example_id
int64 0
10k
| metadata
stringlengths 679
723
| classification_prompt
stringlengths 6.02k
15.1k
| classification_completion
stringclasses 14
values | classification_text
stringlengths 6.04k
15.1k
| improved_signature
stringlengths 5.27k
12k
| improved_model_weights
stringlengths 1.76k
5.04k
| training_metrics
stringlengths 1.46k
2.92k
|
|---|---|---|---|---|---|---|---|
200
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6829, "learning_rate": 0.022168260411152302, "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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## Activation Signature
### 0
fourier: [[30.656682, 33.436699, 34.432082, 36.055298, 36.533299, 36.802370, 38.313633, 39.043886, 44.368386, 150.713268], [16.477756, 17.139348, 17.421444, 17.674570, 17.965555, 20.036424, 20.413298, 21.113460, 27.694385, 28.910724], [24.334986, 26.933288, 28.524517, 29.913301, 31.235662, 31.331744, 32.798292, 33.983973, 35.143359, 187.746818], [16.506500, 17.473748, 18.096789, 18.480840, 18.515883, 19.660841, 21.250707, 22.101134, 25.933466, 124.091941], [19.505316, 19.630492, 19.999195, 20.403415, 21.045145, 22.374766, 22.942665, 23.213946, 32.854221, 34.328934], [22.548933, 23.280059, 23.535046, 26.425357, 26.614184, 29.201151, 30.968661, 36.097647, 38.768067, 59.923772], [25.073821, 26.070617, 26.103294, 26.883910, 27.871219, 29.213225, 32.683454, 33.221860, 36.946276, 238.038457], [13.761170, 13.776423, 14.408019, 15.618823, 15.977363, 16.868287, 17.610471, 17.732428, 20.603628, 26.111168]]
### 2
fourier: [[26.071730, 28.791376, 29.129793, 30.508911, 33.353923, 34.104440, 34.347505, 35.147703, 35.338724, 121.144729], [35.303452, 38.741916, 39.269927, 40.862838, 41.237759, 41.329151, 42.002455, 43.779778, 43.819076, 228.735232], [39.493662, 46.410080, 48.549680, 49.114384, 53.675125, 54.833437, 55.776791, 59.528358, 60.822939, 246.353711], [25.377344, 27.978477, 29.333731, 29.994878, 30.229778, 30.334928, 30.485685, 31.399589, 33.724406, 176.454266], [31.483150, 32.761240, 34.196379, 34.233502, 35.847629, 36.829298, 37.322060, 38.813688, 44.005520, 127.163512], [44.377074, 44.506805, 49.533601, 49.643348, 51.625245, 52.153604, 52.423931, 54.528795, 57.223641, 265.099212], [54.579030, 61.753719, 65.262412, 66.056839, 67.185622, 69.969800, 70.975451, 72.077581, 76.996710, 344.091377], [15.690799, 17.703074, 19.321532, 20.371730, 21.047213, 23.090727, 23.532486, 24.425911, 24.871957, 88.907441]]
### 4
fourier: [[58.758231, 65.536636, 68.276338, 68.460022, 74.962914, 76.394485, 77.052894, 78.447191, 84.733998, 312.988135], [24.149887, 28.372082, 30.115227, 30.889025, 32.732229, 33.596752, 34.351442, 36.091931, 37.444442, 72.270693], [79.670221, 88.458124, 92.839593, 93.437288, 104.659915, 105.528946, 105.601821, 106.020529, 112.601456, 409.184558], [28.892813, 32.607382, 34.186901, 34.932640, 36.710807, 37.311299, 38.044694, 41.868421, 42.623797, 119.674535], [67.649680, 74.752259, 79.602007, 80.169291, 88.601292, 89.535792, 90.014298, 90.370890, 97.192588, 352.708651], [52.974374, 59.194084, 62.505439, 62.700688, 70.159576, 70.380331, 70.673687, 71.871412, 76.074730, 308.059232], [64.598902, 67.307030, 75.227998, 76.066642, 82.175356, 82.915544, 83.480741, 84.019932, 88.751923, 335.869251], [21.257020, 22.929146, 24.373789, 25.362205, 26.118936, 26.994567, 27.171812, 28.441675, 29.434586, 85.021359]]
### 6
fourier: [[120.617999, 134.986628, 141.779221, 142.166294, 159.513072, 159.659576, 160.201960, 162.185791, 176.161050, 624.646547], [73.137176, 79.733559, 85.164784, 85.538312, 95.602000, 95.876878, 96.121026, 96.436745, 105.674253, 315.331328], [48.489359, 54.694949, 57.725848, 58.252580, 64.580491, 65.194119, 65.398965, 65.479370, 70.765370, 330.044675], [112.288836, 124.210763, 131.919239, 132.457932, 148.706709, 148.999243, 149.038100, 149.364205, 161.930022, 561.126845], [100.975075, 113.862704, 119.460980, 119.866681, 134.171561, 135.134989, 135.321472, 136.192754, 147.765295, 527.229769], [137.150917, 152.086995, 161.216939, 161.993227, 180.986702, 181.191079, 181.817273, 183.259892, 199.172492, 676.608396], [109.520774, 118.637359, 127.367216, 128.259138, 143.151183, 143.393083, 143.760729, 143.836197, 158.027876, 527.566025], [67.717696, 75.629048, 80.768507, 81.534398, 90.279509, 90.388714, 90.560853, 91.039867, 97.901821, 419.842287]]
### 8
fourier: [[64.278660, 74.270794, 76.530784, 77.238792, 86.059051, 86.636571, 87.155535, 88.145033, 95.647742, 303.473708], [110.556718, 127.135045, 131.680669, 133.322928, 147.960678, 150.070753, 150.117734, 151.018610, 163.746523, 513.133221], [325.458553, 372.090859, 386.742812, 390.187347, 434.728108, 439.525497, 440.838448, 442.980477, 480.898608, 1704.504010], [73.573582, 83.862874, 87.172859, 88.314263, 97.832446, 99.327963, 99.526164, 99.855144, 108.938476, 355.965440], [338.556618, 386.203605, 402.122096, 405.519086, 451.782990, 456.856883, 458.407940, 460.288979, 500.068276, 1748.890836], [257.855942, 294.745078, 306.374688, 309.254052, 344.150899, 348.173658, 349.248380, 350.952442, 381.098228, 1309.995025], [89.270591, 101.427153, 105.842937, 107.164396, 118.805423, 120.619800, 120.858635, 120.998048, 132.075480, 426.232631], [55.898576, 63.531111, 66.325121, 66.852523, 74.346909, 75.525779, 75.604793, 75.836159, 82.479389, 255.462918]]
### 10
fourier: [[472.377278, 540.535136, 561.341423, 566.055633, 629.312790, 640.165648, 642.153127, 644.231738, 699.894549, 2404.887244]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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## Activation Signature
### 0
fourier: [[30.656682, 33.436699, 34.432082, 36.055298, 36.533299, 36.802370, 38.313633, 39.043886, 44.368386, 150.713268], [16.477756, 17.139348, 17.421444, 17.674570, 17.965555, 20.036424, 20.413298, 21.113460, 27.694385, 28.910724], [24.334986, 26.933288, 28.524517, 29.913301, 31.235662, 31.331744, 32.798292, 33.983973, 35.143359, 187.746818], [16.506500, 17.473748, 18.096789, 18.480840, 18.515883, 19.660841, 21.250707, 22.101134, 25.933466, 124.091941], [19.505316, 19.630492, 19.999195, 20.403415, 21.045145, 22.374766, 22.942665, 23.213946, 32.854221, 34.328934], [22.548933, 23.280059, 23.535046, 26.425357, 26.614184, 29.201151, 30.968661, 36.097647, 38.768067, 59.923772], [25.073821, 26.070617, 26.103294, 26.883910, 27.871219, 29.213225, 32.683454, 33.221860, 36.946276, 238.038457], [13.761170, 13.776423, 14.408019, 15.618823, 15.977363, 16.868287, 17.610471, 17.732428, 20.603628, 26.111168]]
### 2
fourier: [[26.071730, 28.791376, 29.129793, 30.508911, 33.353923, 34.104440, 34.347505, 35.147703, 35.338724, 121.144729], [35.303452, 38.741916, 39.269927, 40.862838, 41.237759, 41.329151, 42.002455, 43.779778, 43.819076, 228.735232], [39.493662, 46.410080, 48.549680, 49.114384, 53.675125, 54.833437, 55.776791, 59.528358, 60.822939, 246.353711], [25.377344, 27.978477, 29.333731, 29.994878, 30.229778, 30.334928, 30.485685, 31.399589, 33.724406, 176.454266], [31.483150, 32.761240, 34.196379, 34.233502, 35.847629, 36.829298, 37.322060, 38.813688, 44.005520, 127.163512], [44.377074, 44.506805, 49.533601, 49.643348, 51.625245, 52.153604, 52.423931, 54.528795, 57.223641, 265.099212], [54.579030, 61.753719, 65.262412, 66.056839, 67.185622, 69.969800, 70.975451, 72.077581, 76.996710, 344.091377], [15.690799, 17.703074, 19.321532, 20.371730, 21.047213, 23.090727, 23.532486, 24.425911, 24.871957, 88.907441]]
### 4
fourier: [[58.758231, 65.536636, 68.276338, 68.460022, 74.962914, 76.394485, 77.052894, 78.447191, 84.733998, 312.988135], [24.149887, 28.372082, 30.115227, 30.889025, 32.732229, 33.596752, 34.351442, 36.091931, 37.444442, 72.270693], [79.670221, 88.458124, 92.839593, 93.437288, 104.659915, 105.528946, 105.601821, 106.020529, 112.601456, 409.184558], [28.892813, 32.607382, 34.186901, 34.932640, 36.710807, 37.311299, 38.044694, 41.868421, 42.623797, 119.674535], [67.649680, 74.752259, 79.602007, 80.169291, 88.601292, 89.535792, 90.014298, 90.370890, 97.192588, 352.708651], [52.974374, 59.194084, 62.505439, 62.700688, 70.159576, 70.380331, 70.673687, 71.871412, 76.074730, 308.059232], [64.598902, 67.307030, 75.227998, 76.066642, 82.175356, 82.915544, 83.480741, 84.019932, 88.751923, 335.869251], [21.257020, 22.929146, 24.373789, 25.362205, 26.118936, 26.994567, 27.171812, 28.441675, 29.434586, 85.021359]]
### 6
fourier: [[120.617999, 134.986628, 141.779221, 142.166294, 159.513072, 159.659576, 160.201960, 162.185791, 176.161050, 624.646547], [73.137176, 79.733559, 85.164784, 85.538312, 95.602000, 95.876878, 96.121026, 96.436745, 105.674253, 315.331328], [48.489359, 54.694949, 57.725848, 58.252580, 64.580491, 65.194119, 65.398965, 65.479370, 70.765370, 330.044675], [112.288836, 124.210763, 131.919239, 132.457932, 148.706709, 148.999243, 149.038100, 149.364205, 161.930022, 561.126845], [100.975075, 113.862704, 119.460980, 119.866681, 134.171561, 135.134989, 135.321472, 136.192754, 147.765295, 527.229769], [137.150917, 152.086995, 161.216939, 161.993227, 180.986702, 181.191079, 181.817273, 183.259892, 199.172492, 676.608396], [109.520774, 118.637359, 127.367216, 128.259138, 143.151183, 143.393083, 143.760729, 143.836197, 158.027876, 527.566025], [67.717696, 75.629048, 80.768507, 81.534398, 90.279509, 90.388714, 90.560853, 91.039867, 97.901821, 419.842287]]
### 8
fourier: [[64.278660, 74.270794, 76.530784, 77.238792, 86.059051, 86.636571, 87.155535, 88.145033, 95.647742, 303.473708], [110.556718, 127.135045, 131.680669, 133.322928, 147.960678, 150.070753, 150.117734, 151.018610, 163.746523, 513.133221], [325.458553, 372.090859, 386.742812, 390.187347, 434.728108, 439.525497, 440.838448, 442.980477, 480.898608, 1704.504010], [73.573582, 83.862874, 87.172859, 88.314263, 97.832446, 99.327963, 99.526164, 99.855144, 108.938476, 355.965440], [338.556618, 386.203605, 402.122096, 405.519086, 451.782990, 456.856883, 458.407940, 460.288979, 500.068276, 1748.890836], [257.855942, 294.745078, 306.374688, 309.254052, 344.150899, 348.173658, 349.248380, 350.952442, 381.098228, 1309.995025], [89.270591, 101.427153, 105.842937, 107.164396, 118.805423, 120.619800, 120.858635, 120.998048, 132.075480, 426.232631], [55.898576, 63.531111, 66.325121, 66.852523, 74.346909, 75.525779, 75.604793, 75.836159, 82.479389, 255.462918]]
### 10
fourier: [[472.377278, 540.535136, 561.341423, 566.055633, 629.312790, 640.165648, 642.153127, 644.231738, 699.894549, 2404.887244]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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74.34690853057629, 75.52577866380474, 75.60479300542498, 75.83615878330743, 82.47938904677565, 255.46291813254356]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [472.37727828064885, 540.5351363215344, 561.3414233128796, 566.0556332887692, 629.312789827111, 640.1656478504128, 642.1531266662861, 644.2317383252907, 699.8945488166696, 2404.887244299054]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_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"}}
|
{"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": [[0.768069, 0.528666, 0.252998, -0.35855, 0.002965], [0.058019, 0.409589, 0.356069, -0.354465, -0.014689], [0.392601, 0.399249, 0.551254, 0.124533, -0.045603], [0.322124, -0.197418, 0.444858, 0.242577, 0.044243], [0.419059, 0.593212, -0.367222, -0.175494, -0.28393], [0.818075, -0.063582, 0.057987, -0.318303, -0.103037], [0.036191, 0.023246, -0.480431, -0.250392, -0.698238], [0.419743, -0.386131, 0.100843, -0.234021, 0.05367]], "network.0.bias": [-0.007824, -0.462875, -0.492332, -0.166346, 0.063568, 0.452164, -0.330589, 0.30533], "network.2.weight": [[-0.081145, 0.386453, 0.229528, 0.194838, 0.427843, 0.618486, 0.042751, 0.126828], [-0.496582, -0.146033, -0.528976, -0.435378, -0.513401, 0.397691, -0.29663, -0.229604], [0.524404, 0.001349, 0.085557, 0.421281, 0.371783, 0.715161, 0.025509, 0.287925], [0.05471, 0.06475, 0.380689, 0.402995, 0.62609, 0.064472, 0.080139, 0.073308], [0.432644, 0.069771, 0.502283, -0.239595, 0.126756, 0.172656, -0.051339, 0.618068], [0.296079, 0.281263, 0.570794, 0.188704, 0.525568, 0.361817, 0.231256, 0.44671], [-0.595387, -0.417337, -0.487774, -0.582027, -0.114391, -0.656927, -0.001659, -0.195379], [-0.033128, 0.144084, 0.131353, 0.533814, 0.051109, 0.30226, 0.454795, -0.003593]], "network.2.bias": [-0.336672, 0.088017, 0.120808, 0.041674, -0.52183, 0.059672, -0.022547, -0.306491], "network.4.weight": [[0.131303, 0.210477, 0.331385, -0.09494, 0.719844, 0.50655, 0.597778, 0.120499], [-0.59816, -0.474183, 0.019921, 0.114246, -0.425139, 0.004817, -0.586056, -0.128501], [0.695409, 0.586019, 0.538766, 0.347195, 0.319408, 0.468428, 0.384801, 0.145996], [-0.468296, -0.723871, 0.14321, -0.102939, -0.689873, -0.012273, -0.353444, -0.052797], [0.244547, 0.686, 0.498213, 0.299664, 0.422901, 0.396278, 0.320955, 0.312064], [0.378727, 0.517497, 0.415356, 0.10707, 0.080309, 0.44881, 0.15216, 0.176304], [0.6, 0.435309, 0.182982, 0.45781, 0.172172, 0.349784, 0.131509, 0.61429], [-0.463224, -0.102045, 0.224009, -0.098183, -0.386857, -0.040826, -0.237422, -0.219967]], "network.4.bias": [-0.030383, 0.443211, -0.42571, 0.206303, -0.357399, 0.035566, -0.282295, 0.169845], "network.6.weight": [[0.39925, -0.659948, 0.595487, -0.581355, 0.616675, -0.11034, 0.215454, 0.152243], [0.16747, -0.240054, 0.301268, -0.584892, 0.298217, 0.034493, 0.251028, -0.445288], [-0.187951, -0.017485, 0.173365, -0.101187, -0.2395, -0.504264, -0.141632, -0.0893], [-0.03604, -0.343885, 0.454223, -0.431186, 0.339273, 0.493884, 0.449625, 0.035482], [0.35786, -0.124092, 0.309954, -0.15493, 0.640466, 0.288585, -0.042154, -0.411483], [0.456909, -0.579247, 0.44258, -0.54315, 0.477933, 0.074862, 0.605352, 0.009375], [0.209672, -0.649251, 0.225992, -0.632009, 0.360509, 0.338169, 0.539752, -0.393501], [-0.204115, -0.224201, 0.131867, 0.118304, -0.243915, -0.246242, -0.601652, -0.14558]], "network.6.bias": [0.136524, -0.577578, -0.623403, -0.307464, -0.084781, -0.33725, -0.29007, -0.479003], "network.8.weight": [[-0.168655, -0.515533, -0.406305, 0.315205, -0.108512, -0.246834, 0.001411, -0.127265], [0.272413, -0.671443, -0.582786, -0.180536, 0.175918, -0.479498, -0.298271, -0.208622], [0.515671, 0.45023, 0.236775, 0.611661, 0.417256, 0.448011, 0.632577, 0.338935], [-0.182698, -0.550565, -0.233683, 0.042708, 0.229656, -0.046553, -0.336657, -0.725574], [0.57145, 0.089597, 0.528377, 0.621735, 0.578182, 0.602934, 0.56374, 0.46837], [0.438458, 0.301057, 0.268449, 0.340437, 0.159043, 0.545369, 0.576477, 0.110359], [0.084603, -0.411832, -0.772243, -0.042526, 0.046004, -0.21949, -0.39301, -0.59667], [-0.163333, -0.307483, -0.495106, -0.236455, 0.144351, -0.152774, 0.163133, -0.73663]], "network.8.bias": [0.269459, 0.526761, -0.041923, 0.138478, -0.327031, -0.488091, 0.22952, 0.227305], "network.10.weight": [[0.290029, 0.644174, -0.460408, 0.25357, -0.473795, -0.629358, 0.549179, 0.272442]], "network.10.bias": [0.321692]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6857546269893646, "train_acc": 0.57, "val_loss": 0.6879743337631226, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.671665757894516, "train_acc": 0.57, "val_loss": 0.6640145182609558, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6328031718730927, "train_acc": 0.57, "val_loss": 0.6099343299865723, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5966613590717316, "train_acc": 0.495, "val_loss": 0.5564401745796204, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5226999521255493, "train_acc": 0.495, "val_loss": 0.47252705693244934, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.45175325870513916, "train_acc": 0.54, "val_loss": 0.4179942011833191, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.42029787600040436, "train_acc": 0.81, "val_loss": 0.3778063952922821, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3611978739500046, "train_acc": 0.905, "val_loss": 0.36015138030052185, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3284069448709488, "train_acc": 0.915, "val_loss": 0.29608726501464844, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3001083880662918, "train_acc": 0.93, "val_loss": 0.2650795876979828, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.26230761408805847, "train_acc": 0.91, "val_loss": 0.2357129454612732, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.23299220204353333, "train_acc": 0.935, "val_loss": 0.2383611649274826, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.22534660249948502, "train_acc": 0.935, "val_loss": 0.17559055984020233, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6879743337631226, "final_val_loss": 0.6099343299865723, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5564401745796204, "final_val_loss": 0.17559055984020233, "initial_val_acc": 0.52, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
201
|
{"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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7635, "learning_rate": 0.05806577086210553, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.49694,
-0.523857,
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-0.047206,
0.362965
],
[
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0.184909,
0.155406,
-0.20833
],
[
0.975139,
0.963965,
0.185338,
-0.257645,
0.13061
],
[
-0.587336,
-0.052505,
-0.358986,
-0.036781,
-0.348473
],
[
0.618581,
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],
[
-0.351355,
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0.395829
]
],
"network.0.bias": [
0.015478,
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],
"network.2.weight": [
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[
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0.098689
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[
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],
[
0.061404,
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],
[
0.027308,
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0.070063
],
[
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]
],
"network.2.bias": [
0.237372,
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],
"network.4.weight": [
[
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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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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],
"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[21.823681, 22.766319, 23.147507, 25.912803, 27.141434, 27.978904, 29.037131, 29.565082, 32.238809, 121.497823], [24.394191, 25.468856, 26.306433, 27.475503, 28.213102, 30.997902, 31.861300, 33.780776, 37.582128, 233.206506], [42.968911, 44.602073, 48.698886, 48.743800, 49.100345, 50.135587, 50.578502, 53.047524, 54.061437, 241.396999], [24.103162, 25.658307, 26.005872, 27.371751, 27.534759, 31.796216, 32.536509, 38.044942, 38.719234, 183.708095], [37.065231, 38.185725, 39.563230, 41.649307, 42.059683, 42.536058, 43.206218, 51.005602, 53.228797, 185.108082], [16.700149, 17.662127, 18.255147, 20.717128, 20.918558, 22.852810, 22.889468, 26.170485, 28.076542, 111.203140]]
### 2
fourier: [[57.049932, 57.506271, 57.526647, 58.210552, 61.931078, 65.417939, 66.565124, 66.692024, 70.365933, 383.120542], [25.460501, 28.573647, 28.712825, 28.855045, 29.749629, 30.583007, 30.992073, 31.648103, 33.739189, 176.276050], [14.220913, 15.358591, 16.187820, 16.247794, 16.720604, 16.894089, 17.137108, 17.503513, 18.709213, 65.000694], [40.259114, 43.736468, 44.466799, 45.272074, 46.045886, 46.287369, 48.438267, 49.634347, 50.760878, 231.757733], [18.436072, 18.578705, 19.518671, 19.897933, 21.716214, 21.879427, 22.352652, 23.096377, 23.725327, 133.094711], [18.868698, 19.966376, 20.073229, 20.154384, 20.741667, 22.494440, 22.724115, 23.048824, 23.762285, 67.748434]]
### 4
fourier: [[23.553688, 23.835943, 24.254093, 24.266671, 25.381283, 27.228467, 27.830712, 28.284961, 28.858461, 197.732937], [39.364707, 39.870279, 40.714098, 40.990963, 43.185053, 44.131500, 46.730776, 46.808567, 48.139831, 274.327499], [6.812948, 7.173081, 8.529324, 8.564892, 8.734469, 8.871335, 9.497264, 9.504743, 9.838180, 26.233251], [41.831694, 42.375910, 43.277713, 44.636416, 47.503675, 47.963918, 49.523043, 50.267196, 52.231466, 278.573761], [72.986114, 75.693366, 77.447792, 77.529779, 82.216719, 82.470681, 87.578372, 88.145846, 91.126482, 451.323777], [5.546977, 5.596931, 6.004238, 6.110920, 6.696702, 7.129905, 7.300484, 7.356926, 7.415343, 56.770055]]
### 6
fourier: [[62.790220, 64.764329, 66.625242, 66.807381, 70.794988, 70.831944, 75.740721, 76.060185, 78.128435, 393.619669], [20.472621, 20.702341, 21.133155, 21.710982, 22.772122, 23.228936, 24.457616, 24.518737, 25.297204, 101.694051], [18.644545, 18.653882, 18.660870, 19.748048, 20.279860, 21.381245, 22.125312, 22.198952, 22.875028, 69.559729], [83.432921, 85.015467, 87.245036, 88.586744, 93.496833, 94.341625, 100.200170, 100.227648, 103.420967, 521.998735], [27.488176, 27.839312, 28.428931, 29.158212, 30.602913, 31.177366, 32.873737, 32.938643, 33.983412, 201.506995], [43.950645, 44.721781, 46.167938, 46.649479, 49.478364, 49.572915, 52.727132, 52.806367, 54.516453, 262.986618]]
### 8
fourier: [[80.963948, 83.497149, 84.387587, 86.072828, 87.880385, 92.104587, 97.663090, 98.406298, 99.610040, 482.217143], [83.255351, 84.702185, 87.953927, 88.547674, 94.005595, 94.084827, 100.462124, 100.637691, 103.260227, 490.389144], [23.763683, 24.419009, 25.273634, 25.284793, 26.784173, 26.945124, 28.689485, 28.775970, 29.600374, 182.140670], [0.642564, 0.651068, 0.753608, 0.760792, 0.767833, 0.815766, 0.824033, 0.843471, 1.010822, 39.549657], [89.210598, 92.836103, 92.917283, 94.990591, 97.792609, 101.193869, 107.583909, 108.352000, 110.057657, 534.046074], [137.854284, 142.794302, 143.452187, 146.673194, 151.668001, 156.401849, 166.359792, 167.205272, 170.108897, 847.509423]]
### 10
fourier: [[176.834937, 180.380970, 185.878261, 187.685728, 197.809225, 200.282611, 214.468503, 214.612105, 218.875539, 1060.148082]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.362965
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0.155406,
-0.20833
],
[
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0.185338,
-0.257645,
0.13061
],
[
-0.587336,
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-0.358986,
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[
0.618581,
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],
[
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0.395829
]
],
"network.0.bias": [
0.015478,
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0.043921,
0.070063,
0.028444
],
"network.2.weight": [
[
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[
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0.098689
],
[
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0.226045,
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],
[
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],
[
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0.070063
],
[
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0.185422,
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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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[
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],
"network.6.bias": [
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"network.8.weight": [
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"network.8.bias": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
0.315215
]
}
## Activation Signature
### 0
fourier: [[21.823681, 22.766319, 23.147507, 25.912803, 27.141434, 27.978904, 29.037131, 29.565082, 32.238809, 121.497823], [24.394191, 25.468856, 26.306433, 27.475503, 28.213102, 30.997902, 31.861300, 33.780776, 37.582128, 233.206506], [42.968911, 44.602073, 48.698886, 48.743800, 49.100345, 50.135587, 50.578502, 53.047524, 54.061437, 241.396999], [24.103162, 25.658307, 26.005872, 27.371751, 27.534759, 31.796216, 32.536509, 38.044942, 38.719234, 183.708095], [37.065231, 38.185725, 39.563230, 41.649307, 42.059683, 42.536058, 43.206218, 51.005602, 53.228797, 185.108082], [16.700149, 17.662127, 18.255147, 20.717128, 20.918558, 22.852810, 22.889468, 26.170485, 28.076542, 111.203140]]
### 2
fourier: [[57.049932, 57.506271, 57.526647, 58.210552, 61.931078, 65.417939, 66.565124, 66.692024, 70.365933, 383.120542], [25.460501, 28.573647, 28.712825, 28.855045, 29.749629, 30.583007, 30.992073, 31.648103, 33.739189, 176.276050], [14.220913, 15.358591, 16.187820, 16.247794, 16.720604, 16.894089, 17.137108, 17.503513, 18.709213, 65.000694], [40.259114, 43.736468, 44.466799, 45.272074, 46.045886, 46.287369, 48.438267, 49.634347, 50.760878, 231.757733], [18.436072, 18.578705, 19.518671, 19.897933, 21.716214, 21.879427, 22.352652, 23.096377, 23.725327, 133.094711], [18.868698, 19.966376, 20.073229, 20.154384, 20.741667, 22.494440, 22.724115, 23.048824, 23.762285, 67.748434]]
### 4
fourier: [[23.553688, 23.835943, 24.254093, 24.266671, 25.381283, 27.228467, 27.830712, 28.284961, 28.858461, 197.732937], [39.364707, 39.870279, 40.714098, 40.990963, 43.185053, 44.131500, 46.730776, 46.808567, 48.139831, 274.327499], [6.812948, 7.173081, 8.529324, 8.564892, 8.734469, 8.871335, 9.497264, 9.504743, 9.838180, 26.233251], [41.831694, 42.375910, 43.277713, 44.636416, 47.503675, 47.963918, 49.523043, 50.267196, 52.231466, 278.573761], [72.986114, 75.693366, 77.447792, 77.529779, 82.216719, 82.470681, 87.578372, 88.145846, 91.126482, 451.323777], [5.546977, 5.596931, 6.004238, 6.110920, 6.696702, 7.129905, 7.300484, 7.356926, 7.415343, 56.770055]]
### 6
fourier: [[62.790220, 64.764329, 66.625242, 66.807381, 70.794988, 70.831944, 75.740721, 76.060185, 78.128435, 393.619669], [20.472621, 20.702341, 21.133155, 21.710982, 22.772122, 23.228936, 24.457616, 24.518737, 25.297204, 101.694051], [18.644545, 18.653882, 18.660870, 19.748048, 20.279860, 21.381245, 22.125312, 22.198952, 22.875028, 69.559729], [83.432921, 85.015467, 87.245036, 88.586744, 93.496833, 94.341625, 100.200170, 100.227648, 103.420967, 521.998735], [27.488176, 27.839312, 28.428931, 29.158212, 30.602913, 31.177366, 32.873737, 32.938643, 33.983412, 201.506995], [43.950645, 44.721781, 46.167938, 46.649479, 49.478364, 49.572915, 52.727132, 52.806367, 54.516453, 262.986618]]
### 8
fourier: [[80.963948, 83.497149, 84.387587, 86.072828, 87.880385, 92.104587, 97.663090, 98.406298, 99.610040, 482.217143], [83.255351, 84.702185, 87.953927, 88.547674, 94.005595, 94.084827, 100.462124, 100.637691, 103.260227, 490.389144], [23.763683, 24.419009, 25.273634, 25.284793, 26.784173, 26.945124, 28.689485, 28.775970, 29.600374, 182.140670], [0.642564, 0.651068, 0.753608, 0.760792, 0.767833, 0.815766, 0.824033, 0.843471, 1.010822, 39.549657], [89.210598, 92.836103, 92.917283, 94.990591, 97.792609, 101.193869, 107.583909, 108.352000, 110.057657, 534.046074], [137.854284, 142.794302, 143.452187, 146.673194, 151.668001, 156.401849, 166.359792, 167.205272, 170.108897, 847.509423]]
### 10
fourier: [[176.834937, 180.380970, 185.878261, 187.685728, 197.809225, 200.282611, 214.468503, 214.612105, 218.875539, 1060.148082]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": {"fourier": [21.823680560909715, 22.76631925340926, 23.147506941753303, 25.91280333602899, 27.14143415501115, 27.97890433416736, 29.03713104156073, 29.565082021222487, 32.238808541028575, 121.49782296363264]}, "1": {"fourier": [24.39419060729709, 25.46885563431515, 26.306433276593847, 27.475503406203263, 28.213102321326488, 30.99790187588613, 31.861300436030533, 33.78077649422588, 37.58212793230442, 233.20650577545166]}, "2": {"fourier": [42.96891132953726, 44.602072996745285, 48.69888619450118, 48.743800004120104, 49.100345136909745, 50.135587178641956, 50.57850160297525, 53.04752411790828, 54.0614374223018, 241.39699932932854]}, "3": {"fourier": [24.103161994665033, 25.658307300760576, 26.005871614090264, 27.371750615372935, 27.534759254694688, 31.796215848307856, 32.53650867428068, 38.04494163879495, 38.719234109245875, 183.7080948241055]}, "4": {"fourier": [37.06523077633448, 38.1857252337861, 39.563229711715856, 41.64930704590726, 42.05968256206614, 42.53605804813843, 43.206218062041046, 51.005601794591556, 53.22879738305661, 185.10808193683624]}, "5": {"fourier": [16.700148813335925, 17.662126824438847, 18.255146775257764, 20.717128100360473, 20.918558237241605, 22.852809721908642, 22.8894676482774, 26.170485213496214, 28.076542246592584, 111.20313976705074]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [57.04993189039769, 57.50627074131533, 57.52664652155697, 58.21055178363801, 61.93107848061084, 65.41793866426258, 66.56512413946339, 66.69202366784363, 70.3659327643319, 383.12054166942835]}, "1": {"fourier": [25.46050126617016, 28.573647260153145, 28.712825191721503, 28.855044934128653, 29.749628938251487, 30.583006919616416, 30.99207269637708, 31.648102689104373, 33.73918887961804, 176.27605046331882]}, "2": {"fourier": [14.220912768165629, 15.35859071798763, 16.187820323968023, 16.247793783983738, 16.720604353663177, 16.894089415631225, 17.137107900588205, 17.50351332568146, 18.709213050397118, 65.00069377571344]}, "3": {"fourier": [40.25911439004632, 43.736468024121514, 44.466798690602324, 45.272073970747726, 46.04588560707454, 46.28736898602549, 48.43826717290686, 49.63434715042782, 50.76087770298414, 231.75773304700851]}, "4": {"fourier": [18.436072052046484, 18.57870522729319, 19.518670580801324, 19.897933440971453, 21.71621370389276, 21.8794270762878, 22.35265191860806, 23.096376670466455, 23.725326905600724, 133.09471136331558]}, "5": {"fourier": [18.86869772640598, 19.96637572438157, 20.07322917798614, 20.154383714952537, 20.741667371777762, 22.494440111368867, 22.724114808171525, 23.048824346512443, 23.762284859977438, 67.74843376129866]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [23.553687532312647, 23.83594321857441, 24.254093355197178, 24.266670977372915, 25.381282855775567, 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"num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [176.83493731345462, 180.3809700357938, 185.87826111825964, 187.6857282621183, 197.80922506013462, 200.28261075497255, 214.46850280021968, 214.612104922537, 218.87553943190784, 1060.1480821967125]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.49694, -0.523857, -0.066486, -0.047206, 0.362965], [0.459089, 0.604545, 0.184909, 0.155406, -0.20833], [0.975139, 0.963965, 0.185338, -0.257645, 0.13061], [-0.587336, -0.052505, -0.358986, -0.036781, -0.348473], [0.618581, 0.819803, 0.494749, -0.579114, -0.055586], [-0.351355, -0.344553, -0.086614, -0.236054, 0.395829]], "network.0.bias": [0.015478, 0.455682, -0.283607, 0.043921, 0.070063, 0.028444], "network.2.weight": [[-0.524162, 0.470974, 0.617085, 0.168956, 0.506128, -0.317334], [0.177549, -0.060432, -0.28257, -0.267219, -0.379042, 0.098689], [0.053673, -0.022194, 0.174185, -0.075049, 0.226045, -0.233217], [0.061404, 0.259433, 0.350792, -0.037529, 0.57564, -0.426031], [0.027308, 0.048904, -0.40075, 0.150968, -0.084278, 0.070063], [0.006356, 0.529015, -0.418397, 0.185422, -0.361043, -0.103054]], "network.2.bias": [0.237372, -0.17221, -0.207541, -0.361643, -0.307883, -0.126933], "network.4.weight": [[-0.405288, 0.178351, 0.228585, -0.101194, 0.132416, -0.17973], [-0.4666, -0.259811, 0.137459, -0.370489, -0.133386, -0.120852], [-0.146546, -0.039712, -0.001158, -0.000402, 0.044839, -0.491047], [0.567361, -0.14205, 0.319208, 0.158655, 0.170937, 0.485537], [0.781771, -0.005049, 0.271828, 0.644326, -0.023457, 0.014936], [-0.352895, 0.07318, 0.300316, 0.246275, 0.169755, 0.169873]], "network.4.bias": [-0.348526, -0.168785, 0.426708, -0.086646, -0.233031, -0.036433], "network.6.weight": [[-0.030359, 0.151871, -0.125027, 0.142171, 0.779356, -0.06484], [-0.095362, 0.015336, 0.15858, -0.297013, -0.106581, -0.061112], [0.091697, 0.381756, 0.355904, -0.458009, 0.015286, 0.339435], [0.329391, -0.014192, -0.366737, 0.776988, 0.690697, -0.172356], [0.395506, -0.271313, 0.204182, -0.375001, -0.157083, 0.0946], [0.276586, 0.283634, -0.066784, 0.376359, 0.384832, 0.050198]], "network.6.bias": [0.027073, 0.313921, 0.542837, -0.049935, -0.303168, -0.172343], "network.8.weight": [[0.375128, -0.268266, -0.713126, 0.511383, -0.378839, 0.299252], [0.275176, 0.004842, 0.052598, 0.589136, -0.072343, 0.393133], [-0.368466, -0.087742, -0.008953, -0.086711, 0.178806, 0.148108], [0.211932, -0.298249, 0.048782, -0.214972, 0.279345, 0.085844], [0.760371, -0.605599, -0.399579, 0.363586, -0.364564, 0.223946], [0.74992, -0.507064, -0.666125, 0.89067, 0.154012, 0.338672]], "network.8.bias": [-0.024699, -0.338393, -0.337312, -0.360593, -0.077735, 0.082144], "network.10.weight": [[-0.329325, -0.333363, -0.394997, -0.039736, -0.345491, -0.677249]], "network.10.bias": [0.315215]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6820095777511597, "train_acc": 0.56, "val_loss": 0.6814537048339844, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6800961196422577, "train_acc": 0.56, "val_loss": 0.6302118897438049, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6128887832164764, "train_acc": 0.485, "val_loss": 0.44932669401168823, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4843975156545639, "train_acc": 0.52, "val_loss": 0.414917528629303, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4330318868160248, "train_acc": 0.925, "val_loss": 0.3588140904903412, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3939395397901535, "train_acc": 0.93, "val_loss": 0.3259117007255554, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.34486714005470276, "train_acc": 0.945, "val_loss": 0.3192219138145447, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3419855535030365, "train_acc": 0.92, "val_loss": 0.31181156635284424, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.30878444015979767, "train_acc": 0.935, "val_loss": 0.300334632396698, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.29326505959033966, "train_acc": 0.94, "val_loss": 0.2997840940952301, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2887599766254425, "train_acc": 0.94, "val_loss": 0.2842717468738556, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2409796267747879, "train_acc": 0.95, "val_loss": 0.29896363615989685, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6814537048339844, "final_val_loss": 0.6302118897438049, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.44932669401168823, "final_val_loss": 0.29896363615989685, "initial_val_acc": 0.56, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
202
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8409, "learning_rate": 0.08606864833972301, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.901952
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[
-0.462857,
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],
[
1.122942,
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[
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]
],
"network.0.bias": [
-0.119848,
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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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"network.6.bias": [
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"network.8.weight": [
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[
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"network.8.bias": [
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"network.10.weight": [
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[
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[18.247481, 18.827394, 18.864436, 18.915643, 19.219582, 21.380957, 21.989284, 24.367663, 25.898034, 134.773627], [21.784557, 23.076940, 23.395573, 23.888468, 24.759217, 26.989869, 28.297838, 29.340962, 29.734095, 201.764428], [34.299633, 35.479238, 35.866716, 36.016491, 37.078689, 37.451046, 37.515337, 46.352491, 50.226793, 174.742063], [32.160022, 33.099719, 34.871907, 35.578708, 36.225631, 38.035431, 39.630647, 40.643372, 41.163244, 186.462217], [32.711639, 33.997318, 34.471833, 35.147324, 37.012304, 38.394801, 43.621219, 44.955512, 46.509659, 92.438949], [22.914963, 23.398084, 25.319486, 26.551287, 30.454225, 31.530038, 31.574727, 31.612790, 37.843932, 65.474723]]
### 2
fourier: [[36.956921, 38.411014, 40.291898, 41.040980, 42.917360, 49.390975, 50.750974, 60.501811, 62.334646, 361.058218], [30.112406, 30.213389, 30.310516, 30.557236, 31.842786, 34.905621, 39.997205, 40.260444, 41.952040, 42.172262], [23.294790, 24.065841, 24.118056, 26.144439, 26.778785, 28.560333, 30.353205, 31.639593, 32.165671, 94.908612], [27.286512, 31.932295, 33.082451, 33.456707, 34.341421, 34.445369, 34.964821, 36.481977, 37.249014, 301.004531], [41.976619, 45.485083, 49.328924, 49.730195, 50.133866, 51.479096, 54.961139, 56.095312, 56.446913, 127.475023], [18.051320, 18.087927, 19.714299, 21.158305, 22.383723, 22.631098, 23.745731, 27.001211, 28.744919, 201.272911]]
### 4
fourier: [[11.520884, 12.002249, 12.624270, 12.723974, 13.430136, 14.054492, 14.825333, 15.555438, 18.571337, 103.916243], [18.292632, 18.759269, 18.972165, 20.426749, 20.580586, 21.990309, 22.031108, 23.814478, 27.748350, 152.999616], [21.245734, 21.253812, 21.278922, 22.934458, 23.401261, 25.829167, 26.740111, 28.132998, 28.597786, 68.690548], [25.414949, 26.038220, 26.690172, 27.546036, 27.718560, 29.697271, 30.334512, 32.699634, 34.867746, 97.967313], [17.214037, 17.332235, 17.568845, 19.264117, 19.827215, 20.396191, 20.794183, 22.948681, 25.383084, 134.193861], [27.446927, 28.548384, 31.759219, 32.292297, 32.881580, 34.847732, 34.931735, 36.685355, 43.448742, 325.478931]]
### 6
fourier: [[35.800112, 38.087282, 39.056853, 42.127772, 42.312127, 43.888742, 45.514853, 49.954057, 55.232581, 285.458809], [15.767567, 16.185657, 18.294839, 18.544856, 18.590546, 20.801196, 22.797798, 23.112220, 26.257957, 33.735928], [21.448936, 21.683405, 21.807730, 22.651735, 23.754061, 24.131196, 25.734564, 27.621251, 30.573267, 121.629104], [11.013728, 11.030016, 11.532091, 11.734280, 12.244950, 13.315186, 13.610684, 13.978757, 15.114691, 76.139783], [35.679951, 36.383989, 37.007686, 38.575174, 39.616360, 40.262111, 42.990523, 46.690413, 50.980259, 239.450793], [25.950862, 27.306473, 27.483717, 27.564420, 29.354503, 32.787657, 33.434232, 33.830619, 34.726370, 82.743055]]
### 8
fourier: [[59.593898, 61.586829, 61.992401, 64.591834, 66.324662, 67.301370, 72.935103, 79.385105, 84.810241, 357.563646], [33.808889, 35.151498, 35.627608, 38.547179, 39.493812, 40.724974, 42.242571, 46.552109, 51.407278, 268.865936], [61.553566, 63.237942, 64.149608, 69.630883, 69.961138, 72.230634, 76.668798, 84.229789, 90.898714, 447.648374], [43.330525, 44.549164, 45.491887, 46.653434, 48.293982, 48.830345, 53.123909, 57.701723, 61.459376, 257.819050], [37.937473, 39.122926, 41.781263, 48.002377, 50.313522, 50.898066, 51.609728, 56.489150, 62.096266, 548.830829], [47.608036, 49.622265, 50.939595, 52.000529, 53.252834, 53.320164, 58.811914, 63.732984, 66.966501, 299.959994]]
### 10
fourier: [[41.932446, 43.038838, 43.376310, 46.439421, 46.909554, 52.273640, 53.619020, 54.680923, 56.698383, 243.536524], [42.123246, 44.125076, 44.495088, 46.781328, 47.441208, 53.427745, 54.350515, 55.067703, 57.105266, 197.125861], [24.702554, 24.874540, 25.523216, 25.845753, 28.264804, 28.927685, 32.493246, 33.350451, 36.064507, 52.340849], [9.650017, 10.226607, 10.290617, 10.619268, 10.820282, 10.970460, 10.984137, 11.814652, 12.651586, 112.424265], [25.929025, 27.133319, 27.592014, 29.584828, 29.641771, 31.572565, 33.428809, 34.531146, 36.485109, 172.360343], [24.613447, 25.694259, 25.863984, 27.134744, 30.305563, 30.790865, 32.275783, 33.139624, 35.926425, 81.760370]]
### 12
fourier: [[39.589166, 40.706643, 41.148755, 44.399291, 45.041746, 48.799942, 50.859150, 53.059950, 54.604811, 262.293688]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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:
{
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[
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"network.12.bias": [
-0.159373
]
}
## Activation Signature
### 0
fourier: [[18.247481, 18.827394, 18.864436, 18.915643, 19.219582, 21.380957, 21.989284, 24.367663, 25.898034, 134.773627], [21.784557, 23.076940, 23.395573, 23.888468, 24.759217, 26.989869, 28.297838, 29.340962, 29.734095, 201.764428], [34.299633, 35.479238, 35.866716, 36.016491, 37.078689, 37.451046, 37.515337, 46.352491, 50.226793, 174.742063], [32.160022, 33.099719, 34.871907, 35.578708, 36.225631, 38.035431, 39.630647, 40.643372, 41.163244, 186.462217], [32.711639, 33.997318, 34.471833, 35.147324, 37.012304, 38.394801, 43.621219, 44.955512, 46.509659, 92.438949], [22.914963, 23.398084, 25.319486, 26.551287, 30.454225, 31.530038, 31.574727, 31.612790, 37.843932, 65.474723]]
### 2
fourier: [[36.956921, 38.411014, 40.291898, 41.040980, 42.917360, 49.390975, 50.750974, 60.501811, 62.334646, 361.058218], [30.112406, 30.213389, 30.310516, 30.557236, 31.842786, 34.905621, 39.997205, 40.260444, 41.952040, 42.172262], [23.294790, 24.065841, 24.118056, 26.144439, 26.778785, 28.560333, 30.353205, 31.639593, 32.165671, 94.908612], [27.286512, 31.932295, 33.082451, 33.456707, 34.341421, 34.445369, 34.964821, 36.481977, 37.249014, 301.004531], [41.976619, 45.485083, 49.328924, 49.730195, 50.133866, 51.479096, 54.961139, 56.095312, 56.446913, 127.475023], [18.051320, 18.087927, 19.714299, 21.158305, 22.383723, 22.631098, 23.745731, 27.001211, 28.744919, 201.272911]]
### 4
fourier: [[11.520884, 12.002249, 12.624270, 12.723974, 13.430136, 14.054492, 14.825333, 15.555438, 18.571337, 103.916243], [18.292632, 18.759269, 18.972165, 20.426749, 20.580586, 21.990309, 22.031108, 23.814478, 27.748350, 152.999616], [21.245734, 21.253812, 21.278922, 22.934458, 23.401261, 25.829167, 26.740111, 28.132998, 28.597786, 68.690548], [25.414949, 26.038220, 26.690172, 27.546036, 27.718560, 29.697271, 30.334512, 32.699634, 34.867746, 97.967313], [17.214037, 17.332235, 17.568845, 19.264117, 19.827215, 20.396191, 20.794183, 22.948681, 25.383084, 134.193861], [27.446927, 28.548384, 31.759219, 32.292297, 32.881580, 34.847732, 34.931735, 36.685355, 43.448742, 325.478931]]
### 6
fourier: [[35.800112, 38.087282, 39.056853, 42.127772, 42.312127, 43.888742, 45.514853, 49.954057, 55.232581, 285.458809], [15.767567, 16.185657, 18.294839, 18.544856, 18.590546, 20.801196, 22.797798, 23.112220, 26.257957, 33.735928], [21.448936, 21.683405, 21.807730, 22.651735, 23.754061, 24.131196, 25.734564, 27.621251, 30.573267, 121.629104], [11.013728, 11.030016, 11.532091, 11.734280, 12.244950, 13.315186, 13.610684, 13.978757, 15.114691, 76.139783], [35.679951, 36.383989, 37.007686, 38.575174, 39.616360, 40.262111, 42.990523, 46.690413, 50.980259, 239.450793], [25.950862, 27.306473, 27.483717, 27.564420, 29.354503, 32.787657, 33.434232, 33.830619, 34.726370, 82.743055]]
### 8
fourier: [[59.593898, 61.586829, 61.992401, 64.591834, 66.324662, 67.301370, 72.935103, 79.385105, 84.810241, 357.563646], [33.808889, 35.151498, 35.627608, 38.547179, 39.493812, 40.724974, 42.242571, 46.552109, 51.407278, 268.865936], [61.553566, 63.237942, 64.149608, 69.630883, 69.961138, 72.230634, 76.668798, 84.229789, 90.898714, 447.648374], [43.330525, 44.549164, 45.491887, 46.653434, 48.293982, 48.830345, 53.123909, 57.701723, 61.459376, 257.819050], [37.937473, 39.122926, 41.781263, 48.002377, 50.313522, 50.898066, 51.609728, 56.489150, 62.096266, 548.830829], [47.608036, 49.622265, 50.939595, 52.000529, 53.252834, 53.320164, 58.811914, 63.732984, 66.966501, 299.959994]]
### 10
fourier: [[41.932446, 43.038838, 43.376310, 46.439421, 46.909554, 52.273640, 53.619020, 54.680923, 56.698383, 243.536524], [42.123246, 44.125076, 44.495088, 46.781328, 47.441208, 53.427745, 54.350515, 55.067703, 57.105266, 197.125861], [24.702554, 24.874540, 25.523216, 25.845753, 28.264804, 28.927685, 32.493246, 33.350451, 36.064507, 52.340849], [9.650017, 10.226607, 10.290617, 10.619268, 10.820282, 10.970460, 10.984137, 11.814652, 12.651586, 112.424265], [25.929025, 27.133319, 27.592014, 29.584828, 29.641771, 31.572565, 33.428809, 34.531146, 36.485109, 172.360343], [24.613447, 25.694259, 25.863984, 27.134744, 30.305563, 30.790865, 32.275783, 33.139624, 35.926425, 81.760370]]
### 12
fourier: [[39.589166, 40.706643, 41.148755, 44.399291, 45.041746, 48.799942, 50.859150, 53.059950, 54.604811, 262.293688]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[-0.515119, -0.282177, 0.077823, -0.211428, 0.055476], [-0.48448, -0.017076, 0.401459, 0.47298, 0.425266], [-0.062351, -0.580679, -0.124075, -0.744561, 0.901952], [-0.462857, -0.280286, 0.4699, 0.679259, 0.803636], [1.122942, -0.031032, 0.134221, 0.03414, -0.234993], [0.814038, 0.263557, -0.038809, -0.252813, -0.306949]], "network.0.bias": [-0.119848, 0.498475, -0.062417, -0.270808, -0.377552, 0.235994], "network.2.weight": [[-0.48535, -0.225945, 0.175299, -0.789306, -0.998371, -0.335058], [-0.302725, -0.278413, -0.706735, -0.125396, 0.48556, 0.557669], [-0.367, -0.266657, 0.198318, 0.225149, -0.656958, -0.189034], [0.218984, -0.802451, 0.207499, -0.466736, -0.135438, -0.240038], [-0.038009, 0.3385, 0.95265, 0.59401, -0.429715, -0.765466], [0.134217, -0.165673, 0.012432, -0.480111, -0.152553, -0.460929]], "network.2.bias": [-0.307193, -0.164801, -0.063473, -0.147667, 0.334224, -0.166571], "network.4.weight": [[-0.825486, -0.063793, -0.462984, 0.342291, 0.424038, -1.106941], [-0.672595, -0.0409, -1.152717, -0.241306, 0.688525, -1.106772], [0.540352, 0.418321, 1.321077, 0.028232, -0.566292, 1.251043], [0.081216, 0.434764, 1.390689, 0.78221, -0.717548, 1.049995], [-0.254596, -0.067583, -1.308245, 0.06301, 0.634688, -1.116934], [0.514539, -0.040686, 0.980599, 0.083779, -1.090684, 0.965124]], "network.4.bias": [0.190102, 0.105847, 0.28804, 0.286878, 0.054611, -1.107965], "network.6.weight": [[0.308239, 0.932032, -0.376196, -0.102968, 0.784871, 0.295017], [0.049575, 0.277302, 0.837331, 0.547518, -0.513365, -0.683999], [0.342412, 0.573544, 0.213971, -0.616499, 0.199201, 0.374567], [0.09906, 0.57258, -0.212107, -0.226819, -0.228855, -0.249578], [0.47566, 0.534719, -0.434382, -0.270108, 0.872535, 0.10594], [0.010594, -1.145228, 0.346909, 0.80931, 0.221569, -0.514346]], "network.6.bias": [0.319305, 0.172625, -0.108417, 0.250183, 0.214195, 0.262387], "network.8.weight": [[-0.615593, 0.588353, -0.667663, -0.484969, -0.381563, 0.246282], [-0.274019, 0.165581, -0.612097, -0.476804, -0.240452, 0.022154], [0.803941, 0.058641, 0.542868, 0.202605, 0.530222, -0.703728], [-0.578078, 0.196195, -0.326938, -0.319025, -0.236111, 0.445732], [-0.320416, -0.760169, -0.084724, -1.293465, -0.88488, -0.808358], [-0.604845, 0.595515, -0.311126, -0.204564, -0.307923, 0.222536]], "network.8.bias": [0.096071, -0.224123, 0.160957, 0.146758, -0.677037, -0.248801], "network.10.weight": [[-0.682742, -0.360628, 0.538238, -0.669416, -0.163142, 0.023165], [-0.740153, -0.356641, 0.533075, -0.231479, 0.058072, -0.386213], [0.622859, 0.407765, -0.201148, 0.34957, -0.178748, 0.336231], [-0.222602, -0.078174, -0.189323, -0.156994, -0.709769, -0.153481], [0.173388, 0.05907, -0.356702, 0.132763, 0.676456, 0.469358], [0.525888, -0.208561, -0.231284, 0.596674, 0.131916, 0.258843]], "network.10.bias": [0.39242, -0.05876, -0.041091, -0.063595, -0.324852, -0.195453], "network.12.weight": [[-0.771602, -0.234219, 0.411286, 0.131197, 0.146936, 0.310423]], "network.12.bias": [-0.159373]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876892447471619, "train_acc": 0.58, "val_loss": 0.7187071442604065, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6665319204330444, "train_acc": 0.58, "val_loss": 0.6235044598579407, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7729543149471283, "train_acc": 0.54, "val_loss": 0.44293326139450073, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5219907164573669, "train_acc": 0.825, "val_loss": 0.5637980699539185, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5809122323989868, "train_acc": 0.715, "val_loss": 0.4987422227859497, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4858733117580414, "train_acc": 0.785, "val_loss": 0.35828912258148193, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4413784593343735, "train_acc": 0.89, "val_loss": 0.2979966402053833, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.33982110023498535, "train_acc": 0.89, "val_loss": 0.29643768072128296, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2932179421186447, "train_acc": 0.885, "val_loss": 0.2445279359817505, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21931806951761246, "train_acc": 0.915, "val_loss": 0.16269242763519287, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1671825870871544, "train_acc": 0.95, "val_loss": 0.1599263995885849, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17093076556921005, "train_acc": 0.95, "val_loss": 0.14740529656410217, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7187071442604065, "final_val_loss": 0.6235044598579407, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.44293326139450073, "final_val_loss": 0.14740529656410217, "initial_val_acc": 0.92, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
203
|
{"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3148, "learning_rate": 0.024068512856563737, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"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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[
0.808823,
0.30562,
0.169651,
0.567282,
0.550374,
-0.575522
],
[
0.292976,
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-0.088919,
-0.158546,
-0.216719,
0.25594
]
],
"network.4.bias": [
-0.508455,
0.555219,
0.424215,
-0.252139,
-0.346573,
-0.360883
],
"network.6.weight": [
[
0.042579,
0.167375,
0.012347,
0.00806,
-0.085008,
-0.018276
],
[
0.680107,
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-0.537365,
0.095761,
0.813159,
-0.138526
],
[
0.532112,
-0.124245,
0.033849,
-0.184737,
0.492327,
0.283143
],
[
0.070867,
-0.276399,
0.02573,
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0.219284,
-0.195277
],
[
0.131473,
0.417715,
0.498723,
0.357021,
0.04557,
0.334946
],
[
0.722681,
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0.180709,
0.226098,
0.079503
]
],
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-0.529468,
0.071077,
0.020257,
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-0.089273
],
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[
-0.062958,
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-0.16465,
-0.478737,
0.198147,
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],
"network.8.bias": [
0.466658
]
}
## Activation Signature
### 0
fourier: [[18.106904, 19.587401, 19.669867, 20.454783, 20.770007, 21.176301, 21.433929, 22.318230, 23.507606, 26.243820], [15.765154, 15.980457, 16.755852, 17.433271, 17.556114, 17.807359, 18.883675, 20.818693, 23.023321, 39.547824], [18.395640, 19.344198, 20.987266, 21.710268, 25.102863, 25.472089, 26.238466, 30.537341, 33.864481, 182.301342], [18.577303, 18.930878, 19.010040, 19.299448, 21.670563, 22.156176, 22.219111, 22.747776, 25.014331, 45.242672], [12.712435, 13.398337, 14.073739, 14.447480, 14.569912, 14.714732, 15.272485, 15.445648, 18.011404, 32.428214], [11.875599, 12.477090, 12.564314, 13.028803, 13.692586, 14.506144, 14.829371, 15.158261, 15.551025, 85.769789]]
### 2
fourier: [[16.643803, 17.948155, 18.737089, 19.142290, 19.722527, 23.097214, 23.864416, 24.505053, 28.692045, 94.778907], [14.196167, 14.864088, 16.398748, 16.513353, 16.608144, 17.106151, 17.563681, 17.664331, 22.629009, 129.431180], [5.135452, 5.286893, 5.427221, 5.693490, 5.697866, 5.754714, 6.255964, 7.097979, 7.545924, 53.695452], [10.357664, 10.474425, 10.838804, 10.883755, 10.896402, 11.296722, 11.670725, 12.546546, 17.014121, 64.263893], [12.617889, 12.654130, 14.070571, 15.761461, 15.802109, 19.251104, 19.280091, 19.389019, 20.502236, 131.581764], [4.971659, 5.350424, 5.484211, 5.699967, 5.747424, 6.489727, 6.794066, 6.865516, 6.868168, 7.840443]]
### 4
fourier: [[26.633918, 26.788681, 26.886186, 28.885530, 29.506141, 30.783616, 32.799141, 35.660218, 40.371688, 156.634200], [7.157509, 7.384187, 7.787558, 8.101188, 8.262849, 8.976362, 9.111572, 9.456049, 10.943557, 11.222197], [7.788207, 8.259448, 8.597695, 8.674876, 9.261614, 10.609079, 11.070805, 11.366467, 12.079395, 12.261434], [5.366048, 5.742180, 6.114060, 6.251370, 6.511195, 6.573013, 6.705707, 7.063971, 9.095033, 81.735606], [28.712172, 29.851602, 30.580541, 30.682177, 35.638287, 36.865248, 41.018469, 42.048584, 43.708474, 189.767140], [4.924156, 5.657848, 5.730882, 5.789425, 6.428578, 6.657683, 7.024728, 7.402885, 9.809774, 87.427833]]
### 6
fourier: [[1.884543, 1.982183, 2.022523, 2.099199, 2.178536, 2.419280, 2.500822, 2.599010, 2.720010, 53.803532], [41.641271, 42.111584, 46.596970, 47.094014, 48.012502, 54.427099, 57.062295, 60.649752, 64.905659, 253.524705], [27.521686, 27.861320, 29.838209, 30.455239, 30.961188, 35.593077, 36.519397, 39.934098, 42.482032, 179.958517], [8.535388, 8.733652, 9.390446, 9.399970, 10.138502, 10.928815, 11.845269, 12.390001, 13.107922, 27.462405], [3.133299, 3.267024, 3.290225, 3.304797, 3.395765, 4.004153, 4.430802, 4.567855, 4.651921, 24.237140], [25.168706, 25.898705, 26.895671, 27.629308, 28.293492, 31.972374, 32.294219, 35.957675, 38.864203, 146.887775]]
### 8
fourier: [[44.025787, 45.463853, 47.931050, 49.371524, 49.497095, 58.318812, 59.766755, 64.941195, 68.149654, 239.459338]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
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[
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[
-0.090581,
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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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0.745218,
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],
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],
[
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]
],
"network.2.bias": [
-0.474859,
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],
"network.4.weight": [
[
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],
[
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0.551978
],
[
-0.500178,
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0.013781
],
[
0.10725,
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],
[
0.808823,
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],
[
0.292976,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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0.070867,
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"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
0.466658
]
}
## Activation Signature
### 0
fourier: [[18.106904, 19.587401, 19.669867, 20.454783, 20.770007, 21.176301, 21.433929, 22.318230, 23.507606, 26.243820], [15.765154, 15.980457, 16.755852, 17.433271, 17.556114, 17.807359, 18.883675, 20.818693, 23.023321, 39.547824], [18.395640, 19.344198, 20.987266, 21.710268, 25.102863, 25.472089, 26.238466, 30.537341, 33.864481, 182.301342], [18.577303, 18.930878, 19.010040, 19.299448, 21.670563, 22.156176, 22.219111, 22.747776, 25.014331, 45.242672], [12.712435, 13.398337, 14.073739, 14.447480, 14.569912, 14.714732, 15.272485, 15.445648, 18.011404, 32.428214], [11.875599, 12.477090, 12.564314, 13.028803, 13.692586, 14.506144, 14.829371, 15.158261, 15.551025, 85.769789]]
### 2
fourier: [[16.643803, 17.948155, 18.737089, 19.142290, 19.722527, 23.097214, 23.864416, 24.505053, 28.692045, 94.778907], [14.196167, 14.864088, 16.398748, 16.513353, 16.608144, 17.106151, 17.563681, 17.664331, 22.629009, 129.431180], [5.135452, 5.286893, 5.427221, 5.693490, 5.697866, 5.754714, 6.255964, 7.097979, 7.545924, 53.695452], [10.357664, 10.474425, 10.838804, 10.883755, 10.896402, 11.296722, 11.670725, 12.546546, 17.014121, 64.263893], [12.617889, 12.654130, 14.070571, 15.761461, 15.802109, 19.251104, 19.280091, 19.389019, 20.502236, 131.581764], [4.971659, 5.350424, 5.484211, 5.699967, 5.747424, 6.489727, 6.794066, 6.865516, 6.868168, 7.840443]]
### 4
fourier: [[26.633918, 26.788681, 26.886186, 28.885530, 29.506141, 30.783616, 32.799141, 35.660218, 40.371688, 156.634200], [7.157509, 7.384187, 7.787558, 8.101188, 8.262849, 8.976362, 9.111572, 9.456049, 10.943557, 11.222197], [7.788207, 8.259448, 8.597695, 8.674876, 9.261614, 10.609079, 11.070805, 11.366467, 12.079395, 12.261434], [5.366048, 5.742180, 6.114060, 6.251370, 6.511195, 6.573013, 6.705707, 7.063971, 9.095033, 81.735606], [28.712172, 29.851602, 30.580541, 30.682177, 35.638287, 36.865248, 41.018469, 42.048584, 43.708474, 189.767140], [4.924156, 5.657848, 5.730882, 5.789425, 6.428578, 6.657683, 7.024728, 7.402885, 9.809774, 87.427833]]
### 6
fourier: [[1.884543, 1.982183, 2.022523, 2.099199, 2.178536, 2.419280, 2.500822, 2.599010, 2.720010, 53.803532], [41.641271, 42.111584, 46.596970, 47.094014, 48.012502, 54.427099, 57.062295, 60.649752, 64.905659, 253.524705], [27.521686, 27.861320, 29.838209, 30.455239, 30.961188, 35.593077, 36.519397, 39.934098, 42.482032, 179.958517], [8.535388, 8.733652, 9.390446, 9.399970, 10.138502, 10.928815, 11.845269, 12.390001, 13.107922, 27.462405], [3.133299, 3.267024, 3.290225, 3.304797, 3.395765, 4.004153, 4.430802, 4.567855, 4.651921, 24.237140], [25.168706, 25.898705, 26.895671, 27.629308, 28.293492, 31.972374, 32.294219, 35.957675, 38.864203, 146.887775]]
### 8
fourier: [[44.025787, 45.463853, 47.931050, 49.371524, 49.497095, 58.318812, 59.766755, 64.941195, 68.149654, 239.459338]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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9.390445516424863, 9.39997001258217, 10.138502164771829, 10.928814647418811, 11.84526935818306, 12.390000918124645, 13.10792183158346, 27.462405428290367]}, "4": {"fourier": [3.1332985693446713, 3.2670242217389798, 3.2902252629206887, 3.3047971701557324, 3.3957652190533145, 4.004153471508849, 4.430801622282455, 4.567855151319937, 4.651920550745608, 24.237140148878098]}, "5": {"fourier": [25.16870616809954, 25.898704687320237, 26.89567139450422, 27.629308312725975, 28.293492321986644, 31.97237378331752, 32.29421876218733, 35.95767450496844, 38.86420278845834, 146.88777482509613]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [44.02578744171777, 45.46385329365986, 47.931050452763955, 49.371523768960635, 49.49709482652883, 58.318812315696135, 59.76675467142701, 64.94119512269896, 68.14965410994893, 239.45933791995049]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.579424, -0.205444, 0.146956, 0.184732, 0.396004], [-0.395822, 0.330341, 0.499979, -0.322273, -0.069503], [-0.359816, -0.083501, -0.196018, -0.385292, -0.381901], [-0.090581, 0.236762, 0.558047, -0.236713, -0.367373], [-0.458622, 0.113335, 0.387944, -0.062485, 0.053868], [-0.312037, -0.11092, 0.146783, 0.305855, 0.099898]], "network.0.bias": [0.013157, 0.062461, 0.281066, -0.020999, -0.01829, 0.457719], "network.2.weight": [[0.613699, 0.380033, 0.118049, 0.619895, 0.44076, 0.170628], [0.706417, 0.456074, -0.03782, 0.096519, 0.17255, 0.408358], [-0.176736, -0.061138, -0.217602, -0.209686, -0.026508, -0.222224], [0.745218, -0.165098, -0.135194, -0.121025, 0.487366, 0.039867], [0.683188, -0.0307, -0.177241, 0.69494, 0.449831, -0.06727], [-0.618483, -0.147966, 0.296921, -0.11601, 0.049348, 0.599392]], "network.2.bias": [-0.474859, 0.11822, -0.035857, 0.185839, 0.373317, -0.059818], "network.4.weight": [[0.595917, 0.430336, 0.252301, 0.847722, 0.259718, -0.199223], [0.046077, -0.003982, -0.314333, -0.249291, -0.414336, 0.551978], [-0.500178, 0.272132, 0.098767, -0.44417, -0.038169, 0.013781], [0.10725, -0.281991, 0.225809, -0.188151, -0.120043, -0.293613], [0.808823, 0.30562, 0.169651, 0.567282, 0.550374, -0.575522], [0.292976, -0.390597, -0.088919, -0.158546, -0.216719, 0.25594]], "network.4.bias": [-0.508455, 0.555219, 0.424215, -0.252139, -0.346573, -0.360883], "network.6.weight": [[0.042579, 0.167375, 0.012347, 0.00806, -0.085008, -0.018276], [0.680107, -0.460711, -0.537365, 0.095761, 0.813159, -0.138526], [0.532112, -0.124245, 0.033849, -0.184737, 0.492327, 0.283143], [0.070867, -0.276399, 0.02573, -0.338591, 0.219284, -0.195277], [0.131473, 0.417715, 0.498723, 0.357021, 0.04557, 0.334946], [0.722681, -0.1399, -0.106829, 0.180709, 0.226098, 0.079503]], "network.6.bias": [-0.529468, 0.071077, 0.020257, -0.236738, -0.245756, -0.089273], "network.8.weight": [[-0.062958, -0.651719, -0.16465, -0.478737, 0.198147, -0.433061]], "network.8.bias": [0.466658]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895707547664642, "train_acc": 0.54, "val_loss": 0.664890468120575, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6655038893222809, "train_acc": 0.54, "val_loss": 0.640122652053833, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6459690928459167, "train_acc": 0.54, "val_loss": 0.6087437868118286, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6203287243843079, "train_acc": 0.58, "val_loss": 0.5740600228309631, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.561638355255127, "train_acc": 0.81, "val_loss": 0.5099773406982422, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5021490305662155, "train_acc": 0.835, "val_loss": 0.43671470880508423, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4364505410194397, "train_acc": 0.88, "val_loss": 0.38227730989456177, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.39584411680698395, "train_acc": 0.885, "val_loss": 0.33244094252586365, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3549436181783676, "train_acc": 0.94, "val_loss": 0.3004542291164398, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32904769480228424, "train_acc": 0.95, "val_loss": 0.2755158543586731, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3048613667488098, "train_acc": 0.955, "val_loss": 0.2578486502170563, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2701823338866234, "train_acc": 0.965, "val_loss": 0.23812656104564667, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.24785903841257095, "train_acc": 0.965, "val_loss": 0.1892823576927185, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.664890468120575, "final_val_loss": 0.6087437868118286, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5740600228309631, "final_val_loss": 0.1892823576927185, "initial_val_acc": 0.78, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
204
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9257, "learning_rate": 0.08390830298690209, "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
fourier: [[27.296699, 28.007803, 29.474403, 31.145231, 41.264596, 42.624603, 42.905926, 47.463471, 56.590199, 134.648759], [29.266979, 29.746253, 33.002980, 35.445111, 40.136645, 46.443459, 50.478147, 53.052501, 63.938914, 164.958762], [10.762752, 10.836798, 11.402804, 12.461175, 15.184062, 16.109196, 16.181193, 16.739960, 18.872814, 127.913463], [29.604161, 30.191489, 30.444667, 31.758566, 33.414724, 34.551967, 34.556513, 39.514630, 41.607599, 55.698774], [25.726394, 26.564113, 28.148370, 30.475513, 30.688555, 31.244333, 32.456624, 33.056131, 33.074619, 38.682392], [24.226537, 24.331093, 25.552286, 25.725418, 27.266968, 29.207691, 32.485949, 33.912155, 35.069237, 81.913982], [16.489189, 17.251614, 17.542809, 17.731720, 19.202840, 21.193171, 22.411162, 25.945547, 27.531642, 162.615085], [18.917653, 20.127216, 22.673371, 23.307503, 24.046436, 25.829758, 25.972978, 30.247754, 31.817210, 240.340747]]
### 2
fourier: [[7.790108, 8.122037, 8.831179, 9.383460, 10.150871, 12.241757, 13.254684, 15.005003, 15.913162, 68.669590], [25.957358, 26.544357, 28.242812, 28.714933, 37.565781, 43.266936, 47.556840, 50.924470, 57.258603, 164.283785], [62.829923, 63.346588, 71.313555, 78.044629, 79.246154, 90.962617, 97.491980, 114.433144, 121.215920, 205.158752], [19.015889, 19.086332, 19.402072, 24.602082, 25.041087, 26.467036, 31.525483, 32.449599, 34.748242, 201.216759], [26.918844, 27.062281, 27.843019, 28.491606, 28.996815, 32.899806, 33.587136, 35.109901, 40.868069, 43.600110], [26.345251, 31.675214, 31.901519, 32.665136, 34.540836, 35.070976, 40.800347, 41.286223, 44.706880, 49.899340], [15.626484, 16.517811, 19.352996, 20.429404, 22.821338, 28.382504, 30.437144, 32.696014, 34.846388, 186.223206], [13.830879, 14.875743, 16.044305, 16.913410, 19.567723, 21.179201, 22.086912, 27.215456, 27.573951, 150.489366]]
### 4
fourier: [[8.824619, 9.082075, 9.175454, 9.676245, 9.746369, 11.026137, 11.033813, 11.064336, 13.643223, 121.787855], [11.979853, 12.546049, 13.347021, 14.496981, 14.856094, 15.906816, 17.193826, 18.274853, 21.970606, 80.939538], [27.917131, 28.533091, 29.873643, 33.422504, 35.542909, 40.924280, 43.802264, 51.045187, 55.568382, 70.794080], [66.752730, 70.807663, 72.284268, 78.343026, 83.566921, 90.581742, 100.445340, 110.489809, 127.179122, 248.013682], [4.831690, 4.872314, 5.072113, 5.181083, 6.186868, 6.303927, 6.336341, 6.447129, 7.808103, 96.647647], [12.675257, 12.682184, 12.768960, 13.733018, 14.133044, 14.556806, 16.678026, 17.250577, 19.649974, 121.518481], [39.290143, 41.063682, 44.139856, 47.269130, 50.096233, 53.212313, 57.361896, 62.223794, 73.578884, 172.384986], [9.966965, 10.604987, 10.946443, 11.771931, 12.458717, 13.174713, 13.983567, 14.392759, 17.750815, 59.582637]]
### 6
fourier: [[42.117229, 45.263978, 47.752861, 50.653806, 55.536177, 55.915487, 61.819503, 65.838632, 81.720425, 239.208696], [84.476106, 91.405478, 96.253668, 102.308768, 111.452835, 112.246878, 123.849932, 131.882016, 163.402327, 416.355737], [32.632588, 35.154091, 37.064015, 39.340413, 43.096958, 43.400750, 47.934069, 51.068638, 63.379541, 179.961158], [28.707784, 30.663575, 32.392547, 34.330273, 37.230279, 37.424385, 41.613865, 44.111665, 54.519858, 162.407710], [45.076835, 48.632148, 51.254823, 54.422825, 59.613962, 60.044385, 66.267247, 70.624796, 87.655735, 235.942646], [21.393269, 23.595079, 24.729132, 26.398092, 28.912036, 29.198299, 31.867969, 34.142347, 42.433853, 137.667473], [19.613949, 20.487636, 21.755168, 22.946037, 24.510179, 24.544142, 27.723220, 29.084370, 35.690248, 123.902722], [98.067064, 105.376901, 111.160316, 117.956391, 128.442005, 129.245625, 143.130752, 152.130547, 188.374317, 450.315711]]
### 8
fourier: [[108.287048, 118.487229, 123.549486, 132.216263, 142.626511, 144.610203, 158.350798, 167.909301, 210.489508, 489.155708], [6.209987, 6.748039, 7.079478, 7.546015, 8.195821, 8.274794, 9.105688, 9.690066, 12.039839, 65.445339], [68.328928, 74.768707, 77.959932, 83.430914, 89.995841, 91.250153, 99.917245, 105.945955, 132.820816, 348.386924], [9.921981, 10.503031, 11.278070, 11.841332, 13.119803, 13.192933, 14.695732, 15.846816, 19.050814, 76.568802], [25.210028, 27.624220, 28.768141, 30.811472, 33.190558, 33.681944, 36.844480, 39.039338, 49.029790, 135.379484], [54.142319, 59.036026, 61.747900, 65.947224, 71.384483, 72.222756, 79.282088, 84.220351, 105.105231, 282.351289], [60.828989, 66.688700, 69.418615, 74.371346, 80.072923, 81.284485, 88.883492, 94.152864, 118.326384, 315.089585], [77.956144, 86.054784, 89.038076, 95.766904, 102.410297, 104.408188, 113.600597, 119.901387, 152.033982, 348.973150]]
### 10
fourier: [[74.984564, 84.471462, 86.585017, 93.744476, 99.480430, 102.089853, 109.639191, 115.452675, 148.454175, 303.703609]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[27.296699, 28.007803, 29.474403, 31.145231, 41.264596, 42.624603, 42.905926, 47.463471, 56.590199, 134.648759], [29.266979, 29.746253, 33.002980, 35.445111, 40.136645, 46.443459, 50.478147, 53.052501, 63.938914, 164.958762], [10.762752, 10.836798, 11.402804, 12.461175, 15.184062, 16.109196, 16.181193, 16.739960, 18.872814, 127.913463], [29.604161, 30.191489, 30.444667, 31.758566, 33.414724, 34.551967, 34.556513, 39.514630, 41.607599, 55.698774], [25.726394, 26.564113, 28.148370, 30.475513, 30.688555, 31.244333, 32.456624, 33.056131, 33.074619, 38.682392], [24.226537, 24.331093, 25.552286, 25.725418, 27.266968, 29.207691, 32.485949, 33.912155, 35.069237, 81.913982], [16.489189, 17.251614, 17.542809, 17.731720, 19.202840, 21.193171, 22.411162, 25.945547, 27.531642, 162.615085], [18.917653, 20.127216, 22.673371, 23.307503, 24.046436, 25.829758, 25.972978, 30.247754, 31.817210, 240.340747]]
### 2
fourier: [[7.790108, 8.122037, 8.831179, 9.383460, 10.150871, 12.241757, 13.254684, 15.005003, 15.913162, 68.669590], [25.957358, 26.544357, 28.242812, 28.714933, 37.565781, 43.266936, 47.556840, 50.924470, 57.258603, 164.283785], [62.829923, 63.346588, 71.313555, 78.044629, 79.246154, 90.962617, 97.491980, 114.433144, 121.215920, 205.158752], [19.015889, 19.086332, 19.402072, 24.602082, 25.041087, 26.467036, 31.525483, 32.449599, 34.748242, 201.216759], [26.918844, 27.062281, 27.843019, 28.491606, 28.996815, 32.899806, 33.587136, 35.109901, 40.868069, 43.600110], [26.345251, 31.675214, 31.901519, 32.665136, 34.540836, 35.070976, 40.800347, 41.286223, 44.706880, 49.899340], [15.626484, 16.517811, 19.352996, 20.429404, 22.821338, 28.382504, 30.437144, 32.696014, 34.846388, 186.223206], [13.830879, 14.875743, 16.044305, 16.913410, 19.567723, 21.179201, 22.086912, 27.215456, 27.573951, 150.489366]]
### 4
fourier: [[8.824619, 9.082075, 9.175454, 9.676245, 9.746369, 11.026137, 11.033813, 11.064336, 13.643223, 121.787855], [11.979853, 12.546049, 13.347021, 14.496981, 14.856094, 15.906816, 17.193826, 18.274853, 21.970606, 80.939538], [27.917131, 28.533091, 29.873643, 33.422504, 35.542909, 40.924280, 43.802264, 51.045187, 55.568382, 70.794080], [66.752730, 70.807663, 72.284268, 78.343026, 83.566921, 90.581742, 100.445340, 110.489809, 127.179122, 248.013682], [4.831690, 4.872314, 5.072113, 5.181083, 6.186868, 6.303927, 6.336341, 6.447129, 7.808103, 96.647647], [12.675257, 12.682184, 12.768960, 13.733018, 14.133044, 14.556806, 16.678026, 17.250577, 19.649974, 121.518481], [39.290143, 41.063682, 44.139856, 47.269130, 50.096233, 53.212313, 57.361896, 62.223794, 73.578884, 172.384986], [9.966965, 10.604987, 10.946443, 11.771931, 12.458717, 13.174713, 13.983567, 14.392759, 17.750815, 59.582637]]
### 6
fourier: [[42.117229, 45.263978, 47.752861, 50.653806, 55.536177, 55.915487, 61.819503, 65.838632, 81.720425, 239.208696], [84.476106, 91.405478, 96.253668, 102.308768, 111.452835, 112.246878, 123.849932, 131.882016, 163.402327, 416.355737], [32.632588, 35.154091, 37.064015, 39.340413, 43.096958, 43.400750, 47.934069, 51.068638, 63.379541, 179.961158], [28.707784, 30.663575, 32.392547, 34.330273, 37.230279, 37.424385, 41.613865, 44.111665, 54.519858, 162.407710], [45.076835, 48.632148, 51.254823, 54.422825, 59.613962, 60.044385, 66.267247, 70.624796, 87.655735, 235.942646], [21.393269, 23.595079, 24.729132, 26.398092, 28.912036, 29.198299, 31.867969, 34.142347, 42.433853, 137.667473], [19.613949, 20.487636, 21.755168, 22.946037, 24.510179, 24.544142, 27.723220, 29.084370, 35.690248, 123.902722], [98.067064, 105.376901, 111.160316, 117.956391, 128.442005, 129.245625, 143.130752, 152.130547, 188.374317, 450.315711]]
### 8
fourier: [[108.287048, 118.487229, 123.549486, 132.216263, 142.626511, 144.610203, 158.350798, 167.909301, 210.489508, 489.155708], [6.209987, 6.748039, 7.079478, 7.546015, 8.195821, 8.274794, 9.105688, 9.690066, 12.039839, 65.445339], [68.328928, 74.768707, 77.959932, 83.430914, 89.995841, 91.250153, 99.917245, 105.945955, 132.820816, 348.386924], [9.921981, 10.503031, 11.278070, 11.841332, 13.119803, 13.192933, 14.695732, 15.846816, 19.050814, 76.568802], [25.210028, 27.624220, 28.768141, 30.811472, 33.190558, 33.681944, 36.844480, 39.039338, 49.029790, 135.379484], [54.142319, 59.036026, 61.747900, 65.947224, 71.384483, 72.222756, 79.282088, 84.220351, 105.105231, 282.351289], [60.828989, 66.688700, 69.418615, 74.371346, 80.072923, 81.284485, 88.883492, 94.152864, 118.326384, 315.089585], [77.956144, 86.054784, 89.038076, 95.766904, 102.410297, 104.408188, 113.600597, 119.901387, 152.033982, 348.973150]]
### 10
fourier: [[74.984564, 84.471462, 86.585017, 93.744476, 99.480430, 102.089853, 109.639191, 115.452675, 148.454175, 303.703609]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [[0.805523, -0.205252, -0.127961, -0.089354, 0.928993], [0.962506, -0.264987, -0.036588, 0.203302, 0.909779], [0.027516, -0.1601, -0.184106, -0.059746, -0.364464], [-0.880349, -0.183965, -0.093212, -0.030383, 0.849081], [-0.654273, -0.233878, -0.027899, -0.04901, 0.985362], [-0.2373, -0.223985, 0.343967, 0.739461, -0.771037], [-0.122384, -0.119702, -0.446086, -0.057877, -0.320471], [-0.290404, -0.042187, -0.617858, -0.077726, -0.105503]], "network.0.bias": [0.180836, -0.363649, -0.201561, 0.02456, 0.013269, 0.260318, 0.014775, -0.644751], "network.2.weight": [[-0.239308, -0.125106, -0.08758, -0.302043, 0.300837, -0.092185, -0.190135, -0.015313], [-0.227655, -0.738381, -0.007402, -0.095198, -0.138551, -0.059071, -0.024642, 0.37088], [0.712323, 0.641981, -0.287811, 0.722397, 1.231675, -0.749712, 0.062604, -0.014299], [-0.14667, -0.46245, 0.20577, -0.350844, -0.230663, -0.517802, -0.032215, -0.00106], [0.303879, -0.012716, 0.134989, 0.543617, 0.302416, -0.551562, 0.624432, 0.043835], [-0.177344, -0.202963, -0.084983, -0.741737, -0.216664, 0.691303, 0.011125, -0.4734], [-0.043458, -0.524235, -0.224138, -0.478517, 0.071373, -0.096996, 0.042481, 0.09142], [0.586928, -0.779469, -0.250647, 0.396719, -0.975034, -0.087794, 0.39252, 0.397182]], "network.2.bias": [-0.027009, 0.283793, -0.490325, -0.049979, 0.213362, 0.384213, -0.618211, -0.543689], "network.4.weight": [[0.08265, -0.443884, -0.102141, 0.023915, -0.044635, -0.722918, -0.186034, -0.372274], [-0.306125, 0.10248, -0.187161, 0.211966, -0.090001, -0.040085, -0.274816, 0.012115], [-0.092762, 0.120043, 0.531895, 0.488128, -0.266164, -0.441723, 0.424016, -0.371536], [0.218589, 0.340554, 1.02325, -0.211574, 0.311132, -0.562052, 0.603883, -0.121499], [0.317606, 0.314681, -0.135823, -0.112354, 0.184899, -0.342063, -0.259553, -0.258337], [-0.320874, -0.123127, -0.197757, -0.09421, -0.147357, -0.352621, 0.065839, -0.230052], [-0.249267, -0.36207, 0.682772, -0.095852, 0.077899, 0.080387, 0.001845, -0.51724], [0.047965, 0.148427, -0.133753, -0.12703, -0.152967, -0.070824, -0.136391, -0.17015]], "network.4.bias": [-0.264562, -0.174512, -0.258488, -0.350074, -0.516001, -0.223178, -0.419169, -0.021447], "network.6.weight": [[-0.429891, 0.273292, -0.493845, -0.492875, -0.147805, 0.150786, -0.008473, -0.321849], [-0.012075, 0.208523, 0.540613, 0.652571, 0.357309, -0.061213, 0.851322, 0.187468], [-0.03294, -0.192522, -0.36846, -0.348122, -0.294035, -0.302958, -0.071524, -0.153769], [0.001914, 0.01223, 0.00141, -0.320993, 0.05193, 0.225127, -0.236289, -0.280727], [-0.592643, 0.134903, -0.515542, -0.45633, 0.139502, -0.023801, -0.135766, -0.044985], [0.194108, 0.160744, -0.317601, -0.048216, -0.245427, -0.034947, -0.301033, -0.069754], [0.127503, 0.342043, 0.350647, -0.303419, 0.222459, 0.052374, -0.233713, -0.079619], [-0.126923, -0.190074, 0.478692, 0.987169, 0.142067, -0.353042, 0.695656, -0.133014]], "network.6.bias": [-0.300181, -0.092126, -0.171988, -0.217372, -0.095435, -0.317869, -0.317886, -0.4533], "network.8.weight": [[-0.183722, 0.701654, -0.338556, -0.121098, 0.312357, 0.035452, 0.2489, 0.518596], [-0.040642, -0.082857, -0.284989, -0.122622, 0.026648, 0.222662, 0.243974, 0.007831], [-0.228198, -0.439581, -0.019437, -0.328092, 0.046664, 0.264679, 0.232486, -0.33002], [0.436887, -0.385679, 0.305006, -0.198385, 0.032882, 0.132432, 0.025126, 0.235806], [-0.283467, -0.12745, -0.161968, 0.044309, -0.159915, -0.126294, -0.094661, -0.152381], [-0.237698, -0.538241, -0.591071, -0.332396, -0.373122, 0.159521, 0.042013, -0.094071], [-0.317342, -0.276148, 0.06931, 0.135326, -0.200526, -0.144484, 0.129425, -0.395336], [-0.093884, -0.181223, 0.380766, 0.28124, 0.611745, -0.347437, -0.277039, 0.978383]], "network.8.bias": [-0.563733, -0.38093, -0.085901, -0.284348, -0.109527, -0.12812, -0.137402, -0.405225], "network.10.weight": [[-0.626038, -0.003716, 0.018256, -0.092188, -0.191602, -0.09205, -0.129886, -0.126543]], "network.10.bias": [0.7342]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6953845024108887, "train_acc": 0.485, "val_loss": 0.7031345963478088, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6645259857177734, "train_acc": 0.575, "val_loss": 0.6920841932296753, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.613141655921936, "train_acc": 0.575, "val_loss": 0.5956820845603943, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.562443345785141, "train_acc": 0.5, "val_loss": 0.5385468006134033, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5106023252010345, "train_acc": 0.61, "val_loss": 0.46824532747268677, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4763660579919815, "train_acc": 0.81, "val_loss": 0.43726685643196106, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.43483656644821167, "train_acc": 0.84, "val_loss": 0.4579698145389557, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4374978244304657, "train_acc": 0.815, "val_loss": 0.44145667552948, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.42357297241687775, "train_acc": 0.825, "val_loss": 0.3867660164833069, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3805934935808182, "train_acc": 0.845, "val_loss": 0.41397804021835327, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.36584171652793884, "train_acc": 0.83, "val_loss": 0.3863718807697296, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.36628855764865875, "train_acc": 0.855, "val_loss": 0.37623074650764465, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.35407572984695435, "train_acc": 0.84, "val_loss": 0.3855273127555847, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7031345963478088, "final_val_loss": 0.5956820845603943, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5385468006134033, "final_val_loss": 0.3855273127555847, "initial_val_acc": 0.5, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
205
|
{"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": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3353, "learning_rate": 0.03732669622464774, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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}
## Activation Signature
### 0
fourier: [[20.029361, 20.038542, 22.139132, 22.808701, 23.157022, 24.861622, 26.296687, 28.221040, 36.568097, 50.646258], [22.714652, 23.292821, 24.041295, 24.570967, 27.918488, 32.958343, 34.837071, 35.539272, 37.118703, 39.852839], [20.094901, 22.863209, 23.830121, 24.314118, 24.471020, 25.313880, 28.043783, 28.992918, 37.292684, 47.882159], [16.861702, 16.977036, 17.022224, 20.364218, 20.890505, 20.912802, 21.705841, 25.448480, 27.211630, 121.843664], [26.695253, 27.801391, 31.884257, 32.959604, 33.748501, 34.874027, 38.766639, 40.384010, 42.911888, 214.507429], [19.678845, 19.884259, 21.996728, 22.476968, 23.657372, 24.008727, 24.393774, 25.480900, 30.400096, 68.385887], [23.722248, 23.979641, 24.125343, 26.096001, 26.156118, 27.085858, 27.894460, 29.663602, 32.566852, 83.656486], [29.698123, 30.418517, 30.432850, 30.457897, 32.044985, 32.318609, 33.294276, 39.341048, 46.813375, 200.960248]]
### 2
fourier: [[8.588147, 9.101804, 9.775696, 10.879659, 10.892580, 11.363829, 11.519962, 14.876006, 15.545463, 158.448852], [16.898455, 16.984073, 19.958494, 21.451384, 22.730477, 24.670132, 26.491302, 28.292050, 33.554638, 45.426695], [50.050079, 50.325872, 50.586930, 52.406310, 52.768470, 54.175587, 59.273440, 59.755776, 71.597940, 355.181997], [11.875565, 12.199760, 14.674377, 15.286314, 16.006827, 16.185887, 16.648161, 17.197542, 17.646178, 19.931656], [10.193065, 11.078671, 12.132429, 12.379904, 12.747602, 13.084643, 17.377818, 17.835338, 21.168106, 30.195852], [12.750359, 13.083564, 13.378332, 14.805304, 15.604504, 17.252626, 17.601078, 17.657767, 21.770822, 75.588401], [12.630582, 13.392980, 14.221393, 14.347367, 15.322306, 16.956441, 17.111421, 18.970773, 20.561159, 167.857779], [14.923491, 16.807358, 16.817708, 16.868242, 17.176118, 17.237978, 17.432888, 18.116941, 18.595895, 19.734489]]
### 4
fourier: [[34.743869, 35.328422, 37.472454, 39.976010, 40.065779, 43.925999, 45.387894, 50.882362, 51.042786, 215.623906], [20.396411, 25.238089, 25.264665, 25.631581, 27.152669, 28.202303, 30.552057, 32.028741, 38.174698, 141.084775], [30.527268, 31.596282, 32.386917, 36.331306, 36.622491, 39.856156, 40.512308, 44.617513, 45.643982, 183.575609], [20.349387, 20.550452, 24.239993, 24.525992, 24.875085, 25.267523, 25.352530, 26.973610, 31.703401, 144.592339], [32.025434, 32.514313, 33.533311, 35.283021, 36.679012, 42.077727, 42.642487, 44.393227, 44.787068, 191.209538], [34.945625, 38.464231, 39.965906, 40.020641, 41.567972, 48.199807, 48.659499, 50.460384, 56.172567, 243.464354], [23.234810, 25.312340, 26.077502, 27.881000, 27.927998, 29.668548, 29.985802, 35.262568, 37.678057, 207.257267], [10.379736, 10.967743, 11.309370, 11.314332, 12.729747, 13.303838, 15.816684, 15.965968, 18.386899, 51.389850]]
### 6
fourier: [[5.637649, 5.800588, 6.214341, 7.025948, 7.181569, 7.367068, 7.680707, 8.424164, 9.496776, 26.554984], [68.572114, 74.967326, 80.740677, 82.742320, 83.926187, 93.187544, 95.720514, 100.945421, 108.480782, 420.299802], [12.337084, 14.394566, 15.258013, 15.435460, 15.558132, 17.178299, 17.293405, 18.787660, 20.901644, 89.272039], [26.708756, 28.914056, 31.550013, 32.883955, 32.937199, 35.624436, 36.872389, 39.723741, 41.712246, 207.152031], [28.962323, 33.186555, 34.906582, 35.061484, 36.723172, 41.359476, 41.728877, 42.553986, 49.936833, 65.017089], [18.484661, 18.683831, 18.831455, 21.797635, 22.907191, 22.964783, 23.608553, 28.085793, 28.201121, 30.762794], [9.360811, 10.203287, 10.300756, 11.151941, 11.573024, 11.646044, 12.537092, 12.928375, 13.179565, 72.112333], [97.261785, 105.691196, 113.144950, 113.872939, 117.765255, 132.450511, 136.824882, 138.879634, 150.938071, 581.173746]]
### 8
fourier: [[118.234479, 125.988876, 133.668147, 135.087600, 137.769070, 161.015454, 162.532775, 164.067319, 180.094128, 571.992858]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[20.029361, 20.038542, 22.139132, 22.808701, 23.157022, 24.861622, 26.296687, 28.221040, 36.568097, 50.646258], [22.714652, 23.292821, 24.041295, 24.570967, 27.918488, 32.958343, 34.837071, 35.539272, 37.118703, 39.852839], [20.094901, 22.863209, 23.830121, 24.314118, 24.471020, 25.313880, 28.043783, 28.992918, 37.292684, 47.882159], [16.861702, 16.977036, 17.022224, 20.364218, 20.890505, 20.912802, 21.705841, 25.448480, 27.211630, 121.843664], [26.695253, 27.801391, 31.884257, 32.959604, 33.748501, 34.874027, 38.766639, 40.384010, 42.911888, 214.507429], [19.678845, 19.884259, 21.996728, 22.476968, 23.657372, 24.008727, 24.393774, 25.480900, 30.400096, 68.385887], [23.722248, 23.979641, 24.125343, 26.096001, 26.156118, 27.085858, 27.894460, 29.663602, 32.566852, 83.656486], [29.698123, 30.418517, 30.432850, 30.457897, 32.044985, 32.318609, 33.294276, 39.341048, 46.813375, 200.960248]]
### 2
fourier: [[8.588147, 9.101804, 9.775696, 10.879659, 10.892580, 11.363829, 11.519962, 14.876006, 15.545463, 158.448852], [16.898455, 16.984073, 19.958494, 21.451384, 22.730477, 24.670132, 26.491302, 28.292050, 33.554638, 45.426695], [50.050079, 50.325872, 50.586930, 52.406310, 52.768470, 54.175587, 59.273440, 59.755776, 71.597940, 355.181997], [11.875565, 12.199760, 14.674377, 15.286314, 16.006827, 16.185887, 16.648161, 17.197542, 17.646178, 19.931656], [10.193065, 11.078671, 12.132429, 12.379904, 12.747602, 13.084643, 17.377818, 17.835338, 21.168106, 30.195852], [12.750359, 13.083564, 13.378332, 14.805304, 15.604504, 17.252626, 17.601078, 17.657767, 21.770822, 75.588401], [12.630582, 13.392980, 14.221393, 14.347367, 15.322306, 16.956441, 17.111421, 18.970773, 20.561159, 167.857779], [14.923491, 16.807358, 16.817708, 16.868242, 17.176118, 17.237978, 17.432888, 18.116941, 18.595895, 19.734489]]
### 4
fourier: [[34.743869, 35.328422, 37.472454, 39.976010, 40.065779, 43.925999, 45.387894, 50.882362, 51.042786, 215.623906], [20.396411, 25.238089, 25.264665, 25.631581, 27.152669, 28.202303, 30.552057, 32.028741, 38.174698, 141.084775], [30.527268, 31.596282, 32.386917, 36.331306, 36.622491, 39.856156, 40.512308, 44.617513, 45.643982, 183.575609], [20.349387, 20.550452, 24.239993, 24.525992, 24.875085, 25.267523, 25.352530, 26.973610, 31.703401, 144.592339], [32.025434, 32.514313, 33.533311, 35.283021, 36.679012, 42.077727, 42.642487, 44.393227, 44.787068, 191.209538], [34.945625, 38.464231, 39.965906, 40.020641, 41.567972, 48.199807, 48.659499, 50.460384, 56.172567, 243.464354], [23.234810, 25.312340, 26.077502, 27.881000, 27.927998, 29.668548, 29.985802, 35.262568, 37.678057, 207.257267], [10.379736, 10.967743, 11.309370, 11.314332, 12.729747, 13.303838, 15.816684, 15.965968, 18.386899, 51.389850]]
### 6
fourier: [[5.637649, 5.800588, 6.214341, 7.025948, 7.181569, 7.367068, 7.680707, 8.424164, 9.496776, 26.554984], [68.572114, 74.967326, 80.740677, 82.742320, 83.926187, 93.187544, 95.720514, 100.945421, 108.480782, 420.299802], [12.337084, 14.394566, 15.258013, 15.435460, 15.558132, 17.178299, 17.293405, 18.787660, 20.901644, 89.272039], [26.708756, 28.914056, 31.550013, 32.883955, 32.937199, 35.624436, 36.872389, 39.723741, 41.712246, 207.152031], [28.962323, 33.186555, 34.906582, 35.061484, 36.723172, 41.359476, 41.728877, 42.553986, 49.936833, 65.017089], [18.484661, 18.683831, 18.831455, 21.797635, 22.907191, 22.964783, 23.608553, 28.085793, 28.201121, 30.762794], [9.360811, 10.203287, 10.300756, 11.151941, 11.573024, 11.646044, 12.537092, 12.928375, 13.179565, 72.112333], [97.261785, 105.691196, 113.144950, 113.872939, 117.765255, 132.450511, 136.824882, 138.879634, 150.938071, 581.173746]]
### 8
fourier: [[118.234479, 125.988876, 133.668147, 135.087600, 137.769070, 161.015454, 162.532775, 164.067319, 180.094128, 571.992858]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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420.29980243742466]}, "2": {"fourier": [12.337083929142393, 14.394566019538486, 15.25801298147358, 15.435459717922388, 15.558131903779776, 17.178298551665954, 17.29340473531932, 18.787659908793103, 20.90164408352841, 89.27203857526183]}, "3": {"fourier": [26.70875609351541, 28.914055634756142, 31.550013206900942, 32.883955447947336, 32.9371985373508, 35.624435952205395, 36.87238926390147, 39.72374077764328, 41.71224610262956, 207.15203148126602]}, "4": {"fourier": [28.9623228186102, 33.18655549757196, 34.90658239930751, 35.06148396298852, 36.72317208635939, 41.35947577766872, 41.7288765360134, 42.55398606377594, 49.93683271567898, 65.01708862185478]}, "5": {"fourier": [18.484660811532933, 18.683830552343373, 18.83145483045924, 21.797635288528586, 22.90719050232107, 22.964782962659612, 23.6085527756108, 28.085792895798516, 28.201121385136116, 30.762794302472628]}, "6": {"fourier": [9.360811045203583, 10.203286642907273, 10.300755934059438, 11.15194095259146, 11.573024158456294, 11.646043611230283, 12.537092418735874, 12.928375430213942, 13.179565430191046, 72.11233329772949]}, "7": {"fourier": [97.26178466961848, 105.69119579083295, 113.14494978599755, 113.87293858929566, 117.76525456695656, 132.45051140662, 136.8248824133686, 138.8796335064428, 150.93807129526627, 581.1737463325262]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [118.23447895903172, 125.98887619482846, 133.66814714425706, 135.08760004175602, 137.76906998314024, 161.01545365119514, 162.53277507832007, 164.06731915758567, 180.09412809731512, 571.9928575307131]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.671622, -0.357153, 0.187061, -0.088965, 0.097866], [-1.046336, 0.263593, 0.112628, -0.190013, 0.315866], [0.828774, -0.267229, -0.346553, 0.161233, 0.262511], [0.338805, 0.431959, 0.065954, 0.155613, -0.079543], [0.124412, 0.851986, 0.465087, 0.154378, -0.19701], [0.180599, -0.148223, -0.734066, 0.322361, 0.170959], [-0.765769, -0.102972, -0.015531, -0.210629, 0.451565], [0.282631, 0.720876, 0.536225, -0.151814, 0.233907]], "network.0.bias": [0.057081, 0.426867, 0.042006, -0.228302, -0.383507, -0.083246, 0.138274, -0.515468], "network.2.weight": [[-0.322339, -0.508585, 0.032831, 0.006754, -0.160541, -0.360617, -0.045688, -0.097499], [0.583134, -0.524031, 0.406631, 0.07231, -0.004614, 0.079811, -0.112414, -0.074005], [0.476422, -0.209404, 0.480081, 0.372362, 0.604747, 0.856013, -0.094405, 0.621417], [0.452798, -0.257023, 0.094781, 0.363175, -0.210285, 0.460871, 0.045305, -0.421243], [0.500924, -0.329648, 0.106859, -0.322262, -0.036088, 0.194496, -0.270812, 0.155982], [0.257538, 0.123721, 0.159081, 0.170615, 0.221351, 0.38618, -0.032563, 0.042423], [0.01817, -0.471818, -0.361483, -0.152148, -0.042321, 0.160732, -0.064058, -0.233252], [-0.08425, 0.532349, 0.189449, -0.26899, -0.334759, -0.053396, 0.368044, 0.033255]], "network.2.bias": [-0.486386, 0.07075, -0.390795, 0.514587, 0.214972, -0.566081, -0.418565, 0.582582], "network.4.weight": [[0.016804, 0.430871, 0.498441, 0.458904, 0.275851, 0.283923, 0.156425, -0.080273], [-0.045085, 0.425315, 0.266968, 0.633853, 0.350134, 0.041805, -0.049304, 0.003607], [0.076535, 0.320134, 0.439494, 0.13497, 0.446486, 0.28863, 0.167734, 0.031274], [0.069091, -0.426529, -0.395471, 0.108399, 0.167731, 0.075887, 0.163925, -0.175189], [0.01763, 0.198984, 0.367581, 0.164937, 0.519823, 0.595398, -0.077811, -0.282898], [-0.180646, 0.634745, 0.435329, 0.456511, 0.516452, 0.173142, 0.130995, -0.184611], [-0.145353, -0.28926, -0.464876, -0.404124, -0.041209, 0.053605, -0.366096, -0.21305], [-0.098224, -0.297737, 0.171472, -0.381254, -0.430657, -0.359553, 0.259739, 0.435732]], "network.4.bias": [-0.471325, -0.295293, -0.508675, 0.182225, -0.233353, -0.03615, 0.006462, 0.617058], "network.6.weight": [[-0.382658, -0.002178, 0.040012, 0.056876, 0.181588, 0.052847, 0.194544, 0.304871], [0.555764, 0.480507, 0.678143, -0.009876, 0.054034, 0.540028, 0.112651, -0.088774], [-0.158518, -0.346459, -0.040918, -0.176929, -0.013618, 0.042053, 0.23071, -0.003328], [-0.343414, -0.271162, -0.235513, -0.171747, -0.062526, -0.038623, 0.132373, -0.064109], [-0.191979, -0.717281, -0.266686, 0.015383, -0.008517, 0.077454, 0.180571, 0.618227], [-0.253464, -0.005958, 0.022912, -0.42835, -0.125446, -0.102716, 0.039818, 0.850963], [-0.062763, 0.084812, -0.13096, -0.35074, -0.191704, 0.019416, 0.106208, -0.005873], [0.683958, 0.414659, 0.585238, 0.020445, 0.717249, 0.720821, -0.119112, -0.54303]], "network.6.bias": [-0.201368, -0.379193, -0.054348, -0.254171, 0.795529, 0.71673, -0.132506, -0.219731], "network.8.weight": [[0.124696, -0.507946, -0.279698, 0.056937, 0.742093, 0.708863, 0.121949, -0.756536]], "network.8.bias": [0.165589]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6936551630496979, "train_acc": 0.565, "val_loss": 0.6911007761955261, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6802290976047516, "train_acc": 0.565, "val_loss": 0.6858476400375366, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6673381626605988, "train_acc": 0.565, "val_loss": 0.6721407175064087, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.645372062921524, "train_acc": 0.565, "val_loss": 0.6436991691589355, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6374149918556213, "train_acc": 0.495, "val_loss": 0.5914751291275024, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.568762481212616, "train_acc": 0.765, "val_loss": 0.5113781094551086, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4723936766386032, "train_acc": 0.81, "val_loss": 0.4133357107639313, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3563874363899231, "train_acc": 0.84, "val_loss": 0.3579970598220825, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3047855347394943, "train_acc": 0.9, "val_loss": 0.2995601296424866, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.23285748809576035, "train_acc": 0.935, "val_loss": 0.24046297371387482, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1895284727215767, "train_acc": 0.94, "val_loss": 0.21182633936405182, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.14691023901104927, "train_acc": 0.94, "val_loss": 0.16958075761795044, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.11133120208978653, "train_acc": 0.955, "val_loss": 0.25426793098449707, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.12618859857320786, "train_acc": 0.955, "val_loss": 0.11013209074735641, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6911007761955261, "final_val_loss": 0.6436991691589355, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5914751291275024, "final_val_loss": 0.11013209074735641, "initial_val_acc": 0.76, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.41999999999999993, "first_improvement_epoch": 3}}
|
206
|
{"target_pattern": "sorted_ascending", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4033, "learning_rate": 0.03611564017559221, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.012306,
0.043206,
-0.34608,
-0.166136,
0.115063
],
[
1.007544,
0.60183,
0.442934,
0.571476,
-0.157155
],
[
0.624574,
0.479874,
0.332699,
-0.195665,
-0.156561
],
[
0.740811,
0.381092,
-0.223553,
0.443233,
-0.18966
],
[
-0.81836,
-1.047256,
-0.043135,
0.449131,
0.451842
]
],
"network.0.bias": [
-0.029056,
0.26637,
0.346796,
-0.163208,
0.529596
],
"network.2.weight": [
[
0.428462,
0.092551,
0.063187,
0.336863,
-0.148634
],
[
-0.256729,
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-0.167507,
0.052646,
0.27023
],
[
-0.059652,
0.719365,
0.649258,
0.459981,
-0.561713
],
[
0.194245,
0.482945,
0.631921,
-0.35094,
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],
[
-0.190446,
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0.173477,
0.624065,
-0.51559
]
],
"network.2.bias": [
-0.233399,
-0.471388,
0.367827,
0.230931,
0.702535
],
"network.4.weight": [
[
0.134328,
0.538405,
0.724953,
0.429431,
0.797016
],
[
-0.964269,
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-0.655139,
-0.637172,
-0.706044
],
[
-0.020011,
0.207215,
0.288206,
0.223485,
0.599963
],
[
-0.466534,
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0.22943,
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],
[
0.550765,
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]
],
"network.4.bias": [
0.017892,
0.249082,
-0.050346,
0.831304,
0.114211
],
"network.6.weight": [
[
0.836856,
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0.849866
],
[
0.032916,
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-0.037711,
0.436398,
0.017513
],
[
0.030204,
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0.025007,
0.750196,
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],
[
0.761909,
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0.038847,
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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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[
0.240271,
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],
[
0.641129,
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],
[
0.794658,
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]
],
"network.8.bias": [
-0.302049,
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],
"network.10.weight": [
[
0.29992,
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-0.18949,
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]
],
"network.10.bias": [
0.714265
]
}
## Activation Signature
### 0
fourier: [[9.094852, 9.166402, 9.215172, 10.116350, 10.490184, 10.709746, 10.777713, 10.940901, 11.484614, 81.262803], [43.002335, 43.877894, 45.348253, 46.419511, 47.669516, 49.543069, 57.237247, 63.232749, 63.279671, 411.640661], [28.124099, 29.072003, 29.973734, 31.544815, 31.655740, 31.974537, 33.244351, 34.692455, 39.101793, 187.268913], [24.330195, 24.858286, 25.944037, 27.973803, 29.585998, 30.981401, 33.919062, 37.279476, 40.010341, 153.244867], [38.250909, 40.270889, 42.872118, 43.994524, 44.414574, 44.653957, 47.334042, 48.124709, 52.032910, 87.015280]]
### 2
fourier: [[14.016478, 14.072891, 15.608788, 15.780826, 16.191043, 16.703282, 18.809005, 19.223629, 21.806211, 71.166311], [27.796059, 28.326089, 29.252944, 29.956835, 31.102033, 34.846899, 36.520512, 37.910294, 38.326712, 267.748299], [59.948313, 60.648818, 63.108287, 63.463375, 69.085628, 77.720279, 82.335824, 82.989822, 86.668950, 493.661102], [32.341728, 36.119573, 36.438747, 36.872240, 39.811645, 41.222777, 42.903790, 42.950125, 49.419498, 252.949581], [47.481494, 49.203124, 50.133872, 54.108215, 55.992173, 58.825394, 66.256702, 66.961059, 74.591532, 431.782045]]
### 4
fourier: [[96.614930, 97.137606, 103.805909, 104.205618, 112.256714, 124.992715, 136.388011, 136.554735, 140.605180, 816.046481], [104.717346, 106.819639, 112.287365, 112.529553, 122.710678, 137.145438, 148.435335, 148.897169, 153.088264, 826.655556], [52.218609, 53.499617, 56.383436, 57.431191, 61.262536, 67.584426, 74.324207, 74.544680, 77.384548, 449.038463], [40.357257, 40.576959, 43.037025, 43.277761, 46.970913, 53.934346, 56.463285, 57.079859, 57.151530, 248.990324], [99.180363, 101.534982, 106.269567, 107.807731, 116.443038, 131.454065, 141.445664, 141.460165, 143.854022, 827.270171]]
### 6
fourier: [[202.346479, 204.535677, 218.993398, 220.303714, 236.691269, 263.289223, 288.349071, 288.805360, 295.667161, 1666.491945], [2.655287, 2.718955, 2.799312, 2.916955, 3.268479, 3.413490, 3.581229, 3.857215, 4.553961, 51.658943], [2.487090, 2.502983, 2.653962, 2.815745, 3.064662, 3.257596, 3.355036, 3.603363, 4.052124, 73.792455], [144.626852, 147.922983, 157.363009, 159.657335, 171.142089, 189.938029, 207.498979, 208.769132, 213.257963, 1199.504527], [5.483215, 5.556332, 5.595753, 6.208600, 6.255858, 6.388670, 6.499408, 7.404350, 8.231796, 18.673937]]
### 8
fourier: [[60.022733, 61.913132, 63.915638, 65.818042, 69.879157, 75.585829, 82.995362, 85.727314, 87.039659, 410.317533], [108.940251, 112.688063, 119.938596, 121.167838, 129.489903, 143.157945, 157.182299, 158.569248, 161.824748, 812.263806], [21.556008, 23.202410, 23.439466, 23.474555, 25.283547, 27.501167, 29.505122, 31.022050, 32.012839, 93.330799], [193.368107, 200.636276, 213.846151, 216.430918, 230.582222, 254.144412, 280.489536, 282.913842, 288.004052, 1526.909195], [240.162010, 246.636643, 263.503940, 266.946123, 284.776169, 314.602617, 346.706864, 348.760602, 355.294509, 1914.657544]]
### 10
fourier: [[287.584697, 291.961823, 313.407411, 316.326775, 338.176915, 373.452493, 412.836546, 413.058481, 420.866692, 2202.240730]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.012306,
0.043206,
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-0.166136,
0.115063
],
[
1.007544,
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0.442934,
0.571476,
-0.157155
],
[
0.624574,
0.479874,
0.332699,
-0.195665,
-0.156561
],
[
0.740811,
0.381092,
-0.223553,
0.443233,
-0.18966
],
[
-0.81836,
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0.449131,
0.451842
]
],
"network.0.bias": [
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0.346796,
-0.163208,
0.529596
],
"network.2.weight": [
[
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0.063187,
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],
[
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0.052646,
0.27023
],
[
-0.059652,
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0.649258,
0.459981,
-0.561713
],
[
0.194245,
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0.631921,
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],
[
-0.190446,
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0.173477,
0.624065,
-0.51559
]
],
"network.2.bias": [
-0.233399,
-0.471388,
0.367827,
0.230931,
0.702535
],
"network.4.weight": [
[
0.134328,
0.538405,
0.724953,
0.429431,
0.797016
],
[
-0.964269,
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-0.655139,
-0.637172,
-0.706044
],
[
-0.020011,
0.207215,
0.288206,
0.223485,
0.599963
],
[
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0.22943,
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-0.406007
],
[
0.550765,
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0.463264
]
],
"network.4.bias": [
0.017892,
0.249082,
-0.050346,
0.831304,
0.114211
],
"network.6.weight": [
[
0.836856,
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0.686397,
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0.849866
],
[
0.032916,
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-0.037711,
0.436398,
0.017513
],
[
0.030204,
0.544217,
0.025007,
0.750196,
-0.046833
],
[
0.761909,
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0.038847,
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0.692339
],
[
-0.04308,
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0.344369,
0.147568
]
],
"network.6.bias": [
-0.216715,
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0.80056,
-0.040338,
0.632712
],
"network.8.weight": [
[
0.071505,
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0.84826,
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0.801396
],
[
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0.57044
],
[
0.240271,
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],
[
0.641129,
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0.451892,
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],
[
0.794658,
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]
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"network.8.bias": [
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-0.05937
],
"network.10.weight": [
[
0.29992,
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-0.18949,
-0.65906,
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]
],
"network.10.bias": [
0.714265
]
}
## Activation Signature
### 0
fourier: [[9.094852, 9.166402, 9.215172, 10.116350, 10.490184, 10.709746, 10.777713, 10.940901, 11.484614, 81.262803], [43.002335, 43.877894, 45.348253, 46.419511, 47.669516, 49.543069, 57.237247, 63.232749, 63.279671, 411.640661], [28.124099, 29.072003, 29.973734, 31.544815, 31.655740, 31.974537, 33.244351, 34.692455, 39.101793, 187.268913], [24.330195, 24.858286, 25.944037, 27.973803, 29.585998, 30.981401, 33.919062, 37.279476, 40.010341, 153.244867], [38.250909, 40.270889, 42.872118, 43.994524, 44.414574, 44.653957, 47.334042, 48.124709, 52.032910, 87.015280]]
### 2
fourier: [[14.016478, 14.072891, 15.608788, 15.780826, 16.191043, 16.703282, 18.809005, 19.223629, 21.806211, 71.166311], [27.796059, 28.326089, 29.252944, 29.956835, 31.102033, 34.846899, 36.520512, 37.910294, 38.326712, 267.748299], [59.948313, 60.648818, 63.108287, 63.463375, 69.085628, 77.720279, 82.335824, 82.989822, 86.668950, 493.661102], [32.341728, 36.119573, 36.438747, 36.872240, 39.811645, 41.222777, 42.903790, 42.950125, 49.419498, 252.949581], [47.481494, 49.203124, 50.133872, 54.108215, 55.992173, 58.825394, 66.256702, 66.961059, 74.591532, 431.782045]]
### 4
fourier: [[96.614930, 97.137606, 103.805909, 104.205618, 112.256714, 124.992715, 136.388011, 136.554735, 140.605180, 816.046481], [104.717346, 106.819639, 112.287365, 112.529553, 122.710678, 137.145438, 148.435335, 148.897169, 153.088264, 826.655556], [52.218609, 53.499617, 56.383436, 57.431191, 61.262536, 67.584426, 74.324207, 74.544680, 77.384548, 449.038463], [40.357257, 40.576959, 43.037025, 43.277761, 46.970913, 53.934346, 56.463285, 57.079859, 57.151530, 248.990324], [99.180363, 101.534982, 106.269567, 107.807731, 116.443038, 131.454065, 141.445664, 141.460165, 143.854022, 827.270171]]
### 6
fourier: [[202.346479, 204.535677, 218.993398, 220.303714, 236.691269, 263.289223, 288.349071, 288.805360, 295.667161, 1666.491945], [2.655287, 2.718955, 2.799312, 2.916955, 3.268479, 3.413490, 3.581229, 3.857215, 4.553961, 51.658943], [2.487090, 2.502983, 2.653962, 2.815745, 3.064662, 3.257596, 3.355036, 3.603363, 4.052124, 73.792455], [144.626852, 147.922983, 157.363009, 159.657335, 171.142089, 189.938029, 207.498979, 208.769132, 213.257963, 1199.504527], [5.483215, 5.556332, 5.595753, 6.208600, 6.255858, 6.388670, 6.499408, 7.404350, 8.231796, 18.673937]]
### 8
fourier: [[60.022733, 61.913132, 63.915638, 65.818042, 69.879157, 75.585829, 82.995362, 85.727314, 87.039659, 410.317533], [108.940251, 112.688063, 119.938596, 121.167838, 129.489903, 143.157945, 157.182299, 158.569248, 161.824748, 812.263806], [21.556008, 23.202410, 23.439466, 23.474555, 25.283547, 27.501167, 29.505122, 31.022050, 32.012839, 93.330799], [193.368107, 200.636276, 213.846151, 216.430918, 230.582222, 254.144412, 280.489536, 282.913842, 288.004052, 1526.909195], [240.162010, 246.636643, 263.503940, 266.946123, 284.776169, 314.602617, 346.706864, 348.760602, 355.294509, 1914.657544]]
### 10
fourier: [[287.584697, 291.961823, 313.407411, 316.326775, 338.176915, 373.452493, 412.836546, 413.058481, 420.866692, 2202.240730]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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{"neuron_profiles": {"0": {"fourier": [287.5846966618637, 291.9618226433012, 313.4074106408387, 316.3267754944992, 338.17691523304046, 373.4524934812489, 412.8365457618255, 413.0584806461965, 420.8666921323105, 2202.2407304644585]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.012306, 0.043206, -0.34608, -0.166136, 0.115063], [1.007544, 0.60183, 0.442934, 0.571476, -0.157155], [0.624574, 0.479874, 0.332699, -0.195665, -0.156561], [0.740811, 0.381092, -0.223553, 0.443233, -0.18966], [-0.81836, -1.047256, -0.043135, 0.449131, 0.451842]], "network.0.bias": [-0.029056, 0.26637, 0.346796, -0.163208, 0.529596], "network.2.weight": [[0.428462, 0.092551, 0.063187, 0.336863, -0.148634], [-0.256729, -0.531923, -0.167507, 0.052646, 0.27023], [-0.059652, 0.719365, 0.649258, 0.459981, -0.561713], [0.194245, 0.482945, 0.631921, -0.35094, -0.524766], [-0.190446, 0.637367, 0.173477, 0.624065, -0.51559]], "network.2.bias": [-0.233399, -0.471388, 0.367827, 0.230931, 0.702535], "network.4.weight": [[0.134328, 0.538405, 0.724953, 0.429431, 0.797016], [-0.964269, -0.992399, -0.655139, -0.637172, -0.706044], [-0.020011, 0.207215, 0.288206, 0.223485, 0.599963], [-0.466534, -0.273204, 0.22943, -0.915101, -0.406007], [0.550765, 0.633379, 0.886058, 0.579943, 0.463264]], "network.4.bias": [0.017892, 0.249082, -0.050346, 0.831304, 0.114211], "network.6.weight": [[0.836856, -0.096083, 0.686397, -0.459594, 0.849866], [0.032916, -0.904067, -0.037711, 0.436398, 0.017513], [0.030204, 0.544217, 0.025007, 0.750196, -0.046833], [0.761909, -0.200704, 0.038847, -0.894225, 0.692339], [-0.04308, 0.70497, -0.284413, 0.344369, 0.147568]], "network.6.bias": [-0.216715, 0.269709, 0.80056, -0.040338, 0.632712], "network.8.weight": [[0.071505, 0.43556, 0.84826, -0.484561, 0.801396], [-0.380585, -0.146238, 0.352863, -0.212603, 0.57044], [0.240271, 0.148182, -0.303376, -0.209421, -0.815645], [0.641129, -0.893544, -0.537537, 0.451892, -0.827795], [0.794658, -0.464758, -0.860288, 0.557037, -0.287365]], "network.8.bias": [-0.302049, 0.587359, -0.337105, -0.056896, -0.05937], "network.10.weight": [[0.29992, 0.633895, -0.18949, -0.65906, -0.644426]], "network.10.bias": [0.714265]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7424656748771667, "train_acc": 0.435, "val_loss": 0.7095987200737, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7201348841190338, "train_acc": 0.435, "val_loss": 0.6991967558860779, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.7035884261131287, "train_acc": 0.435, "val_loss": 0.6886892914772034, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6848633289337158, "train_acc": 0.52, "val_loss": 0.6608791947364807, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.63025763630867, "train_acc": 0.495, "val_loss": 0.5632442235946655, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5320145487785339, "train_acc": 0.745, "val_loss": 0.4662487804889679, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.44815346598625183, "train_acc": 0.88, "val_loss": 0.4149254262447357, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3713786453008652, "train_acc": 0.87, "val_loss": 0.38808971643447876, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3186490535736084, "train_acc": 0.9, "val_loss": 0.36673009395599365, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3015587627887726, "train_acc": 0.9, "val_loss": 0.35898101329803467, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2765728235244751, "train_acc": 0.91, "val_loss": 0.3295997679233551, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2572472095489502, "train_acc": 0.915, "val_loss": 0.3595699965953827, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.24396094679832458, "train_acc": 0.915, "val_loss": 0.28179314732551575, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.21316150203347206, "train_acc": 0.915, "val_loss": 0.35125476121902466, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7095987200737, "final_val_loss": 0.6608791947364807, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5632442235946655, "final_val_loss": 0.35125476121902466, "initial_val_acc": 0.78, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 12}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
207
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2465, "learning_rate": 0.02004110510274515, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[19.344320, 19.518456, 20.383326, 22.182929, 23.490746, 23.572620, 26.075445, 31.174302, 31.190117, 33.608156], [22.020696, 23.716159, 24.229100, 26.133112, 30.744501, 35.391258, 37.135248, 38.794612, 39.560317, 174.051572], [13.352461, 13.437964, 14.287243, 16.218042, 16.218496, 16.843451, 17.480732, 19.125600, 20.181331, 22.747832], [24.362048, 26.358345, 27.027305, 27.353979, 27.430826, 27.580286, 32.554636, 33.501239, 36.842590, 209.632865], [17.116443, 17.483632, 17.550556, 19.691758, 23.517497, 26.728162, 27.090794, 28.573114, 31.428637, 82.501295], [11.603461, 11.931457, 12.347545, 13.024031, 13.509289, 14.226699, 15.335908, 16.660504, 18.384229, 23.676530], [28.297387, 29.735327, 31.474187, 32.013595, 32.533206, 34.367189, 35.015629, 36.924212, 40.953425, 211.643803], [20.057097, 20.303121, 21.870400, 22.419257, 25.101025, 26.169726, 28.849784, 35.499784, 40.982346, 189.376491]]
### 2
fourier: [[17.643070, 17.991367, 18.267530, 18.395618, 21.525578, 23.005407, 26.461475, 27.729162, 31.164437, 184.663598], [15.414855, 17.978309, 18.293937, 19.943035, 20.157745, 20.630068, 22.481137, 26.885689, 29.159839, 110.216847], [23.353012, 23.403591, 25.351143, 27.302187, 28.201814, 28.611803, 28.955235, 37.539128, 43.296474, 138.800114], [13.567318, 14.570894, 15.713949, 16.306972, 16.557751, 19.120369, 20.787880, 23.562437, 24.703318, 102.853150], [4.719168, 4.763105, 4.962135, 5.053122, 5.185482, 5.608697, 6.641079, 6.911749, 7.328133, 8.774933], [12.312996, 12.608674, 12.795601, 13.475821, 13.613796, 14.476533, 14.899306, 15.319930, 20.148397, 88.567746], [8.114827, 8.187459, 8.663104, 8.682576, 8.817612, 9.135438, 10.002553, 10.027219, 10.835910, 13.957183], [18.450595, 19.152384, 19.589894, 22.153797, 22.416778, 22.451648, 22.517729, 30.960331, 35.503427, 116.315101]]
### 4
fourier: [[15.069090, 15.851131, 19.320770, 19.617831, 20.092273, 20.553377, 21.835740, 25.350451, 27.771214, 67.906135], [6.933131, 7.228973, 8.937363, 9.776175, 9.881029, 10.764640, 11.450727, 12.311215, 12.556944, 82.552190], [11.091548, 11.207989, 11.309541, 11.887765, 12.016587, 12.643473, 12.996538, 13.444988, 18.018087, 85.101902], [27.854315, 30.053902, 33.743130, 34.004707, 35.524318, 36.389068, 36.844312, 46.486414, 51.819072, 158.944418], [35.443409, 36.249909, 43.664947, 44.763695, 45.657314, 47.030260, 49.499658, 59.797684, 66.905832, 188.998605], [39.838669, 43.716555, 45.340954, 47.071260, 47.906407, 50.032568, 54.134326, 66.096446, 75.510513, 233.774353], [32.069481, 34.656811, 38.207018, 38.284736, 40.966425, 41.436682, 43.017967, 53.582531, 59.899003, 176.699253], [18.994036, 20.751043, 23.501899, 23.540169, 24.775654, 24.781023, 25.744127, 32.145289, 35.909859, 89.284277]]
### 6
fourier: [[47.758057, 48.101369, 54.410610, 57.803076, 57.820160, 61.866860, 62.558811, 76.976434, 91.716107, 210.804487], [70.939779, 71.998779, 78.949206, 84.980048, 86.131004, 90.666588, 92.840127, 115.994726, 135.276744, 356.344960], [55.012293, 55.275628, 62.504523, 66.679195, 66.750864, 71.429032, 72.411142, 89.488865, 104.940508, 265.839557], [47.441511, 48.675422, 56.040766, 58.722844, 59.249843, 62.245932, 65.933754, 78.972109, 92.564012, 203.509529], [51.842862, 52.345212, 59.229847, 63.328209, 63.405365, 67.412908, 69.049674, 84.936177, 99.983609, 246.114681], [67.423770, 68.524369, 78.427035, 82.745482, 83.373260, 87.849333, 91.012995, 110.753571, 130.486896, 336.790637], [68.991194, 69.599293, 76.874390, 82.860873, 83.564615, 88.457149, 89.672648, 111.802738, 131.814871, 339.807977], [50.139624, 51.867715, 59.925093, 62.335029, 63.479859, 65.639011, 70.268619, 82.943940, 98.734339, 238.511393]]
### 8
fourier: [[190.462084, 190.666318, 207.985929, 225.129495, 227.005463, 239.843848, 244.016839, 304.680660, 365.722447, 972.984330]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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## Activation Signature
### 0
fourier: [[19.344320, 19.518456, 20.383326, 22.182929, 23.490746, 23.572620, 26.075445, 31.174302, 31.190117, 33.608156], [22.020696, 23.716159, 24.229100, 26.133112, 30.744501, 35.391258, 37.135248, 38.794612, 39.560317, 174.051572], [13.352461, 13.437964, 14.287243, 16.218042, 16.218496, 16.843451, 17.480732, 19.125600, 20.181331, 22.747832], [24.362048, 26.358345, 27.027305, 27.353979, 27.430826, 27.580286, 32.554636, 33.501239, 36.842590, 209.632865], [17.116443, 17.483632, 17.550556, 19.691758, 23.517497, 26.728162, 27.090794, 28.573114, 31.428637, 82.501295], [11.603461, 11.931457, 12.347545, 13.024031, 13.509289, 14.226699, 15.335908, 16.660504, 18.384229, 23.676530], [28.297387, 29.735327, 31.474187, 32.013595, 32.533206, 34.367189, 35.015629, 36.924212, 40.953425, 211.643803], [20.057097, 20.303121, 21.870400, 22.419257, 25.101025, 26.169726, 28.849784, 35.499784, 40.982346, 189.376491]]
### 2
fourier: [[17.643070, 17.991367, 18.267530, 18.395618, 21.525578, 23.005407, 26.461475, 27.729162, 31.164437, 184.663598], [15.414855, 17.978309, 18.293937, 19.943035, 20.157745, 20.630068, 22.481137, 26.885689, 29.159839, 110.216847], [23.353012, 23.403591, 25.351143, 27.302187, 28.201814, 28.611803, 28.955235, 37.539128, 43.296474, 138.800114], [13.567318, 14.570894, 15.713949, 16.306972, 16.557751, 19.120369, 20.787880, 23.562437, 24.703318, 102.853150], [4.719168, 4.763105, 4.962135, 5.053122, 5.185482, 5.608697, 6.641079, 6.911749, 7.328133, 8.774933], [12.312996, 12.608674, 12.795601, 13.475821, 13.613796, 14.476533, 14.899306, 15.319930, 20.148397, 88.567746], [8.114827, 8.187459, 8.663104, 8.682576, 8.817612, 9.135438, 10.002553, 10.027219, 10.835910, 13.957183], [18.450595, 19.152384, 19.589894, 22.153797, 22.416778, 22.451648, 22.517729, 30.960331, 35.503427, 116.315101]]
### 4
fourier: [[15.069090, 15.851131, 19.320770, 19.617831, 20.092273, 20.553377, 21.835740, 25.350451, 27.771214, 67.906135], [6.933131, 7.228973, 8.937363, 9.776175, 9.881029, 10.764640, 11.450727, 12.311215, 12.556944, 82.552190], [11.091548, 11.207989, 11.309541, 11.887765, 12.016587, 12.643473, 12.996538, 13.444988, 18.018087, 85.101902], [27.854315, 30.053902, 33.743130, 34.004707, 35.524318, 36.389068, 36.844312, 46.486414, 51.819072, 158.944418], [35.443409, 36.249909, 43.664947, 44.763695, 45.657314, 47.030260, 49.499658, 59.797684, 66.905832, 188.998605], [39.838669, 43.716555, 45.340954, 47.071260, 47.906407, 50.032568, 54.134326, 66.096446, 75.510513, 233.774353], [32.069481, 34.656811, 38.207018, 38.284736, 40.966425, 41.436682, 43.017967, 53.582531, 59.899003, 176.699253], [18.994036, 20.751043, 23.501899, 23.540169, 24.775654, 24.781023, 25.744127, 32.145289, 35.909859, 89.284277]]
### 6
fourier: [[47.758057, 48.101369, 54.410610, 57.803076, 57.820160, 61.866860, 62.558811, 76.976434, 91.716107, 210.804487], [70.939779, 71.998779, 78.949206, 84.980048, 86.131004, 90.666588, 92.840127, 115.994726, 135.276744, 356.344960], [55.012293, 55.275628, 62.504523, 66.679195, 66.750864, 71.429032, 72.411142, 89.488865, 104.940508, 265.839557], [47.441511, 48.675422, 56.040766, 58.722844, 59.249843, 62.245932, 65.933754, 78.972109, 92.564012, 203.509529], [51.842862, 52.345212, 59.229847, 63.328209, 63.405365, 67.412908, 69.049674, 84.936177, 99.983609, 246.114681], [67.423770, 68.524369, 78.427035, 82.745482, 83.373260, 87.849333, 91.012995, 110.753571, 130.486896, 336.790637], [68.991194, 69.599293, 76.874390, 82.860873, 83.564615, 88.457149, 89.672648, 111.802738, 131.814871, 339.807977], [50.139624, 51.867715, 59.925093, 62.335029, 63.479859, 65.639011, 70.268619, 82.943940, 98.734339, 238.511393]]
### 8
fourier: [[190.462084, 190.666318, 207.985929, 225.129495, 227.005463, 239.843848, 244.016839, 304.680660, 365.722447, 972.984330]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.129952, -0.021341, 0.480558, 0.218279, -0.826217], [0.193969, 0.224605, 0.379926, -0.113276, 0.759297], [-0.372033, 0.465226, 0.173635, -0.016635, -0.30839], [-0.622189, -0.413277, -0.111098, -0.280835, 0.202689], [0.001045, 0.45918, -0.574845, -0.252866, -0.254353], [-0.278436, 0.266419, 0.153865, -0.139563, -0.327946], [-0.77901, -0.537942, 0.07094, -0.120169, -0.170764], [0.172135, 0.053879, 0.021422, 0.070063, 0.86887]], "network.0.bias": [0.094245, -0.203933, -0.459554, -0.217567, 0.302037, -0.019703, -0.081795, 0.525191], "network.2.weight": [[0.133566, 0.345779, -0.07694, -0.6075, -0.017083, 0.080187, -0.186081, 0.453933], [-0.188493, 0.363312, -0.368592, -0.046249, -0.150684, -0.023508, 0.049342, 0.262177], [-0.465058, 0.385374, 0.05709, -0.70066, -0.36783, -0.31951, -0.472991, 0.498498], [0.062331, 0.345504, -0.518812, -0.060921, 0.27908, 0.035657, 0.25714, 0.253226], [-0.112639, 0.039256, 0.52333, 0.080709, 0.152327, 0.034937, 0.121327, -0.03804], [0.701931, -0.184312, 0.446023, 0.298722, 0.464505, 0.301201, -0.272966, 0.189463], [0.173016, -0.312497, -0.564069, -0.192842, -0.389588, -0.241998, -0.003057, 0.109851], [-0.262423, 0.29407, -0.07657, -0.149908, 0.105421, -0.028176, -0.677672, 0.47426]], "network.2.bias": [0.342037, 0.259838, 0.132671, 0.048687, 0.033717, 0.236828, 0.367882, -0.065629], "network.4.weight": [[0.037515, 0.341572, 0.097366, -0.109866, -0.52042, -0.264418, -0.559209, 0.284288], [-0.270056, -0.096475, 0.173306, -0.259595, 0.283046, -0.198087, 0.174673, -0.081091], [0.501307, -0.500716, -0.235718, -0.066627, 0.326405, 0.495943, -0.109142, 0.186869], [0.464901, 0.514063, 0.138252, -0.030919, -0.086442, -0.475113, -0.556234, 0.257638], [-0.035115, 0.41928, 0.426959, 0.590903, -0.426295, -0.435838, -0.500662, 0.413453], [0.386571, 0.71768, 0.333257, 0.264762, -0.038801, -0.120085, -0.011591, 0.510523], [0.308152, 0.579186, 0.213825, 0.408947, -0.038938, -0.383961, -0.397136, 0.19457], [0.247071, 0.463571, -0.019269, -0.116347, -0.248153, -0.24764, -0.511692, 0.375276]], "network.4.bias": [0.245818, -0.030671, 0.275781, 0.247783, 0.378699, -0.305164, 0.072181, -0.046415], "network.6.weight": [[0.223761, 0.40897, -0.175002, -0.00277, 0.22639, 0.092365, 0.57598, 0.735596], [0.049926, -0.218402, -0.177814, 0.301551, 0.606666, 0.515398, 0.563922, 0.059347], [-0.015418, 0.55857, -0.234032, 0.686141, 0.256527, 0.039619, 0.58461, 0.304306], [-0.062205, -0.227133, 0.37199, -0.451381, -0.380993, -0.062446, -0.389954, -0.260171], [0.304312, -0.197195, -0.253588, 0.164569, 0.531505, 0.232454, 0.321812, 0.212507], [0.371657, -0.205001, -0.413519, 0.510767, 0.471925, 0.241146, 0.316976, 0.562369], [0.482506, 0.196787, -0.139866, 0.157554, 0.605898, 0.453602, 0.468238, 0.137325], [-0.453047, -0.494147, 0.360223, -0.506182, -0.342298, 0.015556, -0.237166, -0.545898]], "network.6.bias": [-0.311383, -0.375192, -0.166637, 0.325749, -0.27508, -0.059475, -0.366054, 0.040449], "network.8.weight": [[-0.444836, -0.603797, -0.415156, 0.468004, -0.447729, -0.595539, -0.615783, 0.346851]], "network.8.bias": [0.095717]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6757409274578094, "train_acc": 0.59, "val_loss": 0.6983697414398193, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6701407730579376, "train_acc": 0.59, "val_loss": 0.6810341477394104, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6182502806186676, "train_acc": 0.59, "val_loss": 0.6637254953384399, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5879923105239868, "train_acc": 0.59, "val_loss": 0.643771767616272, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5719757676124573, "train_acc": 0.505, "val_loss": 0.5272724628448486, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5063818693161011, "train_acc": 0.615, "val_loss": 0.48571357131004333, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.479633629322052, "train_acc": 0.765, "val_loss": 0.44284048676490784, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4267846494913101, "train_acc": 0.82, "val_loss": 0.3667643666267395, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.39670857787132263, "train_acc": 0.845, "val_loss": 0.3244422674179077, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.36324240267276764, "train_acc": 0.845, "val_loss": 0.285935640335083, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3308916389942169, "train_acc": 0.85, "val_loss": 0.24700519442558289, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.29526929557323456, "train_acc": 0.87, "val_loss": 0.20256176590919495, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2806844413280487, "train_acc": 0.87, "val_loss": 0.16898618638515472, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.32894404232501984, "train_acc": 0.875, "val_loss": 0.16448861360549927, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6983697414398193, "final_val_loss": 0.643771767616272, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5272724628448486, "final_val_loss": 0.16448861360549927, "initial_val_acc": 0.48, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.48, "first_improvement_epoch": 3}}
|
208
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.028374230995377545, "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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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[16.014986, 16.621293, 17.933160, 18.524384, 18.753925, 20.145120, 20.838156, 23.508135, 24.318683, 105.655022], [25.372210, 25.537256, 26.158385, 28.139597, 29.676660, 30.701082, 33.597740, 38.004712, 42.127854, 262.764052], [24.503096, 24.610497, 25.433094, 27.132838, 28.036354, 28.215681, 30.542149, 33.540197, 40.179150, 47.454921], [16.150119, 18.090369, 18.928033, 20.376063, 21.865984, 22.024083, 22.087596, 23.927593, 26.107111, 200.489053], [15.706076, 16.275996, 18.352445, 21.121398, 21.885156, 22.192976, 22.438036, 22.728927, 25.887041, 29.888644], [7.266829, 7.856752, 9.012389, 9.069495, 9.272894, 10.460859, 10.880576, 11.087055, 12.890635, 13.142733], [16.623682, 17.103622, 17.787480, 18.193189, 18.505749, 19.006729, 19.558931, 21.772192, 23.458270, 28.974929]]
### 2
fourier: [[8.470924, 8.576567, 9.774346, 10.163147, 10.218424, 10.679508, 10.880574, 11.548716, 15.410750, 66.912071], [8.555049, 8.680109, 8.685019, 9.219645, 10.109857, 10.441299, 12.684278, 12.967869, 14.077110, 15.180922], [12.592360, 14.404776, 14.703753, 14.899973, 16.508226, 16.655393, 17.397607, 17.583355, 17.597998, 22.196370], [13.924839, 16.016853, 17.166544, 18.163777, 19.628282, 19.714030, 19.925826, 21.112667, 25.411220, 32.365786], [11.539020, 11.877600, 14.029698, 14.388264, 14.526024, 15.673615, 16.179961, 16.798765, 18.528907, 20.782929], [8.971568, 9.356413, 10.271166, 10.281999, 11.205584, 11.359213, 12.305628, 13.240809, 15.594778, 56.542404], [16.700859, 18.013627, 18.909777, 19.622894, 19.707907, 21.809723, 21.896350, 23.902048, 34.054884, 74.250977]]
### 4
fourier: [[8.918592, 8.961123, 9.190890, 9.429862, 9.543837, 9.587624, 10.808292, 11.025733, 17.288917, 76.052429], [13.036131, 13.260888, 13.486659, 13.955725, 14.971824, 15.224303, 16.111365, 17.732775, 23.022721, 23.966636], [6.527980, 6.897368, 6.925869, 7.437781, 7.526726, 7.824832, 8.102607, 9.421797, 9.621374, 12.039456], [4.806595, 4.877307, 5.402245, 6.098915, 6.589528, 6.712577, 6.739834, 7.017325, 10.373313, 25.043554], [13.542897, 13.563380, 13.878965, 14.324645, 15.598834, 15.771374, 16.801215, 17.908931, 24.589093, 70.536257], [8.571962, 8.582757, 9.517777, 9.762813, 10.173151, 10.602936, 10.861635, 12.590153, 16.858780, 154.883411], [8.808363, 8.986225, 9.358135, 9.417100, 9.596380, 11.293436, 12.748767, 13.044925, 13.671480, 58.573287]]
### 6
fourier: [[3.423996, 3.570348, 3.750771, 3.956012, 4.185928, 4.415220, 4.461987, 4.572323, 6.789643, 12.968747], [17.259468, 17.760848, 18.528719, 18.586197, 19.723846, 20.478314, 24.080498, 25.620675, 31.014811, 79.213241], [2.798456, 3.082343, 3.087671, 3.165279, 3.312070, 3.675417, 3.976434, 4.720193, 4.987619, 52.225802], [11.807966, 11.846156, 12.429023, 12.529590, 13.352920, 13.512728, 13.782195, 16.475090, 20.134037, 111.144494], [4.883902, 4.913981, 5.082495, 5.102105, 5.180004, 5.193368, 5.858574, 6.072849, 9.526886, 40.674530], [14.797529, 14.952554, 15.438308, 17.392872, 17.472717, 20.024489, 20.397148, 24.121059, 25.105266, 173.658614], [11.917489, 12.797971, 13.287408, 14.428011, 14.810607, 16.269863, 19.570908, 20.128289, 20.724583, 127.858902]]
### 8
fourier: [[17.648124, 18.182270, 19.077695, 19.528679, 20.186658, 21.568746, 25.186187, 27.720586, 31.656617, 84.546291], [19.398326, 20.546357, 20.715298, 23.274385, 23.558150, 27.110791, 30.044053, 33.327442, 33.441029, 258.083169], [4.560648, 4.773841, 4.826320, 4.909894, 5.143398, 6.452333, 6.734324, 7.339980, 8.001591, 95.354659], [21.500040, 21.587696, 22.042111, 22.300802, 22.850598, 28.810114, 30.908441, 33.386341, 33.593279, 153.410105], [11.740704, 11.844935, 11.917499, 12.028251, 12.551850, 14.780225, 17.919145, 17.923584, 18.313942, 44.375096], [1.169407, 1.191159, 1.191741, 1.211941, 1.251724, 1.296045, 1.449705, 1.660657, 2.514004, 32.751109], [12.456308, 12.646169, 12.694595, 13.255896, 13.545703, 14.959615, 18.744662, 18.819424, 20.173418, 61.162141]]
### 10
fourier: [[6.616469, 6.915215, 7.223086, 7.231631, 7.284025, 7.598396, 8.416218, 9.582722, 11.839945, 45.617536], [25.656759, 27.053367, 27.669865, 31.049720, 32.444484, 32.572371, 40.274083, 40.796092, 43.784531, 297.564892], [3.505029, 3.685774, 3.877141, 3.964589, 3.977241, 4.647051, 4.844193, 5.945937, 6.464696, 31.003252], [5.454436, 5.500918, 5.515267, 5.632898, 5.775019, 6.365496, 7.171596, 8.641551, 8.941614, 9.159008], [1.140074, 1.207453, 1.275748, 1.311425, 1.435029, 1.500307, 1.550516, 1.624584, 2.001029, 62.034696], [32.554570, 32.674493, 32.910156, 33.281319, 35.137246, 42.637804, 45.156076, 50.640981, 51.049099, 233.688280], [15.811194, 15.900149, 16.044013, 16.427394, 16.602633, 16.985657, 19.872377, 24.144945, 24.869520, 24.928695]]
### 12
fourier: [[34.190908, 35.286090, 35.408198, 36.907689, 38.288576, 45.669122, 46.169182, 54.821472, 55.610431, 270.711214]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[16.014986, 16.621293, 17.933160, 18.524384, 18.753925, 20.145120, 20.838156, 23.508135, 24.318683, 105.655022], [25.372210, 25.537256, 26.158385, 28.139597, 29.676660, 30.701082, 33.597740, 38.004712, 42.127854, 262.764052], [24.503096, 24.610497, 25.433094, 27.132838, 28.036354, 28.215681, 30.542149, 33.540197, 40.179150, 47.454921], [16.150119, 18.090369, 18.928033, 20.376063, 21.865984, 22.024083, 22.087596, 23.927593, 26.107111, 200.489053], [15.706076, 16.275996, 18.352445, 21.121398, 21.885156, 22.192976, 22.438036, 22.728927, 25.887041, 29.888644], [7.266829, 7.856752, 9.012389, 9.069495, 9.272894, 10.460859, 10.880576, 11.087055, 12.890635, 13.142733], [16.623682, 17.103622, 17.787480, 18.193189, 18.505749, 19.006729, 19.558931, 21.772192, 23.458270, 28.974929]]
### 2
fourier: [[8.470924, 8.576567, 9.774346, 10.163147, 10.218424, 10.679508, 10.880574, 11.548716, 15.410750, 66.912071], [8.555049, 8.680109, 8.685019, 9.219645, 10.109857, 10.441299, 12.684278, 12.967869, 14.077110, 15.180922], [12.592360, 14.404776, 14.703753, 14.899973, 16.508226, 16.655393, 17.397607, 17.583355, 17.597998, 22.196370], [13.924839, 16.016853, 17.166544, 18.163777, 19.628282, 19.714030, 19.925826, 21.112667, 25.411220, 32.365786], [11.539020, 11.877600, 14.029698, 14.388264, 14.526024, 15.673615, 16.179961, 16.798765, 18.528907, 20.782929], [8.971568, 9.356413, 10.271166, 10.281999, 11.205584, 11.359213, 12.305628, 13.240809, 15.594778, 56.542404], [16.700859, 18.013627, 18.909777, 19.622894, 19.707907, 21.809723, 21.896350, 23.902048, 34.054884, 74.250977]]
### 4
fourier: [[8.918592, 8.961123, 9.190890, 9.429862, 9.543837, 9.587624, 10.808292, 11.025733, 17.288917, 76.052429], [13.036131, 13.260888, 13.486659, 13.955725, 14.971824, 15.224303, 16.111365, 17.732775, 23.022721, 23.966636], [6.527980, 6.897368, 6.925869, 7.437781, 7.526726, 7.824832, 8.102607, 9.421797, 9.621374, 12.039456], [4.806595, 4.877307, 5.402245, 6.098915, 6.589528, 6.712577, 6.739834, 7.017325, 10.373313, 25.043554], [13.542897, 13.563380, 13.878965, 14.324645, 15.598834, 15.771374, 16.801215, 17.908931, 24.589093, 70.536257], [8.571962, 8.582757, 9.517777, 9.762813, 10.173151, 10.602936, 10.861635, 12.590153, 16.858780, 154.883411], [8.808363, 8.986225, 9.358135, 9.417100, 9.596380, 11.293436, 12.748767, 13.044925, 13.671480, 58.573287]]
### 6
fourier: [[3.423996, 3.570348, 3.750771, 3.956012, 4.185928, 4.415220, 4.461987, 4.572323, 6.789643, 12.968747], [17.259468, 17.760848, 18.528719, 18.586197, 19.723846, 20.478314, 24.080498, 25.620675, 31.014811, 79.213241], [2.798456, 3.082343, 3.087671, 3.165279, 3.312070, 3.675417, 3.976434, 4.720193, 4.987619, 52.225802], [11.807966, 11.846156, 12.429023, 12.529590, 13.352920, 13.512728, 13.782195, 16.475090, 20.134037, 111.144494], [4.883902, 4.913981, 5.082495, 5.102105, 5.180004, 5.193368, 5.858574, 6.072849, 9.526886, 40.674530], [14.797529, 14.952554, 15.438308, 17.392872, 17.472717, 20.024489, 20.397148, 24.121059, 25.105266, 173.658614], [11.917489, 12.797971, 13.287408, 14.428011, 14.810607, 16.269863, 19.570908, 20.128289, 20.724583, 127.858902]]
### 8
fourier: [[17.648124, 18.182270, 19.077695, 19.528679, 20.186658, 21.568746, 25.186187, 27.720586, 31.656617, 84.546291], [19.398326, 20.546357, 20.715298, 23.274385, 23.558150, 27.110791, 30.044053, 33.327442, 33.441029, 258.083169], [4.560648, 4.773841, 4.826320, 4.909894, 5.143398, 6.452333, 6.734324, 7.339980, 8.001591, 95.354659], [21.500040, 21.587696, 22.042111, 22.300802, 22.850598, 28.810114, 30.908441, 33.386341, 33.593279, 153.410105], [11.740704, 11.844935, 11.917499, 12.028251, 12.551850, 14.780225, 17.919145, 17.923584, 18.313942, 44.375096], [1.169407, 1.191159, 1.191741, 1.211941, 1.251724, 1.296045, 1.449705, 1.660657, 2.514004, 32.751109], [12.456308, 12.646169, 12.694595, 13.255896, 13.545703, 14.959615, 18.744662, 18.819424, 20.173418, 61.162141]]
### 10
fourier: [[6.616469, 6.915215, 7.223086, 7.231631, 7.284025, 7.598396, 8.416218, 9.582722, 11.839945, 45.617536], [25.656759, 27.053367, 27.669865, 31.049720, 32.444484, 32.572371, 40.274083, 40.796092, 43.784531, 297.564892], [3.505029, 3.685774, 3.877141, 3.964589, 3.977241, 4.647051, 4.844193, 5.945937, 6.464696, 31.003252], [5.454436, 5.500918, 5.515267, 5.632898, 5.775019, 6.365496, 7.171596, 8.641551, 8.941614, 9.159008], [1.140074, 1.207453, 1.275748, 1.311425, 1.435029, 1.500307, 1.550516, 1.624584, 2.001029, 62.034696], [32.554570, 32.674493, 32.910156, 33.281319, 35.137246, 42.637804, 45.156076, 50.640981, 51.049099, 233.688280], [15.811194, 15.900149, 16.044013, 16.427394, 16.602633, 16.985657, 19.872377, 24.144945, 24.869520, 24.928695]]
### 12
fourier: [[34.190908, 35.286090, 35.408198, 36.907689, 38.288576, 45.669122, 46.169182, 54.821472, 55.610431, 270.711214]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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|
209
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8277, "learning_rate": 0.024376554321742842, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.19799,
0.050474,
0.068303,
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],
[
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[
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[
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0.371912,
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0.102029
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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": [
0.474619,
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],
"network.4.weight": [
[
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],
[
0.632036,
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0.212183,
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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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0.003122,
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],
[
0.351826,
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0.341178,
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0.541676
],
[
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],
[
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]
],
"network.6.bias": [
0.365119,
0.057322,
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0.005453,
0.386475
],
"network.8.weight": [
[
0.209986,
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0.33779,
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],
[
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0.197362,
0.028034,
0.395427
],
[
-0.373288,
0.404602,
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-0.418053,
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],
[
0.422238,
0.498968,
0.816929,
0.212977,
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],
[
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],
"network.8.bias": [
0.265016,
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"network.10.weight": [
[
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]
],
"network.10.bias": [
0.082631
]
}
## Activation Signature
### 0
fourier: [[22.024537, 22.343482, 22.523546, 23.683824, 26.261730, 27.345829, 29.673239, 30.334167, 30.630056, 41.473298], [23.165254, 23.708780, 23.953447, 26.924342, 27.689963, 28.406485, 29.966886, 33.640195, 43.974317, 112.158255], [17.482911, 17.655031, 18.337568, 18.858005, 19.502291, 21.178836, 21.715738, 25.465007, 25.587470, 196.784108], [10.476570, 10.553769, 10.614840, 10.816528, 11.073957, 11.920632, 13.102797, 14.137395, 18.212262, 46.368180], [17.225749, 18.686909, 19.735968, 20.299891, 20.580074, 21.182767, 21.385785, 24.153541, 28.360387, 87.095234]]
### 2
fourier: [[14.322150, 14.626085, 14.735548, 15.407941, 16.659466, 17.512872, 18.240990, 19.160459, 20.227402, 100.744229], [11.495893, 11.710225, 12.359214, 13.428325, 13.520565, 13.547883, 13.803761, 15.846298, 19.521054, 20.986622], [13.801395, 13.982875, 14.267103, 14.342901, 15.641583, 15.815625, 17.289757, 18.522507, 24.000273, 43.516767], [7.800903, 7.876827, 7.974647, 8.135613, 8.136915, 8.797082, 9.072688, 9.079062, 10.831595, 22.085112], [18.648884, 19.000560, 19.958172, 20.140662, 21.817320, 23.464676, 25.013042, 25.442763, 25.558443, 101.895624]]
### 4
fourier: [[1.442428, 1.463395, 1.484705, 1.488408, 1.513649, 1.677355, 1.818453, 1.891804, 2.352694, 63.082236], [28.796078, 34.701064, 37.551392, 40.384080, 40.465814, 41.634266, 42.769868, 46.158364, 51.714517, 189.338109], [12.107278, 13.363093, 15.120648, 16.626771, 17.201099, 17.215505, 17.484370, 19.163713, 22.115532, 95.406606], [7.482406, 10.053647, 10.726714, 10.858837, 11.279028, 11.429057, 12.443405, 12.503356, 14.946513, 28.341396], [23.956153, 27.014049, 29.532450, 32.388475, 33.010087, 34.796969, 35.118201, 38.828394, 42.634619, 167.716305]]
### 6
fourier: [[18.491891, 20.999619, 23.091618, 25.119767, 25.466746, 26.948581, 27.065252, 29.874264, 32.930257, 161.770608], [26.229195, 31.104702, 33.766510, 36.463766, 36.666436, 38.030213, 38.717537, 42.167574, 46.988849, 180.315318], [36.295826, 43.238273, 46.138544, 50.469140, 51.117491, 52.579547, 53.484467, 58.617604, 65.093403, 235.276786], [29.818083, 35.327311, 37.344643, 41.278106, 42.085073, 43.261823, 43.772046, 48.360927, 53.458846, 198.163673], [11.898838, 14.553198, 15.618650, 16.813907, 16.823421, 17.115350, 17.732968, 19.058786, 21.402284, 41.899366]]
### 8
fourier: [[15.143944, 17.210657, 19.261526, 20.652197, 20.667889, 22.033966, 22.157235, 24.461769, 26.916088, 138.810779], [8.074261, 9.678876, 9.857532, 10.978401, 11.172539, 11.349614, 11.681027, 12.472761, 14.099375, 98.348466], [21.305632, 24.598990, 26.648483, 29.184441, 29.543521, 31.005341, 31.026628, 34.601016, 37.976111, 175.077094], [57.171035, 68.095891, 72.314062, 79.381951, 80.666814, 82.646324, 84.208645, 92.347714, 102.481591, 363.733782], [39.101790, 46.831164, 49.283728, 54.359715, 55.357636, 56.328104, 57.551609, 63.149899, 70.054515, 243.599591]]
### 10
fourier: [[65.882468, 78.427166, 83.706748, 91.497192, 92.555065, 95.502839, 96.859465, 106.808906, 118.103710, 401.707250]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.650373,
0.19799,
0.050474,
0.068303,
-0.672179
],
[
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0.275167
],
[
0.031261,
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],
[
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0.371912,
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0.102029
],
[
-0.490656,
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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.4.bias": [
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],
"network.6.weight": [
[
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],
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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[
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[
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0.212977,
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[
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],
"network.8.bias": [
0.265016,
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[22.024537, 22.343482, 22.523546, 23.683824, 26.261730, 27.345829, 29.673239, 30.334167, 30.630056, 41.473298], [23.165254, 23.708780, 23.953447, 26.924342, 27.689963, 28.406485, 29.966886, 33.640195, 43.974317, 112.158255], [17.482911, 17.655031, 18.337568, 18.858005, 19.502291, 21.178836, 21.715738, 25.465007, 25.587470, 196.784108], [10.476570, 10.553769, 10.614840, 10.816528, 11.073957, 11.920632, 13.102797, 14.137395, 18.212262, 46.368180], [17.225749, 18.686909, 19.735968, 20.299891, 20.580074, 21.182767, 21.385785, 24.153541, 28.360387, 87.095234]]
### 2
fourier: [[14.322150, 14.626085, 14.735548, 15.407941, 16.659466, 17.512872, 18.240990, 19.160459, 20.227402, 100.744229], [11.495893, 11.710225, 12.359214, 13.428325, 13.520565, 13.547883, 13.803761, 15.846298, 19.521054, 20.986622], [13.801395, 13.982875, 14.267103, 14.342901, 15.641583, 15.815625, 17.289757, 18.522507, 24.000273, 43.516767], [7.800903, 7.876827, 7.974647, 8.135613, 8.136915, 8.797082, 9.072688, 9.079062, 10.831595, 22.085112], [18.648884, 19.000560, 19.958172, 20.140662, 21.817320, 23.464676, 25.013042, 25.442763, 25.558443, 101.895624]]
### 4
fourier: [[1.442428, 1.463395, 1.484705, 1.488408, 1.513649, 1.677355, 1.818453, 1.891804, 2.352694, 63.082236], [28.796078, 34.701064, 37.551392, 40.384080, 40.465814, 41.634266, 42.769868, 46.158364, 51.714517, 189.338109], [12.107278, 13.363093, 15.120648, 16.626771, 17.201099, 17.215505, 17.484370, 19.163713, 22.115532, 95.406606], [7.482406, 10.053647, 10.726714, 10.858837, 11.279028, 11.429057, 12.443405, 12.503356, 14.946513, 28.341396], [23.956153, 27.014049, 29.532450, 32.388475, 33.010087, 34.796969, 35.118201, 38.828394, 42.634619, 167.716305]]
### 6
fourier: [[18.491891, 20.999619, 23.091618, 25.119767, 25.466746, 26.948581, 27.065252, 29.874264, 32.930257, 161.770608], [26.229195, 31.104702, 33.766510, 36.463766, 36.666436, 38.030213, 38.717537, 42.167574, 46.988849, 180.315318], [36.295826, 43.238273, 46.138544, 50.469140, 51.117491, 52.579547, 53.484467, 58.617604, 65.093403, 235.276786], [29.818083, 35.327311, 37.344643, 41.278106, 42.085073, 43.261823, 43.772046, 48.360927, 53.458846, 198.163673], [11.898838, 14.553198, 15.618650, 16.813907, 16.823421, 17.115350, 17.732968, 19.058786, 21.402284, 41.899366]]
### 8
fourier: [[15.143944, 17.210657, 19.261526, 20.652197, 20.667889, 22.033966, 22.157235, 24.461769, 26.916088, 138.810779], [8.074261, 9.678876, 9.857532, 10.978401, 11.172539, 11.349614, 11.681027, 12.472761, 14.099375, 98.348466], [21.305632, 24.598990, 26.648483, 29.184441, 29.543521, 31.005341, 31.026628, 34.601016, 37.976111, 175.077094], [57.171035, 68.095891, 72.314062, 79.381951, 80.666814, 82.646324, 84.208645, 92.347714, 102.481591, 363.733782], [39.101790, 46.831164, 49.283728, 54.359715, 55.357636, 56.328104, 57.551609, 63.149899, 70.054515, 243.599591]]
### 10
fourier: [[65.882468, 78.427166, 83.706748, 91.497192, 92.555065, 95.502839, 96.859465, 106.808906, 118.103710, 401.707250]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [65.88246829194509, 78.42716610121965, 83.70674788317902, 91.49719203522103, 92.55506497133881, 95.50283909033234, 96.85946502120647, 106.80890596152737, 118.10370982740962, 401.70725025236607]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.650373, 0.19799, 0.050474, 0.068303, -0.672179], [0.80381, -0.337081, 0.093997, -0.041715, 0.275167], [0.031261, -0.436259, -0.191089, -0.298592, -0.160694], [-0.215971, 0.098842, 0.371912, -0.236099, 0.102029], [-0.490656, 0.242096, 0.169147, 0.382439, 0.31243]], "network.0.bias": [-0.132206, 0.413876, -0.192764, 0.207435, -0.421613], "network.2.weight": [[0.490063, 0.310146, -0.109034, -0.245946, -0.039381], [-0.026205, 0.480149, -0.380185, -0.068282, -0.181755], [0.015906, 0.507559, 0.484262, -0.174124, -0.283994], [0.251798, -0.09253, -0.171547, 0.327934, -0.409893], [0.759362, 0.321225, 0.016299, -0.200525, -0.091891]], "network.2.bias": [0.474619, -0.160581, 0.220018, 0.428396, 0.272615], "network.4.weight": [[-0.298091, 0.228359, -0.04744, 0.229621, 0.060279], [0.632036, 0.492497, 0.478135, 0.212183, 0.789007], [-0.176484, -0.350904, -0.207672, -0.408252, -0.246411], [-0.018233, -0.200357, -0.284543, 0.063249, -0.232959], [0.413414, 0.033799, 0.648572, 0.566894, 0.674043]], "network.4.bias": [-0.58892, -0.078653, -0.152903, 0.202872, 0.00174], "network.6.weight": [[0.081428, 0.117771, 0.343842, 0.119411, 0.631886], [-0.064015, 0.694014, 0.318608, 0.003122, 0.260661], [0.351826, 0.803575, 0.341178, -0.571587, 0.541676], [-0.20659, 0.448856, -0.171045, -0.752525, 0.695511], [0.273131, -0.483571, -0.367378, 0.084989, 0.086104]], "network.6.bias": [0.365119, 0.057322, -0.052473, 0.005453, 0.386475], "network.8.weight": [[0.209986, 0.223963, -0.12448, 0.33779, 0.352706], [-0.10258, -0.521955, 0.197362, 0.028034, 0.395427], [-0.373288, 0.404602, -0.348253, -0.418053, -0.211817], [0.422238, 0.498968, 0.816929, 0.212977, -0.473733], [-0.083571, 0.309955, 0.447264, 0.537057, -0.351968]], "network.8.bias": [0.265016, -0.477272, -0.23357, -0.279108, -0.084338], "network.10.weight": [[0.194695, 0.127042, -0.264044, -0.707414, -0.729749]], "network.10.bias": [0.082631]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6761740148067474, "train_acc": 0.585, "val_loss": 0.7038670182228088, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6709254086017609, "train_acc": 0.585, "val_loss": 0.6957342028617859, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6543950438499451, "train_acc": 0.585, "val_loss": 0.6714276075363159, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6303257644176483, "train_acc": 0.585, "val_loss": 0.629717230796814, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6142584979534149, "train_acc": 0.5, "val_loss": 0.5840216279029846, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5749491155147552, "train_acc": 0.5, "val_loss": 0.5492854714393616, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.551207959651947, "train_acc": 0.5, "val_loss": 0.5016122460365295, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5123871266841888, "train_acc": 0.78, "val_loss": 0.4794468581676483, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4712623208761215, "train_acc": 0.835, "val_loss": 0.45015349984169006, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.44677360355854034, "train_acc": 0.83, "val_loss": 0.4487747848033905, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4239218235015869, "train_acc": 0.87, "val_loss": 0.43183985352516174, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3865046799182892, "train_acc": 0.875, "val_loss": 0.36048293113708496, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4194711446762085, "train_acc": 0.845, "val_loss": 0.3483039140701294, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3887198865413666, "train_acc": 0.865, "val_loss": 0.4142303764820099, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7038670182228088, "final_val_loss": 0.629717230796814, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5840216279029846, "final_val_loss": 0.4142303764820099, "initial_val_acc": 0.5, "final_val_acc": 0.82, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.42000000000000004, "first_improvement_epoch": 3}}
|
210
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{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.36, "improved_accuracy": 0.96, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8682, "learning_rate": 0.06610596912797752, "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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## Activation Signature
### 0
fourier: [[18.583408, 19.264840, 19.355659, 19.389157, 20.634481, 24.589445, 25.520411, 26.217985, 33.296867, 196.539157], [24.621436, 24.759359, 25.046063, 25.857656, 27.251303, 27.254863, 27.795602, 29.978528, 30.227506, 38.465789], [22.246191, 22.620140, 23.669308, 23.679185, 25.062908, 25.178347, 25.790373, 31.598297, 35.613719, 290.313336], [36.499989, 38.327654, 38.991850, 42.419676, 43.858465, 44.190014, 49.368391, 52.936412, 53.230475, 221.706214], [19.653800, 22.658216, 22.791197, 23.764026, 25.740767, 25.893304, 28.550771, 33.613313, 40.392912, 128.748581], [37.634432, 38.022144, 38.853232, 39.327655, 42.784953, 43.897666, 45.064012, 49.755195, 52.225200, 306.069903], [29.871371, 30.202754, 32.210046, 33.464521, 33.904270, 34.815762, 37.006521, 37.713682, 45.582874, 124.359204], [18.185879, 18.445033, 19.104034, 20.147195, 22.061977, 25.227493, 25.565472, 31.895991, 32.233542, 218.892060]]
### 2
fourier: [[52.866036, 53.256308, 53.525060, 54.523289, 59.668376, 63.172163, 67.034886, 67.744096, 73.191844, 379.385002], [34.330932, 35.281185, 36.931126, 38.653748, 42.047400, 43.494334, 45.575277, 45.876666, 48.281097, 202.614179], [42.752539, 43.004456, 43.744057, 45.521859, 52.362615, 54.158219, 55.819329, 56.521652, 61.944651, 291.971926], [50.578195, 51.346617, 52.237523, 54.821714, 61.486981, 62.533735, 63.703599, 65.345411, 69.515625, 324.488478], [61.719164, 65.272298, 67.916082, 68.098057, 72.394049, 76.882089, 81.166907, 81.688816, 85.844293, 490.519640], [30.849453, 34.593381, 34.901869, 35.704134, 37.409457, 38.969818, 40.069698, 40.543718, 41.383851, 187.835356], [6.896550, 7.377641, 8.430451, 8.494001, 8.840766, 9.171090, 9.325707, 9.518263, 11.493954, 19.709576], [27.724433, 27.929495, 28.187921, 31.202147, 33.258666, 33.932676, 34.963610, 36.363893, 38.011517, 169.502635]]
### 4
fourier: [[41.881140, 43.469701, 44.777161, 45.726489, 51.095733, 52.130504, 53.341909, 54.165623, 59.626578, 333.481460], [36.737058, 37.802596, 38.547546, 41.173270, 43.300131, 44.166945, 44.912449, 47.782463, 51.532263, 206.868307], [74.308514, 74.389098, 74.852307, 77.267114, 81.495056, 89.623205, 91.507632, 93.283184, 101.938135, 550.441335], [48.043731, 48.797997, 49.680175, 50.838067, 51.901805, 58.328428, 62.536405, 62.588243, 66.551787, 355.475176], [30.251515, 30.575320, 30.804989, 31.617286, 31.874657, 36.215503, 38.598630, 39.399851, 40.665789, 268.073787], [28.174472, 28.319468, 29.075616, 29.559939, 31.062590, 35.066526, 35.290097, 35.353195, 39.440383, 146.386261], [81.171496, 81.362529, 82.372904, 83.443586, 92.199885, 97.284891, 98.466274, 102.016941, 111.650485, 570.481804], [66.173209, 66.812734, 67.075564, 69.298709, 75.222103, 80.414525, 80.625260, 84.180663, 91.387930, 450.311678]]
### 6
fourier: [[26.166634, 26.193200, 27.660674, 28.400152, 30.499798, 31.402331, 32.531252, 34.159483, 36.036053, 178.507643], [161.848201, 164.128111, 167.762361, 173.564366, 180.662618, 199.952141, 205.311987, 212.003577, 222.338659, 1177.377424], [97.453531, 99.851770, 102.184766, 105.478876, 109.288137, 121.323754, 126.271290, 130.066161, 134.616199, 698.028423], [46.844025, 47.813371, 48.424531, 48.764218, 52.969025, 56.622481, 61.008918, 61.654882, 62.742050, 364.886496], [113.345414, 114.234160, 117.253291, 119.386031, 126.929066, 139.872840, 142.703880, 147.342685, 155.208111, 835.708505], [83.045220, 83.791434, 86.648841, 87.637596, 94.382432, 102.951877, 104.052411, 108.593964, 114.117180, 583.571915], [12.496872, 13.093555, 13.267411, 14.099373, 14.684102, 14.704382, 15.844600, 15.973717, 17.825966, 92.589268], [47.343462, 48.045596, 49.710541, 50.040976, 57.345412, 58.050010, 60.681767, 61.532403, 67.516758, 294.308567]]
### 8
fourier: [[14.556796, 14.899398, 15.213341, 15.761084, 16.363350, 18.130076, 19.375176, 19.418325, 19.999568, 141.816814], [146.696210, 149.449550, 153.893550, 158.508351, 163.240812, 182.061873, 189.822252, 195.222659, 202.053317, 1065.510829], [58.105374, 58.772683, 60.720853, 62.256981, 64.625832, 72.068094, 74.722364, 76.855077, 79.738172, 421.581918], [199.233551, 201.284881, 207.392970, 213.277765, 223.094905, 246.961446, 254.236780, 262.989107, 274.113705, 1446.954188], [157.539022, 159.182772, 164.426673, 168.150545, 176.781419, 195.179383, 200.732458, 207.948768, 216.856864, 1119.819496], [73.987394, 75.504931, 77.164545, 77.598262, 85.890987, 91.761436, 93.009968, 96.625484, 103.021875, 533.393994], [25.713876, 26.078534, 26.094082, 26.351513, 28.824150, 30.489444, 33.835432, 33.960305, 34.032942, 194.413910], [15.241309, 15.605082, 15.740088, 16.806910, 17.253435, 18.967009, 19.399077, 20.112149, 21.128750, 129.900584]]
### 10
fourier: [[199.826199, 202.878355, 209.048639, 215.326097, 222.772185, 247.724861, 257.243346, 265.278521, 275.394571, 1442.751186]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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}
## Activation Signature
### 0
fourier: [[18.583408, 19.264840, 19.355659, 19.389157, 20.634481, 24.589445, 25.520411, 26.217985, 33.296867, 196.539157], [24.621436, 24.759359, 25.046063, 25.857656, 27.251303, 27.254863, 27.795602, 29.978528, 30.227506, 38.465789], [22.246191, 22.620140, 23.669308, 23.679185, 25.062908, 25.178347, 25.790373, 31.598297, 35.613719, 290.313336], [36.499989, 38.327654, 38.991850, 42.419676, 43.858465, 44.190014, 49.368391, 52.936412, 53.230475, 221.706214], [19.653800, 22.658216, 22.791197, 23.764026, 25.740767, 25.893304, 28.550771, 33.613313, 40.392912, 128.748581], [37.634432, 38.022144, 38.853232, 39.327655, 42.784953, 43.897666, 45.064012, 49.755195, 52.225200, 306.069903], [29.871371, 30.202754, 32.210046, 33.464521, 33.904270, 34.815762, 37.006521, 37.713682, 45.582874, 124.359204], [18.185879, 18.445033, 19.104034, 20.147195, 22.061977, 25.227493, 25.565472, 31.895991, 32.233542, 218.892060]]
### 2
fourier: [[52.866036, 53.256308, 53.525060, 54.523289, 59.668376, 63.172163, 67.034886, 67.744096, 73.191844, 379.385002], [34.330932, 35.281185, 36.931126, 38.653748, 42.047400, 43.494334, 45.575277, 45.876666, 48.281097, 202.614179], [42.752539, 43.004456, 43.744057, 45.521859, 52.362615, 54.158219, 55.819329, 56.521652, 61.944651, 291.971926], [50.578195, 51.346617, 52.237523, 54.821714, 61.486981, 62.533735, 63.703599, 65.345411, 69.515625, 324.488478], [61.719164, 65.272298, 67.916082, 68.098057, 72.394049, 76.882089, 81.166907, 81.688816, 85.844293, 490.519640], [30.849453, 34.593381, 34.901869, 35.704134, 37.409457, 38.969818, 40.069698, 40.543718, 41.383851, 187.835356], [6.896550, 7.377641, 8.430451, 8.494001, 8.840766, 9.171090, 9.325707, 9.518263, 11.493954, 19.709576], [27.724433, 27.929495, 28.187921, 31.202147, 33.258666, 33.932676, 34.963610, 36.363893, 38.011517, 169.502635]]
### 4
fourier: [[41.881140, 43.469701, 44.777161, 45.726489, 51.095733, 52.130504, 53.341909, 54.165623, 59.626578, 333.481460], [36.737058, 37.802596, 38.547546, 41.173270, 43.300131, 44.166945, 44.912449, 47.782463, 51.532263, 206.868307], [74.308514, 74.389098, 74.852307, 77.267114, 81.495056, 89.623205, 91.507632, 93.283184, 101.938135, 550.441335], [48.043731, 48.797997, 49.680175, 50.838067, 51.901805, 58.328428, 62.536405, 62.588243, 66.551787, 355.475176], [30.251515, 30.575320, 30.804989, 31.617286, 31.874657, 36.215503, 38.598630, 39.399851, 40.665789, 268.073787], [28.174472, 28.319468, 29.075616, 29.559939, 31.062590, 35.066526, 35.290097, 35.353195, 39.440383, 146.386261], [81.171496, 81.362529, 82.372904, 83.443586, 92.199885, 97.284891, 98.466274, 102.016941, 111.650485, 570.481804], [66.173209, 66.812734, 67.075564, 69.298709, 75.222103, 80.414525, 80.625260, 84.180663, 91.387930, 450.311678]]
### 6
fourier: [[26.166634, 26.193200, 27.660674, 28.400152, 30.499798, 31.402331, 32.531252, 34.159483, 36.036053, 178.507643], [161.848201, 164.128111, 167.762361, 173.564366, 180.662618, 199.952141, 205.311987, 212.003577, 222.338659, 1177.377424], [97.453531, 99.851770, 102.184766, 105.478876, 109.288137, 121.323754, 126.271290, 130.066161, 134.616199, 698.028423], [46.844025, 47.813371, 48.424531, 48.764218, 52.969025, 56.622481, 61.008918, 61.654882, 62.742050, 364.886496], [113.345414, 114.234160, 117.253291, 119.386031, 126.929066, 139.872840, 142.703880, 147.342685, 155.208111, 835.708505], [83.045220, 83.791434, 86.648841, 87.637596, 94.382432, 102.951877, 104.052411, 108.593964, 114.117180, 583.571915], [12.496872, 13.093555, 13.267411, 14.099373, 14.684102, 14.704382, 15.844600, 15.973717, 17.825966, 92.589268], [47.343462, 48.045596, 49.710541, 50.040976, 57.345412, 58.050010, 60.681767, 61.532403, 67.516758, 294.308567]]
### 8
fourier: [[14.556796, 14.899398, 15.213341, 15.761084, 16.363350, 18.130076, 19.375176, 19.418325, 19.999568, 141.816814], [146.696210, 149.449550, 153.893550, 158.508351, 163.240812, 182.061873, 189.822252, 195.222659, 202.053317, 1065.510829], [58.105374, 58.772683, 60.720853, 62.256981, 64.625832, 72.068094, 74.722364, 76.855077, 79.738172, 421.581918], [199.233551, 201.284881, 207.392970, 213.277765, 223.094905, 246.961446, 254.236780, 262.989107, 274.113705, 1446.954188], [157.539022, 159.182772, 164.426673, 168.150545, 176.781419, 195.179383, 200.732458, 207.948768, 216.856864, 1119.819496], [73.987394, 75.504931, 77.164545, 77.598262, 85.890987, 91.761436, 93.009968, 96.625484, 103.021875, 533.393994], [25.713876, 26.078534, 26.094082, 26.351513, 28.824150, 30.489444, 33.835432, 33.960305, 34.032942, 194.413910], [15.241309, 15.605082, 15.740088, 16.806910, 17.253435, 18.967009, 19.399077, 20.112149, 21.128750, 129.900584]]
### 10
fourier: [[199.826199, 202.878355, 209.048639, 215.326097, 222.772185, 247.724861, 257.243346, 265.278521, 275.394571, 1442.751186]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.13543, -0.258771, 0.050562, -0.626808, -0.057536], [-0.715993, -0.162535, -0.118152, 0.276228, 0.556864], [-0.222392, -0.591407, -0.068141, -0.19983, -0.367797], [0.932026, 0.566961, 0.385534, 0.2286, -0.638515], [0.413524, 0.548601, -0.22173, 0.269753, -0.403334], [0.609423, 0.935068, 0.375906, 0.018127, 0.072349], [0.251708, 0.787283, 0.50367, -0.55787, -0.089314], [-0.260119, -0.33657, -0.10728, -0.440161, -0.18072]], "network.0.bias": [-0.234199, 0.177158, -0.846796, -0.237639, 0.298404, 0.025152, -0.111707, -0.10424], "network.2.weight": [[-0.284504, -0.073655, 0.195995, 0.570558, 0.751186, 0.408144, 0.13159, -0.036058], [0.37568, 0.489161, -0.382148, -0.151067, -0.485353, -0.341518, -0.29466, 0.077636], [-0.409344, 0.011247, 0.011231, 0.58705, 0.711842, 0.269005, -0.026806, 0.083224], [0.41856, 0.702441, -0.217123, -0.061918, -0.667978, -0.677128, -0.379383, 0.129255], [-0.013481, -0.258134, 0.443554, 0.346392, 0.649257, 0.677049, 0.639302, -0.094236], [-0.315666, 0.236212, -0.074511, -0.299918, -0.081028, -0.309043, -0.324552, 0.16157], [0.210824, -0.161912, 0.570437, -0.247077, 0.334678, 0.304933, -0.173987, 0.200782], [-0.068919, -0.373957, -0.035361, 0.444024, 0.467862, 0.105129, -0.151303, -0.238591]], "network.2.bias": [-0.031928, 0.232086, -0.302988, 0.067467, 0.311749, 0.267284, -0.28908, 0.130101], "network.4.weight": [[0.190607, -0.206135, 0.014347, -0.659454, 0.468532, 0.003146, -0.220895, 0.088768], [0.222538, -0.343039, 0.330599, -0.212389, 0.016464, -0.145871, -0.442041, 0.413255], [0.506512, -0.326833, 0.286493, -0.380862, 0.508073, 0.329491, 0.275157, -0.003938], [-0.341325, -0.329034, -0.090724, 0.041191, -0.333811, 0.231818, -0.327882, -0.1524], [-0.188152, -0.204061, -0.080314, 0.091877, -0.311972, -0.429018, -0.214824, 0.131133], [-0.234017, 0.465182, 0.022228, 0.491107, -0.1562, 0.217507, 0.322064, -0.238179], [0.295287, -0.49579, 0.316851, -0.575372, 0.598451, -0.36204, -0.030174, 0.408283], [0.012337, -0.380015, 0.315518, -0.336439, 0.545497, -0.310648, 0.117012, 0.555808]], "network.4.bias": [0.290165, -0.404411, 0.247398, 0.037908, -0.361032, 0.37913, 0.146255, -0.087081], "network.6.weight": [[-0.243049, -0.413528, 0.192547, -0.223986, -0.240203, 0.396699, -0.218559, 0.041603], [0.434052, 0.485169, 0.785891, -0.281532, 0.346933, -0.384475, 0.559277, 0.393216], [0.227213, 0.068325, 0.134644, -0.102449, 0.133349, -0.006211, 0.612695, 0.450722], [-0.027483, -0.361512, -0.283819, -0.164534, -0.281617, -0.404212, -0.099118, -0.086243], [0.443827, 0.247459, 0.715284, 0.007332, 0.418102, -0.346265, 0.464915, -0.051677], [0.486056, 0.306246, 0.193514, 0.129678, 0.104923, -0.452134, 0.368588, 0.124243], [0.007304, -0.255924, -0.107793, -0.352302, 0.050368, 0.276995, -0.047617, 0.128607], [-0.300341, 0.023885, -0.393328, -0.039224, 0.081087, 0.767511, 0.045571, -0.145294]], "network.6.bias": [-0.121509, -0.076212, -0.31166, -0.18978, -0.042537, -0.197224, -0.165471, 0.533172], "network.8.weight": [[-0.166082, -0.179015, 0.018194, -0.065521, -0.140892, 0.339217, 0.175344, -0.119992], [0.39354, 0.275182, 0.076384, 0.182733, 0.373416, 0.656421, -0.146529, -0.156572], [0.223374, 0.112172, -0.231477, 0.063603, 0.37641, 0.25084, -0.060853, -0.094282], [-0.1379, 0.615446, 0.670267, 0.16159, 0.276073, 0.027461, 0.255573, -0.553656], [-0.245976, 0.20522, 0.573043, -0.147269, 0.214845, 0.526448, -0.059848, -0.435236], [0.526963, -0.238435, -0.027892, -0.156492, -0.267731, -0.014866, 0.220975, 0.523151], [0.03246, -0.274142, 0.136759, -0.268763, 0.292185, -0.343654, -0.105716, -0.339153], [0.351215, -0.188167, -0.156219, 0.292981, 0.139672, 0.179056, -0.065438, -0.069577]], "network.8.bias": [-0.252531, -0.132033, -0.131956, 0.129076, -0.071085, -0.100874, -0.042769, -0.236053], "network.10.weight": [[-0.11159, -0.323284, -0.32506, -0.471268, -0.256192, 0.35161, 0.33365, 0.031732]], "network.10.bias": [0.105864]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809548735618591, "train_acc": 0.61, "val_loss": 0.7673699855804443, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5933064222335815, "train_acc": 0.61, "val_loss": 0.6812229752540588, "val_acc": 0.36}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5387102663516998, "train_acc": 0.535, "val_loss": 0.5779191255569458, "val_acc": 0.36}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46627645194530487, "train_acc": 0.57, "val_loss": 0.4358009994029999, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4484919309616089, "train_acc": 0.88, "val_loss": 0.28843384981155396, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3032613545656204, "train_acc": 0.9, "val_loss": 0.179779514670372, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3079742193222046, "train_acc": 0.87, "val_loss": 0.17897909879684448, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.27931027114391327, "train_acc": 0.875, "val_loss": 0.1641787886619568, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.207127146422863, "train_acc": 0.915, "val_loss": 0.24066057801246643, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22783193737268448, "train_acc": 0.94, "val_loss": 0.2250799983739853, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20273103564977646, "train_acc": 0.94, "val_loss": 0.17295995354652405, "val_acc": 0.94}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7673699855804443, "final_val_loss": 0.6812229752540588, "initial_val_acc": 0.36, "final_val_acc": 0.36, "best_val_acc": 0.36}, "improved_stage": {"initial_val_loss": 0.5779191255569458, "final_val_loss": 0.17295995354652405, "initial_val_acc": 0.36, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.6, "first_improvement_epoch": 1}}
|
211
|
{"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9534, "learning_rate": 0.030016764136923432, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[21.334264, 21.411615, 22.705065, 23.272771, 23.399226, 24.007540, 26.305667, 29.446265, 32.499298, 39.481322], [20.810219, 21.294061, 22.702366, 22.937138, 23.152120, 24.301971, 24.405277, 24.434169, 25.218108, 32.534251], [18.033845, 18.950572, 19.561521, 20.006575, 21.657672, 22.451433, 23.485645, 26.654535, 27.849510, 35.957205], [15.535449, 15.619770, 15.726665, 17.916543, 18.193354, 19.359585, 19.787828, 19.825599, 20.811890, 53.505289], [21.417354, 21.884675, 21.927644, 23.192265, 24.065365, 24.882063, 26.855949, 27.019506, 28.509774, 134.151505]]
### 2
fourier: [[16.160999, 16.708273, 17.573782, 17.900291, 18.106017, 18.834006, 21.149651, 21.358983, 22.015963, 22.724816], [25.915838, 26.176219, 27.106425, 27.556028, 29.432232, 30.131105, 31.731020, 33.807109, 40.151559, 45.043861], [19.358369, 20.110490, 20.927494, 21.961491, 22.267839, 23.074170, 25.644102, 27.123970, 35.183396, 45.922985], [9.251129, 9.701757, 10.756568, 10.983830, 11.036160, 11.324887, 12.047263, 13.728667, 16.930027, 17.834978], [20.142048, 21.008232, 22.618648, 23.408997, 23.511264, 25.502227, 25.724310, 26.849361, 29.690251, 44.483667]]
### 4
fourier: [[4.884216, 4.926295, 5.619261, 5.754842, 6.131615, 6.137768, 7.728030, 8.943102, 9.248655, 81.787480], [5.458157, 5.898598, 6.204695, 6.716145, 6.959649, 7.233770, 7.524733, 8.062500, 10.692209, 58.816120], [27.177699, 27.733382, 28.270867, 29.082585, 29.910840, 32.880063, 33.511797, 39.605114, 43.367970, 194.440649], [8.813162, 8.822910, 9.392551, 9.609408, 9.902402, 10.138755, 10.267574, 12.546341, 13.059250, 87.799269], [18.650383, 19.101150, 19.767553, 20.425859, 21.009044, 22.034318, 24.101118, 30.343387, 30.820954, 159.406776]]
### 6
fourier: [[12.870664, 12.892397, 13.268654, 13.787891, 14.264163, 15.322218, 16.455380, 20.812858, 20.940619, 90.842063], [10.246258, 10.442679, 10.696380, 11.206004, 11.372144, 12.470042, 12.600917, 14.550792, 16.281368, 57.708623], [14.530972, 14.931783, 15.064255, 15.464142, 15.792971, 17.449897, 18.179135, 22.320106, 23.444955, 110.855226], [4.944736, 5.242949, 5.450339, 5.680873, 5.853553, 6.133356, 6.176775, 6.356825, 7.735371, 26.636980], [24.505463, 24.829352, 25.350203, 26.385418, 26.504401, 29.333889, 30.811862, 38.207062, 39.622141, 181.946986]]
### 8
fourier: [[28.389646, 29.534098, 29.830507, 30.200719, 31.331806, 34.686915, 35.619872, 43.257440, 45.519187, 116.755709]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[21.334264, 21.411615, 22.705065, 23.272771, 23.399226, 24.007540, 26.305667, 29.446265, 32.499298, 39.481322], [20.810219, 21.294061, 22.702366, 22.937138, 23.152120, 24.301971, 24.405277, 24.434169, 25.218108, 32.534251], [18.033845, 18.950572, 19.561521, 20.006575, 21.657672, 22.451433, 23.485645, 26.654535, 27.849510, 35.957205], [15.535449, 15.619770, 15.726665, 17.916543, 18.193354, 19.359585, 19.787828, 19.825599, 20.811890, 53.505289], [21.417354, 21.884675, 21.927644, 23.192265, 24.065365, 24.882063, 26.855949, 27.019506, 28.509774, 134.151505]]
### 2
fourier: [[16.160999, 16.708273, 17.573782, 17.900291, 18.106017, 18.834006, 21.149651, 21.358983, 22.015963, 22.724816], [25.915838, 26.176219, 27.106425, 27.556028, 29.432232, 30.131105, 31.731020, 33.807109, 40.151559, 45.043861], [19.358369, 20.110490, 20.927494, 21.961491, 22.267839, 23.074170, 25.644102, 27.123970, 35.183396, 45.922985], [9.251129, 9.701757, 10.756568, 10.983830, 11.036160, 11.324887, 12.047263, 13.728667, 16.930027, 17.834978], [20.142048, 21.008232, 22.618648, 23.408997, 23.511264, 25.502227, 25.724310, 26.849361, 29.690251, 44.483667]]
### 4
fourier: [[4.884216, 4.926295, 5.619261, 5.754842, 6.131615, 6.137768, 7.728030, 8.943102, 9.248655, 81.787480], [5.458157, 5.898598, 6.204695, 6.716145, 6.959649, 7.233770, 7.524733, 8.062500, 10.692209, 58.816120], [27.177699, 27.733382, 28.270867, 29.082585, 29.910840, 32.880063, 33.511797, 39.605114, 43.367970, 194.440649], [8.813162, 8.822910, 9.392551, 9.609408, 9.902402, 10.138755, 10.267574, 12.546341, 13.059250, 87.799269], [18.650383, 19.101150, 19.767553, 20.425859, 21.009044, 22.034318, 24.101118, 30.343387, 30.820954, 159.406776]]
### 6
fourier: [[12.870664, 12.892397, 13.268654, 13.787891, 14.264163, 15.322218, 16.455380, 20.812858, 20.940619, 90.842063], [10.246258, 10.442679, 10.696380, 11.206004, 11.372144, 12.470042, 12.600917, 14.550792, 16.281368, 57.708623], [14.530972, 14.931783, 15.064255, 15.464142, 15.792971, 17.449897, 18.179135, 22.320106, 23.444955, 110.855226], [4.944736, 5.242949, 5.450339, 5.680873, 5.853553, 6.133356, 6.176775, 6.356825, 7.735371, 26.636980], [24.505463, 24.829352, 25.350203, 26.385418, 26.504401, 29.333889, 30.811862, 38.207062, 39.622141, 181.946986]]
### 8
fourier: [[28.389646, 29.534098, 29.830507, 30.200719, 31.331806, 34.686915, 35.619872, 43.257440, 45.519187, 116.755709]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.616169, 0.356622, -0.604922, 0.052079, -0.034165], [0.496653, -0.124405, -0.002947, -0.540917, 0.294284], [-0.331902, -0.151747, -0.30119, 0.169771, 0.599083], [-0.441408, -0.045249, 0.468826, 0.100769, 0.201127], [-0.514912, -0.034967, 0.373454, 0.458473, 0.344846]], "network.0.bias": [0.216122, 0.240516, -0.183757, -0.217212, 0.006484], "network.2.weight": [[0.617518, 0.167888, 0.474163, -0.087044, -0.530993], [-0.570557, -0.5472, 0.549771, 0.464198, 0.517997], [-0.402733, -0.311642, 0.830322, 0.445074, 0.298628], [-0.183708, -0.19297, 0.410115, 0.035369, 0.228104], [-0.531646, -0.399809, 0.227876, 0.280709, 0.515632]], "network.2.bias": [-0.095736, -0.119708, -0.113774, -0.092512, 0.026069], "network.4.weight": [[-0.552354, -0.362993, -0.115131, 0.241182, 0.137019], [-0.002613, 0.243515, -0.42436, -0.253406, -0.135265], [0.584854, 0.566518, 0.478036, 0.231282, 0.807675], [-0.226048, -0.197313, 0.194696, -0.448267, -0.435345], [0.932365, 0.229967, 0.762489, -0.019712, 0.479884]], "network.4.bias": [-0.435707, -0.30955, 0.080754, -0.277532, 0.06777], "network.6.weight": [[0.151621, -0.123936, 0.103243, -0.088697, 0.542685], [-0.265442, 0.098161, 0.446614, 0.375118, -0.101876], [-0.046785, 0.018573, -0.336578, -0.219717, -0.291795], [0.286612, 0.234553, -0.336523, -0.030469, 0.226494], [0.05504, 0.122152, 0.459586, -0.160109, 0.649277]], "network.6.bias": [-0.174891, -0.143241, 0.012259, 0.621845, -0.12127], "network.8.weight": [[-0.36948, -0.518564, -0.174442, 0.566861, -0.693165]], "network.8.bias": [0.625585]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7260640263557434, "train_acc": 0.445, "val_loss": 0.7248378992080688, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6561794281005859, "train_acc": 0.585, "val_loss": 0.7946332693099976, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6606417000293732, "train_acc": 0.55, "val_loss": 0.7213003635406494, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6337396502494812, "train_acc": 0.585, "val_loss": 0.6761447787284851, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6389427185058594, "train_acc": 0.66, "val_loss": 0.6349862813949585, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.593226969242096, "train_acc": 0.76, "val_loss": 0.5927945375442505, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5305265784263611, "train_acc": 0.75, "val_loss": 0.5042487382888794, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4569067656993866, "train_acc": 0.845, "val_loss": 0.4021206200122833, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.37542177736759186, "train_acc": 0.89, "val_loss": 0.31796255707740784, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3053285628557205, "train_acc": 0.935, "val_loss": 0.2595370411872864, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2520079016685486, "train_acc": 0.945, "val_loss": 0.22320276498794556, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.20702537894248962, "train_acc": 0.96, "val_loss": 0.20142002403736115, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.18242178112268448, "train_acc": 0.96, "val_loss": 0.17699213325977325, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.14820043742656708, "train_acc": 0.975, "val_loss": 0.15982042253017426, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7248378992080688, "final_val_loss": 0.6761447787284851, "initial_val_acc": 0.44, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6349862813949585, "final_val_loss": 0.15982042253017426, "initial_val_acc": 0.68, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.45999999999999996, "first_improvement_epoch": 3}}
|
212
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.64, "improved_accuracy": 0.84, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6583, "learning_rate": 0.031235498013335028, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
"network.12.bias": [
-0.262613
]
}
## Activation Signature
### 0
fourier: [[13.928624, 14.202747, 14.574652, 14.720071, 15.412688, 16.501491, 17.211736, 18.032585, 18.222241, 23.273579], [17.008910, 18.808216, 19.201225, 19.378311, 19.962519, 21.118372, 21.753700, 23.566571, 24.027863, 47.261072], [17.714072, 17.904553, 18.059260, 18.448378, 18.698175, 18.793345, 19.630421, 22.271010, 27.918937, 85.303638], [16.417844, 16.533382, 17.929542, 18.118510, 18.180689, 20.239615, 23.050496, 25.731163, 25.912418, 28.914316], [17.273766, 17.380788, 17.953719, 18.197741, 18.373557, 18.888042, 19.645144, 20.210227, 20.335645, 27.473748]]
### 2
fourier: [[5.982289, 6.328828, 6.502389, 6.581526, 6.823626, 6.843087, 7.418765, 7.870207, 9.088886, 10.742197], [6.689534, 6.957501, 7.074172, 7.549119, 7.727793, 8.409830, 8.702316, 9.248287, 11.819419, 22.452012], [4.194666, 4.549891, 4.932221, 5.599235, 5.919690, 5.947887, 5.995984, 6.057345, 7.415010, 68.717481], [8.103791, 8.216248, 8.240121, 8.948275, 9.468774, 10.544796, 11.273879, 11.458652, 11.646356, 62.522970], [4.887597, 5.151238, 5.232699, 5.307992, 5.395723, 5.630170, 5.795813, 6.316652, 6.388085, 10.533664]]
### 4
fourier: [[5.136677, 5.435386, 5.601815, 6.932896, 7.145893, 7.297323, 7.591197, 7.610744, 8.638792, 12.453928], [6.197157, 6.813672, 7.373693, 7.454136, 7.526289, 7.634895, 8.215595, 8.361296, 8.800300, 49.217957], [6.730736, 6.735641, 6.958502, 7.462448, 8.037649, 8.281413, 8.322594, 10.469665, 10.588762, 47.089829], [7.384908, 7.630826, 7.866102, 7.875864, 8.394647, 8.545667, 8.632238, 9.320644, 10.083563, 33.006324], [3.928977, 4.067741, 4.105025, 4.200970, 4.224139, 4.490980, 4.627331, 5.799079, 6.253661, 48.523287]]
### 6
fourier: [[5.762408, 6.365487, 6.823363, 6.928068, 7.198774, 7.576100, 7.755996, 8.496557, 9.040771, 21.789002], [4.849132, 5.143384, 5.400831, 5.407556, 5.630088, 5.675531, 6.098648, 6.315319, 7.024859, 7.757604], [11.999140, 12.574689, 12.832497, 13.139679, 13.819847, 14.192002, 15.420503, 16.021700, 18.242800, 79.087432], [5.906994, 6.701954, 6.953028, 7.529135, 7.658200, 7.673289, 8.468754, 8.878101, 9.382086, 13.119345], [4.632737, 5.033361, 5.595732, 5.642259, 5.707009, 6.354447, 6.555669, 6.800761, 7.685737, 49.660560]]
### 8
fourier: [[10.554493, 11.728551, 12.006549, 12.097977, 12.222012, 13.623116, 14.192375, 14.769753, 16.504623, 60.192709], [5.134941, 5.185214, 5.245538, 5.439272, 5.768100, 5.881670, 6.385522, 6.913577, 7.575362, 59.158055], [6.068163, 6.085619, 6.097931, 6.327358, 6.476018, 6.953462, 7.381466, 7.418303, 7.999485, 8.586366], [2.191731, 2.205361, 2.294285, 2.322075, 2.357752, 2.670164, 2.676402, 2.989524, 3.146461, 27.663982], [7.944062, 8.312499, 8.797415, 8.979389, 9.091722, 10.136556, 10.165665, 11.368517, 11.456244, 38.746277]]
### 10
fourier: [[6.483774, 6.680474, 6.918838, 7.037747, 7.475083, 7.843905, 7.965695, 9.116268, 9.225566, 12.578753], [9.092130, 9.203436, 9.263970, 9.884379, 10.164490, 11.169278, 11.398215, 12.315983, 13.027838, 33.231723], [9.931339, 10.007372, 10.650213, 10.791845, 10.915737, 12.122765, 12.327821, 13.762105, 13.962665, 16.351400], [4.096676, 4.506621, 4.768087, 4.850822, 5.065619, 5.375157, 5.635122, 5.800018, 6.536876, 28.185578], [7.280311, 7.360866, 7.729639, 8.006492, 8.161724, 9.051466, 9.141513, 10.146851, 10.309049, 17.289091]]
### 12
fourier: [[5.980677, 6.249963, 6.634653, 6.686954, 6.955276, 7.521423, 7.524761, 8.535591, 8.738034, 22.393185]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.136561,
0.265961,
0.198625,
-0.500223,
0.3024
],
[
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-0.18505,
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0.344713
],
[
-0.081088,
0.401331,
-0.479697,
-0.492838,
0.414724
],
[
0.357625,
-2.6e-05,
0.300621,
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0.027782
],
[
0.478094,
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]
],
"network.0.bias": [
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-0.017104,
0.283122
],
"network.2.weight": [
[
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],
[
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-0.244538,
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-0.30656
],
[
0.279763,
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-0.16052,
0.102559,
0.5215
],
[
0.47754,
0.327016,
0.687945,
0.201311,
0.505746
],
[
0.49263,
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]
],
"network.2.bias": [
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0.474029,
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],
"network.4.weight": [
[
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],
[
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0.430242,
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],
[
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0.006332,
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0.522327,
0.402341
],
[
0.531449,
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0.100895
],
[
0.043799,
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]
],
"network.4.bias": [
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-0.170801,
0.11507
],
"network.6.weight": [
[
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],
[
-0.046987,
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],
[
0.305111,
0.691749,
0.56454,
0.26472,
0.457465
],
[
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0.040264,
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],
[
0.225947,
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0.240507,
0.187112
]
],
"network.6.bias": [
0.55385,
0.310864,
0.016726,
0.523589,
0.248552
],
"network.8.weight": [
[
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[
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[
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[
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]
],
"network.8.bias": [
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0.368774
],
"network.10.weight": [
[
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[
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[
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[
0.384998,
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],
[
0.198777,
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]
],
"network.10.bias": [
0.097637,
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0.118813,
-0.006147
],
"network.12.weight": [
[
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0.166027,
-0.292437,
0.118557,
0.374792
]
],
"network.12.bias": [
-0.262613
]
}
## Activation Signature
### 0
fourier: [[13.928624, 14.202747, 14.574652, 14.720071, 15.412688, 16.501491, 17.211736, 18.032585, 18.222241, 23.273579], [17.008910, 18.808216, 19.201225, 19.378311, 19.962519, 21.118372, 21.753700, 23.566571, 24.027863, 47.261072], [17.714072, 17.904553, 18.059260, 18.448378, 18.698175, 18.793345, 19.630421, 22.271010, 27.918937, 85.303638], [16.417844, 16.533382, 17.929542, 18.118510, 18.180689, 20.239615, 23.050496, 25.731163, 25.912418, 28.914316], [17.273766, 17.380788, 17.953719, 18.197741, 18.373557, 18.888042, 19.645144, 20.210227, 20.335645, 27.473748]]
### 2
fourier: [[5.982289, 6.328828, 6.502389, 6.581526, 6.823626, 6.843087, 7.418765, 7.870207, 9.088886, 10.742197], [6.689534, 6.957501, 7.074172, 7.549119, 7.727793, 8.409830, 8.702316, 9.248287, 11.819419, 22.452012], [4.194666, 4.549891, 4.932221, 5.599235, 5.919690, 5.947887, 5.995984, 6.057345, 7.415010, 68.717481], [8.103791, 8.216248, 8.240121, 8.948275, 9.468774, 10.544796, 11.273879, 11.458652, 11.646356, 62.522970], [4.887597, 5.151238, 5.232699, 5.307992, 5.395723, 5.630170, 5.795813, 6.316652, 6.388085, 10.533664]]
### 4
fourier: [[5.136677, 5.435386, 5.601815, 6.932896, 7.145893, 7.297323, 7.591197, 7.610744, 8.638792, 12.453928], [6.197157, 6.813672, 7.373693, 7.454136, 7.526289, 7.634895, 8.215595, 8.361296, 8.800300, 49.217957], [6.730736, 6.735641, 6.958502, 7.462448, 8.037649, 8.281413, 8.322594, 10.469665, 10.588762, 47.089829], [7.384908, 7.630826, 7.866102, 7.875864, 8.394647, 8.545667, 8.632238, 9.320644, 10.083563, 33.006324], [3.928977, 4.067741, 4.105025, 4.200970, 4.224139, 4.490980, 4.627331, 5.799079, 6.253661, 48.523287]]
### 6
fourier: [[5.762408, 6.365487, 6.823363, 6.928068, 7.198774, 7.576100, 7.755996, 8.496557, 9.040771, 21.789002], [4.849132, 5.143384, 5.400831, 5.407556, 5.630088, 5.675531, 6.098648, 6.315319, 7.024859, 7.757604], [11.999140, 12.574689, 12.832497, 13.139679, 13.819847, 14.192002, 15.420503, 16.021700, 18.242800, 79.087432], [5.906994, 6.701954, 6.953028, 7.529135, 7.658200, 7.673289, 8.468754, 8.878101, 9.382086, 13.119345], [4.632737, 5.033361, 5.595732, 5.642259, 5.707009, 6.354447, 6.555669, 6.800761, 7.685737, 49.660560]]
### 8
fourier: [[10.554493, 11.728551, 12.006549, 12.097977, 12.222012, 13.623116, 14.192375, 14.769753, 16.504623, 60.192709], [5.134941, 5.185214, 5.245538, 5.439272, 5.768100, 5.881670, 6.385522, 6.913577, 7.575362, 59.158055], [6.068163, 6.085619, 6.097931, 6.327358, 6.476018, 6.953462, 7.381466, 7.418303, 7.999485, 8.586366], [2.191731, 2.205361, 2.294285, 2.322075, 2.357752, 2.670164, 2.676402, 2.989524, 3.146461, 27.663982], [7.944062, 8.312499, 8.797415, 8.979389, 9.091722, 10.136556, 10.165665, 11.368517, 11.456244, 38.746277]]
### 10
fourier: [[6.483774, 6.680474, 6.918838, 7.037747, 7.475083, 7.843905, 7.965695, 9.116268, 9.225566, 12.578753], [9.092130, 9.203436, 9.263970, 9.884379, 10.164490, 11.169278, 11.398215, 12.315983, 13.027838, 33.231723], [9.931339, 10.007372, 10.650213, 10.791845, 10.915737, 12.122765, 12.327821, 13.762105, 13.962665, 16.351400], [4.096676, 4.506621, 4.768087, 4.850822, 5.065619, 5.375157, 5.635122, 5.800018, 6.536876, 28.185578], [7.280311, 7.360866, 7.729639, 8.006492, 8.161724, 9.051466, 9.141513, 10.146851, 10.309049, 17.289091]]
### 12
fourier: [[5.980677, 6.249963, 6.634653, 6.686954, 6.955276, 7.521423, 7.524761, 8.535591, 8.738034, 22.393185]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.136561, 0.265961, 0.198625, -0.500223, 0.3024], [0.075653, 0.289346, -0.18505, -0.698083, 0.344713], [-0.081088, 0.401331, -0.479697, -0.492838, 0.414724], [0.357625, -2.6e-05, 0.300621, -0.358531, 0.027782], [0.478094, -0.392525, -0.518715, 0.390273, -0.085789]], "network.0.bias": [-0.221104, 0.311882, -0.030816, -0.017104, 0.283122], "network.2.weight": [[-0.333243, 0.263933, 0.152679, -0.200472, 0.534197], [0.110305, -0.133177, -0.244538, -0.503895, -0.30656], [0.279763, -0.054802, -0.16052, 0.102559, 0.5215], [0.47754, 0.327016, 0.687945, 0.201311, 0.505746], [0.49263, -0.428822, -0.395263, 0.163516, 0.12957]], "network.2.bias": [-0.04647, 0.167874, 0.474029, 0.179285, -0.268116], "network.4.weight": [[-0.141607, 0.137785, -0.22285, 0.73002, 0.292091], [0.596185, -0.261949, 0.464229, 0.430242, -0.142149], [0.158982, 0.006332, 0.635633, 0.522327, 0.402341], [0.531449, -0.371851, 0.140351, 0.671504, 0.100895], [0.043799, -0.261927, 0.458382, 0.226017, 0.091935]], "network.4.bias": [-0.136889, -0.053014, -0.187257, -0.170801, 0.11507], "network.6.weight": [[-0.315904, -0.321307, -0.230376, -0.38985, 0.239267], [-0.046987, -0.03017, -0.338177, -0.203854, -0.349863], [0.305111, 0.691749, 0.56454, 0.26472, 0.457465], [-0.470779, -0.162504, 0.040264, -0.473071, -0.271868], [0.225947, -0.196467, 0.476588, 0.240507, 0.187112]], "network.6.bias": [0.55385, 0.310864, 0.016726, 0.523589, 0.248552], "network.8.weight": [[-0.49154, -0.125689, 0.594447, -0.057526, 0.463156], [0.64542, 0.265876, -0.14389, 0.69469, 0.114814], [0.619718, 0.567022, -0.427098, 0.076186, 0.418801], [-0.057313, 0.303837, -0.084187, 0.11245, -0.118624], [-0.631621, -0.251845, 0.153615, -0.737251, 0.50784]], "network.8.bias": [0.126532, 0.450666, -0.091305, -0.204404, 0.368774], "network.10.weight": [[-0.357961, 0.451013, 0.436003, -0.006859, 0.002694], [0.477321, -0.107095, -0.584842, 0.197953, 0.341065], [-0.391788, 0.571168, 0.311428, -0.367729, -0.392333], [0.384998, -0.119142, 0.083292, -0.327443, -0.037235], [0.198777, -0.260153, -0.249274, -0.392007, 0.473032]], "network.10.bias": [0.097637, 0.047753, 0.216415, 0.118813, -0.006147], "network.12.weight": [[-0.377756, 0.166027, -0.292437, 0.118557, 0.374792]], "network.12.bias": [-0.262613]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6817867755889893, "train_acc": 0.58, "val_loss": 0.7171780467033386, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6773134469985962, "train_acc": 0.58, "val_loss": 0.7243282794952393, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6861592829227448, "train_acc": 0.58, "val_loss": 0.7208662629127502, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6740042567253113, "train_acc": 0.58, "val_loss": 0.6943768262863159, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6582097113132477, "train_acc": 0.58, "val_loss": 0.6362906694412231, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.631285160779953, "train_acc": 0.66, "val_loss": 0.49657920002937317, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5525576174259186, "train_acc": 0.74, "val_loss": 0.44173890352249146, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.48973968625068665, "train_acc": 0.76, "val_loss": 0.5453437566757202, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4963587522506714, "train_acc": 0.76, "val_loss": 0.5206734538078308, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.46258002519607544, "train_acc": 0.805, "val_loss": 0.5121414065361023, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 5, "improved_epochs": 5, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7171780467033386, "final_val_loss": 0.6362906694412231, "initial_val_acc": 0.46, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.49657920002937317, "final_val_loss": 0.5121414065361023, "initial_val_acc": 0.84, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 5}, "improvement": 0.19999999999999996, "first_improvement_epoch": 4}}
|
213
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.4, "improved_accuracy": 0.82, "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": 8806, "learning_rate": 0.08105177280787854, "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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0.170522,
-0.196378
]
],
"network.12.bias": [
0.244439
]
}
## Activation Signature
### 0
fourier: [[22.843455, 24.338998, 25.027555, 25.882631, 26.304919, 26.424919, 27.309585, 28.456433, 31.492472, 52.428475], [47.099099, 48.688013, 52.083140, 53.247331, 55.693617, 58.112219, 62.715456, 63.475409, 65.033654, 335.689935], [27.300770, 31.970978, 34.865057, 35.873932, 38.176751, 41.025938, 41.728552, 45.358786, 49.321487, 108.795193], [24.130307, 24.736228, 25.008146, 28.327131, 29.907889, 31.086412, 32.309465, 35.372266, 40.419536, 104.446658], [21.948730, 23.350166, 24.490908, 24.707970, 28.376003, 29.047778, 30.286574, 31.258971, 37.111710, 57.602725], [17.620449, 18.584280, 19.248330, 19.628497, 20.722390, 21.642955, 22.630419, 22.898981, 26.332520, 237.769576], [30.492060, 34.572727, 35.309342, 35.568042, 37.584437, 39.006760, 39.282755, 41.213604, 46.760179, 51.300140]]
### 2
fourier: [[11.792017, 11.971922, 12.411011, 12.641866, 13.387314, 13.871279, 13.976450, 15.196317, 16.330894, 132.609398], [14.942747, 15.154772, 16.387845, 18.073300, 20.892574, 22.226726, 25.254133, 25.429316, 28.244889, 157.551285], [47.330369, 49.906803, 50.510804, 52.173261, 52.778404, 57.584001, 59.506254, 61.551352, 64.277967, 285.603567], [20.855110, 21.208997, 22.166648, 22.277933, 25.140760, 25.719482, 27.307775, 28.314332, 29.285277, 31.028455], [79.620281, 79.869393, 85.299386, 85.765292, 87.191637, 89.282488, 92.081811, 100.874133, 102.730920, 438.701848], [84.279010, 86.094562, 86.896369, 92.185367, 94.219831, 103.113031, 103.965873, 109.649962, 114.326695, 353.101359], [29.314933, 30.875720, 33.207494, 33.745106, 40.065709, 40.655119, 41.949291, 42.219487, 44.012204, 289.347192]]
### 4
fourier: [[43.028364, 43.353963, 48.306811, 50.169429, 51.100334, 52.186554, 55.474409, 56.134084, 57.624649, 112.267939], [127.211583, 129.559327, 134.576675, 141.575627, 148.203052, 150.555677, 155.250572, 160.329795, 161.066609, 646.144549], [79.900330, 82.731776, 86.298990, 86.445472, 87.430144, 90.948744, 96.425480, 97.185829, 100.630375, 474.391419], [99.791452, 103.107723, 105.614243, 108.363115, 109.080406, 114.670689, 117.057531, 119.611856, 126.338230, 566.179659], [21.443645, 22.032009, 22.309756, 23.536599, 24.546999, 25.075753, 27.434936, 28.036474, 28.630746, 30.488590], [131.013463, 133.239835, 137.742684, 145.127643, 145.734299, 149.863393, 154.348671, 155.534924, 166.754049, 755.385560], [72.451304, 76.677523, 77.002407, 78.067076, 79.034065, 83.677420, 86.218597, 88.617763, 91.634200, 412.090080]]
### 6
fourier: [[24.433636, 26.461972, 26.575051, 26.976019, 27.259180, 28.488391, 30.810642, 32.308862, 32.398903, 51.785503], [89.501468, 95.231330, 96.682974, 97.122246, 98.318313, 98.458855, 105.650763, 108.452870, 112.417774, 556.268267], [74.516208, 75.923181, 79.562521, 80.672727, 83.261142, 84.318082, 89.774778, 92.923949, 95.620386, 358.795961], [110.383688, 113.584920, 116.059253, 121.453966, 123.744560, 127.826727, 135.076245, 136.653520, 140.599523, 550.437643], [101.956225, 107.423613, 109.029044, 112.962442, 113.629227, 117.906548, 123.167854, 126.630155, 126.695416, 565.898862], [85.237614, 87.061887, 89.370704, 94.152130, 96.270098, 99.430043, 103.610053, 105.083670, 108.498142, 384.876554], [28.825404, 31.242595, 31.682107, 32.134200, 33.491614, 34.740030, 36.871956, 39.058196, 39.356613, 69.234828]]
### 8
fourier: [[74.608383, 75.395192, 78.236493, 80.973892, 82.634680, 87.791184, 89.026940, 90.068264, 94.193570, 427.023745], [101.547375, 105.868524, 108.342416, 109.996369, 112.149148, 116.865183, 123.035297, 124.154377, 130.366769, 474.147850], [48.568003, 49.400034, 51.428047, 51.655509, 53.648943, 56.515041, 57.447453, 59.460459, 60.256346, 265.504882], [25.034763, 25.435517, 25.667928, 26.258554, 26.652725, 26.835337, 29.880210, 30.465873, 30.851812, 91.848159], [19.540237, 20.145260, 21.532302, 21.771552, 26.372034, 27.982470, 28.461228, 30.643881, 32.101433, 38.490418], [24.276165, 24.321440, 26.420047, 27.032389, 27.670347, 28.095879, 28.894272, 29.961587, 33.417728, 146.988267], [70.038053, 71.745698, 75.249909, 76.307159, 76.527165, 78.830763, 83.979284, 86.236747, 89.765736, 335.847426]]
### 10
fourier: [[89.293027, 95.005639, 95.495096, 97.244535, 99.658241, 100.870886, 109.057457, 110.669627, 110.955324, 520.774374], [77.519508, 80.150433, 82.416335, 83.854420, 86.501997, 90.245678, 95.003805, 95.848382, 96.494713, 374.255345], [26.926518, 27.831285, 28.472372, 29.061574, 29.064928, 31.732527, 32.439309, 34.672966, 35.202608, 124.735664], [10.537138, 10.796308, 10.893417, 11.885266, 13.173052, 14.234442, 14.270465, 15.560229, 15.775056, 24.989374], [38.971827, 39.565341, 41.333947, 42.317905, 42.754400, 43.719461, 44.754591, 47.586990, 48.301989, 305.191292], [21.667275, 22.095699, 23.296346, 24.720537, 25.715835, 26.495518, 29.299537, 30.364133, 31.107466, 61.129105], [53.242397, 54.674460, 55.787976, 57.125415, 57.538654, 59.568933, 63.701778, 64.845532, 66.931082, 248.317766]]
### 12
fourier: [[37.219786, 38.752881, 39.225081, 39.806074, 41.019929, 43.479332, 45.032318, 45.863042, 46.648722, 147.492859]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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}
## Activation Signature
### 0
fourier: [[22.843455, 24.338998, 25.027555, 25.882631, 26.304919, 26.424919, 27.309585, 28.456433, 31.492472, 52.428475], [47.099099, 48.688013, 52.083140, 53.247331, 55.693617, 58.112219, 62.715456, 63.475409, 65.033654, 335.689935], [27.300770, 31.970978, 34.865057, 35.873932, 38.176751, 41.025938, 41.728552, 45.358786, 49.321487, 108.795193], [24.130307, 24.736228, 25.008146, 28.327131, 29.907889, 31.086412, 32.309465, 35.372266, 40.419536, 104.446658], [21.948730, 23.350166, 24.490908, 24.707970, 28.376003, 29.047778, 30.286574, 31.258971, 37.111710, 57.602725], [17.620449, 18.584280, 19.248330, 19.628497, 20.722390, 21.642955, 22.630419, 22.898981, 26.332520, 237.769576], [30.492060, 34.572727, 35.309342, 35.568042, 37.584437, 39.006760, 39.282755, 41.213604, 46.760179, 51.300140]]
### 2
fourier: [[11.792017, 11.971922, 12.411011, 12.641866, 13.387314, 13.871279, 13.976450, 15.196317, 16.330894, 132.609398], [14.942747, 15.154772, 16.387845, 18.073300, 20.892574, 22.226726, 25.254133, 25.429316, 28.244889, 157.551285], [47.330369, 49.906803, 50.510804, 52.173261, 52.778404, 57.584001, 59.506254, 61.551352, 64.277967, 285.603567], [20.855110, 21.208997, 22.166648, 22.277933, 25.140760, 25.719482, 27.307775, 28.314332, 29.285277, 31.028455], [79.620281, 79.869393, 85.299386, 85.765292, 87.191637, 89.282488, 92.081811, 100.874133, 102.730920, 438.701848], [84.279010, 86.094562, 86.896369, 92.185367, 94.219831, 103.113031, 103.965873, 109.649962, 114.326695, 353.101359], [29.314933, 30.875720, 33.207494, 33.745106, 40.065709, 40.655119, 41.949291, 42.219487, 44.012204, 289.347192]]
### 4
fourier: [[43.028364, 43.353963, 48.306811, 50.169429, 51.100334, 52.186554, 55.474409, 56.134084, 57.624649, 112.267939], [127.211583, 129.559327, 134.576675, 141.575627, 148.203052, 150.555677, 155.250572, 160.329795, 161.066609, 646.144549], [79.900330, 82.731776, 86.298990, 86.445472, 87.430144, 90.948744, 96.425480, 97.185829, 100.630375, 474.391419], [99.791452, 103.107723, 105.614243, 108.363115, 109.080406, 114.670689, 117.057531, 119.611856, 126.338230, 566.179659], [21.443645, 22.032009, 22.309756, 23.536599, 24.546999, 25.075753, 27.434936, 28.036474, 28.630746, 30.488590], [131.013463, 133.239835, 137.742684, 145.127643, 145.734299, 149.863393, 154.348671, 155.534924, 166.754049, 755.385560], [72.451304, 76.677523, 77.002407, 78.067076, 79.034065, 83.677420, 86.218597, 88.617763, 91.634200, 412.090080]]
### 6
fourier: [[24.433636, 26.461972, 26.575051, 26.976019, 27.259180, 28.488391, 30.810642, 32.308862, 32.398903, 51.785503], [89.501468, 95.231330, 96.682974, 97.122246, 98.318313, 98.458855, 105.650763, 108.452870, 112.417774, 556.268267], [74.516208, 75.923181, 79.562521, 80.672727, 83.261142, 84.318082, 89.774778, 92.923949, 95.620386, 358.795961], [110.383688, 113.584920, 116.059253, 121.453966, 123.744560, 127.826727, 135.076245, 136.653520, 140.599523, 550.437643], [101.956225, 107.423613, 109.029044, 112.962442, 113.629227, 117.906548, 123.167854, 126.630155, 126.695416, 565.898862], [85.237614, 87.061887, 89.370704, 94.152130, 96.270098, 99.430043, 103.610053, 105.083670, 108.498142, 384.876554], [28.825404, 31.242595, 31.682107, 32.134200, 33.491614, 34.740030, 36.871956, 39.058196, 39.356613, 69.234828]]
### 8
fourier: [[74.608383, 75.395192, 78.236493, 80.973892, 82.634680, 87.791184, 89.026940, 90.068264, 94.193570, 427.023745], [101.547375, 105.868524, 108.342416, 109.996369, 112.149148, 116.865183, 123.035297, 124.154377, 130.366769, 474.147850], [48.568003, 49.400034, 51.428047, 51.655509, 53.648943, 56.515041, 57.447453, 59.460459, 60.256346, 265.504882], [25.034763, 25.435517, 25.667928, 26.258554, 26.652725, 26.835337, 29.880210, 30.465873, 30.851812, 91.848159], [19.540237, 20.145260, 21.532302, 21.771552, 26.372034, 27.982470, 28.461228, 30.643881, 32.101433, 38.490418], [24.276165, 24.321440, 26.420047, 27.032389, 27.670347, 28.095879, 28.894272, 29.961587, 33.417728, 146.988267], [70.038053, 71.745698, 75.249909, 76.307159, 76.527165, 78.830763, 83.979284, 86.236747, 89.765736, 335.847426]]
### 10
fourier: [[89.293027, 95.005639, 95.495096, 97.244535, 99.658241, 100.870886, 109.057457, 110.669627, 110.955324, 520.774374], [77.519508, 80.150433, 82.416335, 83.854420, 86.501997, 90.245678, 95.003805, 95.848382, 96.494713, 374.255345], [26.926518, 27.831285, 28.472372, 29.061574, 29.064928, 31.732527, 32.439309, 34.672966, 35.202608, 124.735664], [10.537138, 10.796308, 10.893417, 11.885266, 13.173052, 14.234442, 14.270465, 15.560229, 15.775056, 24.989374], [38.971827, 39.565341, 41.333947, 42.317905, 42.754400, 43.719461, 44.754591, 47.586990, 48.301989, 305.191292], [21.667275, 22.095699, 23.296346, 24.720537, 25.715835, 26.495518, 29.299537, 30.364133, 31.107466, 61.129105], [53.242397, 54.674460, 55.787976, 57.125415, 57.538654, 59.568933, 63.701778, 64.845532, 66.931082, 248.317766]]
### 12
fourier: [[37.219786, 38.752881, 39.225081, 39.806074, 41.019929, 43.479332, 45.032318, 45.863042, 46.648722, 147.492859]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.7025249600410461, "train_acc": 0.46, "val_loss": 0.8066275119781494, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6793710589408875, "train_acc": 0.59, "val_loss": 0.7188785076141357, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6656239926815033, "train_acc": 0.595, "val_loss": 0.909271240234375, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7136583924293518, "train_acc": 0.51, "val_loss": 0.5771839618682861, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6357149481773376, "train_acc": 0.685, "val_loss": 0.5618606209754944, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6043579876422882, "train_acc": 0.695, "val_loss": 0.526592493057251, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5371190160512924, "train_acc": 0.7, "val_loss": 0.443491667509079, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5416073203086853, "train_acc": 0.72, "val_loss": 0.42132729291915894, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5034037828445435, "train_acc": 0.725, "val_loss": 0.4767017364501953, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4844374358654022, "train_acc": 0.73, "val_loss": 0.4849105179309845, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4784690737724304, "train_acc": 0.725, "val_loss": 0.45216652750968933, "val_acc": 0.8}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.8066275119781494, "final_val_loss": 0.7188785076141357, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.909271240234375, "final_val_loss": 0.45216652750968933, "initial_val_acc": 0.4, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 6}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
214
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9604, "learning_rate": 0.05612756743390501, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[10.490170, 10.863100, 11.263646, 11.490694, 12.780050, 13.205041, 14.163413, 16.342963, 19.244913, 100.527574], [15.345551, 15.617630, 16.321190, 16.588121, 16.596299, 16.900449, 17.407890, 19.069380, 21.253004, 34.948861], [17.070657, 17.226571, 17.760608, 17.827369, 19.678999, 20.319495, 22.297476, 24.255170, 25.789811, 163.020720], [14.036468, 15.604346, 15.654099, 16.049940, 16.360823, 16.679624, 19.005087, 19.045259, 22.273471, 117.580394], [21.534670, 21.956055, 22.559786, 23.377139, 26.227538, 27.541213, 27.896231, 30.156163, 31.312402, 32.887120]]
### 2
fourier: [[12.548368, 13.057024, 14.233915, 14.323941, 14.917175, 15.656463, 17.042345, 17.311284, 18.364457, 22.395538], [7.155697, 7.307481, 7.568717, 7.645496, 8.265281, 8.849282, 8.908013, 9.027944, 10.208462, 90.406880], [7.614116, 8.058702, 8.206771, 8.989135, 9.551898, 9.919750, 10.521764, 11.192173, 14.993576, 42.530016], [2.761633, 2.786896, 2.905040, 3.116256, 3.162437, 3.198272, 3.259308, 3.601233, 3.733988, 44.251063], [5.957738, 6.151015, 6.757598, 6.915849, 7.315794, 7.732900, 8.070137, 8.253275, 9.641957, 35.771737]]
### 4
fourier: [[7.273143, 7.527626, 8.021538, 8.169934, 9.029435, 10.000891, 11.675130, 11.866104, 14.670022, 38.335740], [8.341705, 8.677856, 9.186743, 9.432997, 10.959325, 11.071225, 11.248543, 12.385781, 13.218434, 113.885318], [5.721464, 5.790645, 6.011455, 6.611781, 6.967134, 6.978739, 7.980093, 8.375193, 10.204661, 24.162771], [4.893759, 5.425179, 5.493519, 5.565236, 5.617120, 6.511181, 6.781516, 8.061623, 8.103222, 10.156139], [3.687485, 3.734082, 3.824385, 4.303456, 4.801725, 5.404429, 5.454174, 5.770028, 6.630149, 42.307725]]
### 6
fourier: [[2.759888, 2.904284, 2.947565, 3.419515, 3.434734, 3.715263, 3.930996, 4.459498, 5.389407, 108.587516], [5.330829, 5.394647, 6.030332, 6.077662, 6.729571, 6.869875, 7.031988, 7.437827, 9.147794, 90.843930], [7.629880, 7.711463, 7.786480, 7.849923, 7.884690, 8.727789, 10.158730, 11.531799, 11.629397, 14.438333], [6.379470, 6.388933, 6.464724, 7.342560, 7.516458, 7.700448, 8.400094, 8.764623, 10.932419, 91.500732], [13.168464, 14.170438, 14.206009, 15.966037, 16.081764, 16.148317, 18.126962, 19.494036, 23.834470, 70.790544]]
### 8
fourier: [[8.525064, 9.043410, 9.247468, 9.356999, 9.818241, 11.464753, 12.577128, 13.106533, 16.137014, 120.161298], [8.267136, 8.416940, 8.432375, 8.462791, 8.761894, 9.424575, 10.935397, 11.838852, 12.018360, 14.913664], [7.286166, 7.426877, 7.596792, 8.248252, 8.531063, 9.223368, 9.982468, 10.968758, 13.171926, 134.569439], [5.731055, 5.981762, 6.246834, 6.915515, 6.940733, 7.060938, 7.751693, 8.521129, 10.313589, 67.500226], [8.446936, 8.577816, 8.640886, 8.884687, 9.186401, 11.158419, 12.106062, 12.738643, 15.515794, 47.969228]]
### 10
fourier: [[9.385767, 9.545791, 9.780133, 10.027449, 10.637087, 12.784943, 13.485480, 14.919845, 17.700987, 96.315996], [12.537795, 12.817377, 13.352357, 13.571472, 14.514507, 17.179681, 18.080725, 20.200547, 23.846316, 204.670837], [8.859018, 8.937473, 9.068942, 9.109117, 9.268754, 11.868272, 12.654831, 13.495426, 16.301650, 126.786817], [1.496517, 1.505140, 1.515102, 1.585943, 1.728836, 2.042441, 2.156769, 2.226747, 2.754113, 33.002600], [5.569484, 5.667648, 5.909897, 6.006277, 6.428313, 7.629280, 8.006957, 8.987607, 10.578237, 86.657665]]
### 12
fourier: [[9.581634, 10.087199, 10.100320, 10.464716, 10.470243, 13.499736, 13.752854, 15.789654, 18.245209, 151.426859]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.45956,
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-0.405834,
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}
## Activation Signature
### 0
fourier: [[10.490170, 10.863100, 11.263646, 11.490694, 12.780050, 13.205041, 14.163413, 16.342963, 19.244913, 100.527574], [15.345551, 15.617630, 16.321190, 16.588121, 16.596299, 16.900449, 17.407890, 19.069380, 21.253004, 34.948861], [17.070657, 17.226571, 17.760608, 17.827369, 19.678999, 20.319495, 22.297476, 24.255170, 25.789811, 163.020720], [14.036468, 15.604346, 15.654099, 16.049940, 16.360823, 16.679624, 19.005087, 19.045259, 22.273471, 117.580394], [21.534670, 21.956055, 22.559786, 23.377139, 26.227538, 27.541213, 27.896231, 30.156163, 31.312402, 32.887120]]
### 2
fourier: [[12.548368, 13.057024, 14.233915, 14.323941, 14.917175, 15.656463, 17.042345, 17.311284, 18.364457, 22.395538], [7.155697, 7.307481, 7.568717, 7.645496, 8.265281, 8.849282, 8.908013, 9.027944, 10.208462, 90.406880], [7.614116, 8.058702, 8.206771, 8.989135, 9.551898, 9.919750, 10.521764, 11.192173, 14.993576, 42.530016], [2.761633, 2.786896, 2.905040, 3.116256, 3.162437, 3.198272, 3.259308, 3.601233, 3.733988, 44.251063], [5.957738, 6.151015, 6.757598, 6.915849, 7.315794, 7.732900, 8.070137, 8.253275, 9.641957, 35.771737]]
### 4
fourier: [[7.273143, 7.527626, 8.021538, 8.169934, 9.029435, 10.000891, 11.675130, 11.866104, 14.670022, 38.335740], [8.341705, 8.677856, 9.186743, 9.432997, 10.959325, 11.071225, 11.248543, 12.385781, 13.218434, 113.885318], [5.721464, 5.790645, 6.011455, 6.611781, 6.967134, 6.978739, 7.980093, 8.375193, 10.204661, 24.162771], [4.893759, 5.425179, 5.493519, 5.565236, 5.617120, 6.511181, 6.781516, 8.061623, 8.103222, 10.156139], [3.687485, 3.734082, 3.824385, 4.303456, 4.801725, 5.404429, 5.454174, 5.770028, 6.630149, 42.307725]]
### 6
fourier: [[2.759888, 2.904284, 2.947565, 3.419515, 3.434734, 3.715263, 3.930996, 4.459498, 5.389407, 108.587516], [5.330829, 5.394647, 6.030332, 6.077662, 6.729571, 6.869875, 7.031988, 7.437827, 9.147794, 90.843930], [7.629880, 7.711463, 7.786480, 7.849923, 7.884690, 8.727789, 10.158730, 11.531799, 11.629397, 14.438333], [6.379470, 6.388933, 6.464724, 7.342560, 7.516458, 7.700448, 8.400094, 8.764623, 10.932419, 91.500732], [13.168464, 14.170438, 14.206009, 15.966037, 16.081764, 16.148317, 18.126962, 19.494036, 23.834470, 70.790544]]
### 8
fourier: [[8.525064, 9.043410, 9.247468, 9.356999, 9.818241, 11.464753, 12.577128, 13.106533, 16.137014, 120.161298], [8.267136, 8.416940, 8.432375, 8.462791, 8.761894, 9.424575, 10.935397, 11.838852, 12.018360, 14.913664], [7.286166, 7.426877, 7.596792, 8.248252, 8.531063, 9.223368, 9.982468, 10.968758, 13.171926, 134.569439], [5.731055, 5.981762, 6.246834, 6.915515, 6.940733, 7.060938, 7.751693, 8.521129, 10.313589, 67.500226], [8.446936, 8.577816, 8.640886, 8.884687, 9.186401, 11.158419, 12.106062, 12.738643, 15.515794, 47.969228]]
### 10
fourier: [[9.385767, 9.545791, 9.780133, 10.027449, 10.637087, 12.784943, 13.485480, 14.919845, 17.700987, 96.315996], [12.537795, 12.817377, 13.352357, 13.571472, 14.514507, 17.179681, 18.080725, 20.200547, 23.846316, 204.670837], [8.859018, 8.937473, 9.068942, 9.109117, 9.268754, 11.868272, 12.654831, 13.495426, 16.301650, 126.786817], [1.496517, 1.505140, 1.515102, 1.585943, 1.728836, 2.042441, 2.156769, 2.226747, 2.754113, 33.002600], [5.569484, 5.667648, 5.909897, 6.006277, 6.428313, 7.629280, 8.006957, 8.987607, 10.578237, 86.657665]]
### 12
fourier: [[9.581634, 10.087199, 10.100320, 10.464716, 10.470243, 13.499736, 13.752854, 15.789654, 18.245209, 151.426859]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6831960082054138, "train_acc": 0.6, "val_loss": 0.766354501247406, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6757133901119232, "train_acc": 0.6, "val_loss": 0.7643523216247559, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6423022150993347, "train_acc": 0.6, "val_loss": 0.6366368532180786, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5540644824504852, "train_acc": 0.625, "val_loss": 0.37305182218551636, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.37305648624897003, "train_acc": 0.84, "val_loss": 0.742836594581604, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.48476363718509674, "train_acc": 0.8, "val_loss": 0.325675368309021, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.38159042596817017, "train_acc": 0.825, "val_loss": 0.3732699453830719, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.39417117834091187, "train_acc": 0.81, "val_loss": 0.4281337857246399, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.40207192301750183, "train_acc": 0.81, "val_loss": 0.43661633133888245, "val_acc": 0.86}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.766354501247406, "final_val_loss": 0.6366368532180786, "initial_val_acc": 0.38, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.37305182218551636, "final_val_loss": 0.43661633133888245, "initial_val_acc": 0.88, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.42, "first_improvement_epoch": 2}}
|
215
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3646, "learning_rate": 0.022885859678789006, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[16.857684, 18.086212, 18.628266, 18.717006, 21.912759, 24.644323, 26.559747, 30.167840, 31.737058, 150.331349], [18.214557, 18.301255, 19.006669, 19.482372, 22.662500, 23.479791, 23.981741, 25.554726, 28.851860, 200.196359], [20.334623, 20.464734, 21.424495, 21.425957, 21.959159, 22.521324, 22.578663, 22.780735, 27.105589, 84.347011], [18.228171, 18.431324, 18.631612, 18.646512, 19.026678, 19.231347, 22.825899, 28.471021, 30.820323, 31.001970], [30.312889, 31.831324, 33.234739, 33.563569, 38.008420, 38.133588, 38.888932, 42.322642, 44.868218, 118.817899]]
### 2
fourier: [[21.023581, 21.891846, 24.030627, 24.080876, 27.667339, 28.810787, 30.064952, 31.051922, 36.680672, 120.305673], [6.924249, 7.166409, 7.524483, 7.945787, 8.866082, 9.259152, 9.285935, 10.175648, 10.820674, 37.861035], [11.828132, 12.334686, 12.621650, 14.083058, 14.220758, 16.118462, 17.023562, 19.591300, 21.165954, 164.986544], [11.788561, 12.120506, 12.491546, 12.597128, 12.877390, 13.547123, 13.551184, 13.705192, 15.329077, 20.403121], [8.032851, 8.096171, 8.204972, 8.850221, 9.022990, 10.675430, 10.802985, 12.044823, 12.061739, 56.943368]]
### 4
fourier: [[3.815143, 3.864388, 4.125549, 4.297698, 4.588842, 4.828440, 5.278067, 5.388892, 6.191729, 55.749165], [4.066264, 4.125934, 4.452683, 4.829996, 5.036160, 5.630766, 5.762708, 5.891986, 6.391688, 10.677451], [5.014263, 5.041441, 5.241893, 5.331948, 5.493033, 5.746131, 5.805567, 5.965246, 7.775746, 35.075681], [7.809738, 7.907152, 8.350767, 8.474313, 8.649822, 9.089169, 9.181562, 9.627868, 12.066208, 32.702677], [8.900422, 8.921581, 9.037735, 9.117540, 9.131248, 9.154316, 9.568522, 10.144464, 10.978084, 35.609492]]
### 6
fourier: [[5.609535, 5.614659, 5.845143, 6.599995, 7.186919, 7.693937, 7.892646, 8.009583, 8.646402, 34.204653], [5.523668, 5.541730, 6.050473, 6.204353, 6.697949, 6.951726, 7.472492, 8.000629, 8.091043, 20.714141], [4.633018, 5.352653, 5.457986, 5.527488, 6.033068, 6.335118, 6.849851, 6.862155, 7.767051, 88.253572], [3.823663, 3.934174, 4.066985, 4.591668, 4.609348, 4.762449, 4.909033, 5.569405, 5.763500, 39.203204], [3.206104, 3.257600, 3.390073, 3.785369, 4.096066, 4.381385, 4.560897, 4.637582, 4.988515, 7.913845]]
### 8
fourier: [[4.783319, 4.901609, 5.373414, 5.633368, 6.144883, 6.481000, 6.840618, 6.935562, 7.557161, 57.530785], [5.171657, 5.189206, 5.771907, 5.980703, 6.385686, 6.874428, 7.147126, 7.312730, 7.767256, 55.726068], [9.373298, 9.614714, 9.669930, 10.104030, 10.345669, 11.448959, 11.546279, 12.029031, 12.181564, 84.995521], [8.910747, 8.963243, 9.956795, 10.357829, 11.063149, 11.831505, 12.387376, 12.623725, 13.463705, 140.246058], [6.512373, 6.653020, 7.158045, 7.603984, 8.087812, 8.644426, 8.987155, 9.173122, 9.783224, 100.049332]]
### 10
fourier: [[7.820474, 7.976929, 8.539211, 9.229603, 9.715644, 11.071689, 11.148689, 11.269271, 12.006302, 200.031624], [4.024096, 4.215366, 4.246026, 4.390960, 4.631854, 5.396459, 5.406907, 5.445261, 5.842433, 89.289401], [7.862821, 7.944834, 8.874376, 9.460686, 9.911043, 11.172165, 11.337280, 11.521494, 12.130314, 148.044469], [4.678081, 4.758985, 4.872905, 5.218129, 5.398936, 6.267544, 6.303716, 6.352933, 6.664145, 111.549605], [4.300932, 4.757825, 4.774144, 4.811100, 5.035154, 5.875387, 5.904289, 6.032502, 6.353925, 100.456907]]
### 12
fourier: [[8.149998, 8.714635, 8.816473, 8.962050, 9.277810, 10.944371, 11.017168, 11.248235, 11.599705, 172.646872]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[16.857684, 18.086212, 18.628266, 18.717006, 21.912759, 24.644323, 26.559747, 30.167840, 31.737058, 150.331349], [18.214557, 18.301255, 19.006669, 19.482372, 22.662500, 23.479791, 23.981741, 25.554726, 28.851860, 200.196359], [20.334623, 20.464734, 21.424495, 21.425957, 21.959159, 22.521324, 22.578663, 22.780735, 27.105589, 84.347011], [18.228171, 18.431324, 18.631612, 18.646512, 19.026678, 19.231347, 22.825899, 28.471021, 30.820323, 31.001970], [30.312889, 31.831324, 33.234739, 33.563569, 38.008420, 38.133588, 38.888932, 42.322642, 44.868218, 118.817899]]
### 2
fourier: [[21.023581, 21.891846, 24.030627, 24.080876, 27.667339, 28.810787, 30.064952, 31.051922, 36.680672, 120.305673], [6.924249, 7.166409, 7.524483, 7.945787, 8.866082, 9.259152, 9.285935, 10.175648, 10.820674, 37.861035], [11.828132, 12.334686, 12.621650, 14.083058, 14.220758, 16.118462, 17.023562, 19.591300, 21.165954, 164.986544], [11.788561, 12.120506, 12.491546, 12.597128, 12.877390, 13.547123, 13.551184, 13.705192, 15.329077, 20.403121], [8.032851, 8.096171, 8.204972, 8.850221, 9.022990, 10.675430, 10.802985, 12.044823, 12.061739, 56.943368]]
### 4
fourier: [[3.815143, 3.864388, 4.125549, 4.297698, 4.588842, 4.828440, 5.278067, 5.388892, 6.191729, 55.749165], [4.066264, 4.125934, 4.452683, 4.829996, 5.036160, 5.630766, 5.762708, 5.891986, 6.391688, 10.677451], [5.014263, 5.041441, 5.241893, 5.331948, 5.493033, 5.746131, 5.805567, 5.965246, 7.775746, 35.075681], [7.809738, 7.907152, 8.350767, 8.474313, 8.649822, 9.089169, 9.181562, 9.627868, 12.066208, 32.702677], [8.900422, 8.921581, 9.037735, 9.117540, 9.131248, 9.154316, 9.568522, 10.144464, 10.978084, 35.609492]]
### 6
fourier: [[5.609535, 5.614659, 5.845143, 6.599995, 7.186919, 7.693937, 7.892646, 8.009583, 8.646402, 34.204653], [5.523668, 5.541730, 6.050473, 6.204353, 6.697949, 6.951726, 7.472492, 8.000629, 8.091043, 20.714141], [4.633018, 5.352653, 5.457986, 5.527488, 6.033068, 6.335118, 6.849851, 6.862155, 7.767051, 88.253572], [3.823663, 3.934174, 4.066985, 4.591668, 4.609348, 4.762449, 4.909033, 5.569405, 5.763500, 39.203204], [3.206104, 3.257600, 3.390073, 3.785369, 4.096066, 4.381385, 4.560897, 4.637582, 4.988515, 7.913845]]
### 8
fourier: [[4.783319, 4.901609, 5.373414, 5.633368, 6.144883, 6.481000, 6.840618, 6.935562, 7.557161, 57.530785], [5.171657, 5.189206, 5.771907, 5.980703, 6.385686, 6.874428, 7.147126, 7.312730, 7.767256, 55.726068], [9.373298, 9.614714, 9.669930, 10.104030, 10.345669, 11.448959, 11.546279, 12.029031, 12.181564, 84.995521], [8.910747, 8.963243, 9.956795, 10.357829, 11.063149, 11.831505, 12.387376, 12.623725, 13.463705, 140.246058], [6.512373, 6.653020, 7.158045, 7.603984, 8.087812, 8.644426, 8.987155, 9.173122, 9.783224, 100.049332]]
### 10
fourier: [[7.820474, 7.976929, 8.539211, 9.229603, 9.715644, 11.071689, 11.148689, 11.269271, 12.006302, 200.031624], [4.024096, 4.215366, 4.246026, 4.390960, 4.631854, 5.396459, 5.406907, 5.445261, 5.842433, 89.289401], [7.862821, 7.944834, 8.874376, 9.460686, 9.911043, 11.172165, 11.337280, 11.521494, 12.130314, 148.044469], [4.678081, 4.758985, 4.872905, 5.218129, 5.398936, 6.267544, 6.303716, 6.352933, 6.664145, 111.549605], [4.300932, 4.757825, 4.774144, 4.811100, 5.035154, 5.875387, 5.904289, 6.032502, 6.353925, 100.456907]]
### 12
fourier: [[8.149998, 8.714635, 8.816473, 8.962050, 9.277810, 10.944371, 11.017168, 11.248235, 11.599705, 172.646872]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.304726, 0.432871, -0.101101, 0.37196, -0.204136], [0.064373, 0.451182, 0.318443, 0.26457, -0.233823], [-0.520567, 0.124245, 0.439476, 0.044041, 0.471804], [0.569809, -0.831335, 0.017347, 0.192059, 0.087588], [-0.664812, -0.806722, 0.035822, 0.083781, 0.571656]], "network.0.bias": [0.167658, 0.377974, -0.235747, 0.32721, 0.017616], "network.2.weight": [[-0.72136, -0.316027, 0.081498, 0.187131, 0.64457], [0.117011, -0.000486, -0.116488, 0.471159, -0.262981], [-0.218469, -0.016804, -0.614322, -0.516449, -0.37974], [-0.276175, 0.191101, 0.555901, -0.430835, -0.27686], [0.255753, 0.023236, -0.194087, 0.359347, -0.195383]], "network.2.bias": [0.211588, 0.166383, -0.457955, -0.053183, 0.227624], "network.4.weight": [[-0.223086, -0.109923, 0.392755, -0.343079, -0.68361], [0.170048, -0.458846, 0.312666, -0.106779, -0.263703], [0.200052, -0.216585, 0.153652, -0.452917, -0.589226], [0.601983, -0.514536, 0.138876, -0.709529, -0.614315], [0.292711, -0.677472, -0.052539, -0.654584, -0.767196]], "network.4.bias": [-0.018394, 0.476953, 0.173318, 0.369722, 0.477829], "network.6.weight": [[0.162908, 0.023612, 0.363243, 0.831082, 0.729527], [0.02021, 0.515003, 0.629169, 0.672789, 0.363529], [-0.683572, 0.382782, -0.890948, -0.586053, -0.714406], [0.24608, 0.547144, 0.83472, -0.052609, 0.577871], [0.125877, 0.107899, 0.159658, 0.409738, 0.472684]], "network.6.bias": [-0.290223, -0.201281, 0.731149, -0.368746, -0.046085], "network.8.weight": [[0.130861, 0.286975, -0.593846, 0.285421, 0.370422], [0.354809, 0.545915, -0.505995, 0.100525, -0.042243], [-0.993292, -0.653146, 0.24699, -0.457691, -0.213274], [-0.595764, -0.825999, 0.912882, -0.693451, 0.298814], [-0.200158, -0.358158, 0.545638, -0.726192, -0.537]], "network.8.bias": [-0.071623, -0.130238, 0.587508, 0.630898, 0.526649], "network.10.weight": [[-0.323199, -0.5798, 0.47819, 0.216428, 0.724557], [-0.384826, 0.445087, -0.233957, -0.564362, 0.100736], [-0.436019, -0.667304, 0.421181, 0.58342, 0.13817], [-0.684852, 0.28981, 0.58175, 0.271823, 0.04573], [-0.148649, 0.206564, -0.446755, -0.344781, -0.150717]], "network.10.bias": [0.61656, -0.012326, 0.103455, 0.207517, -0.026124], "network.12.weight": [[-0.476395, 0.156988, -0.503511, -0.299318, 0.455561]], "network.12.bias": [0.366285]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7142086327075958, "train_acc": 0.445, "val_loss": 0.7077671885490417, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7015399932861328, "train_acc": 0.445, "val_loss": 0.6949025988578796, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6920873820781708, "train_acc": 0.495, "val_loss": 0.6844046711921692, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6847791373729706, "train_acc": 0.555, "val_loss": 0.6771363019943237, "val_acc": 0.58}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6902256011962891, "train_acc": 0.555, "val_loss": 0.6716625094413757, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.7030409574508667, "train_acc": 0.48, "val_loss": 0.6678445935249329, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6819570660591125, "train_acc": 0.48, "val_loss": 0.6590901017189026, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6603328287601471, "train_acc": 0.845, "val_loss": 0.6413263082504272, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6321499347686768, "train_acc": 0.9, "val_loss": 0.6114926338195801, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5909765958786011, "train_acc": 0.9, "val_loss": 0.5699262022972107, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5345877408981323, "train_acc": 0.93, "val_loss": 0.49989426136016846, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4765413850545883, "train_acc": 0.935, "val_loss": 0.46318337321281433, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4117574542760849, "train_acc": 0.905, "val_loss": 0.3797379732131958, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.332965612411499, "train_acc": 0.935, "val_loss": 0.34956473112106323, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.28528816998004913, "train_acc": 0.93, "val_loss": 0.3115907609462738, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7077671885490417, "final_val_loss": 0.6716625094413757, "initial_val_acc": 0.42, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6678445935249329, "final_val_loss": 0.3115907609462738, "initial_val_acc": 0.58, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 12}, "improvement": 0.3400000000000001, "first_improvement_epoch": 4}}
|
216
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{"target_pattern": "sorted_descending", "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": 6295, "learning_rate": 0.036824333855053945, "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
fourier: [[13.463186, 13.690038, 14.096148, 14.833182, 15.932679, 16.073132, 17.205534, 18.901374, 21.697097, 30.955594], [13.437302, 13.734090, 13.997545, 14.810148, 15.534807, 17.276724, 18.595679, 18.664040, 20.479708, 80.949271], [10.046461, 10.313217, 10.666772, 12.991031, 13.517911, 13.822032, 14.299878, 17.254900, 20.585198, 20.586242], [16.950986, 19.617435, 19.987448, 21.724714, 23.065827, 23.487249, 24.284381, 28.358956, 28.615335, 222.558545], [19.984277, 20.589530, 20.785891, 20.986624, 21.277651, 21.423221, 21.767520, 22.736324, 30.065110, 108.106837], [23.490633, 23.718382, 25.580339, 25.823730, 26.556530, 29.114762, 32.030985, 34.952068, 35.087699, 180.869070], [14.184655, 14.200443, 15.692354, 16.632640, 17.114548, 17.119669, 17.762549, 18.125389, 21.209903, 74.590767], [13.319996, 13.378721, 13.520005, 13.583168, 13.917340, 16.143566, 17.826639, 18.290889, 23.552448, 45.599106]]
### 2
fourier: [[7.345173, 7.703538, 7.870304, 7.954226, 8.728997, 9.341413, 9.571861, 9.655869, 12.247771, 13.231893], [10.974620, 11.175120, 11.611691, 12.568161, 12.689946, 12.789985, 13.232854, 13.765220, 13.898368, 19.564990], [6.789227, 7.183646, 7.456136, 8.004219, 8.080979, 8.445100, 8.485661, 8.564542, 8.998628, 103.359818], [4.998226, 5.266272, 5.453437, 5.529996, 6.076169, 6.561752, 6.829083, 7.119705, 7.230826, 30.470646], [7.049432, 7.988971, 8.514213, 8.941329, 9.259670, 10.497498, 12.261679, 12.423102, 13.175475, 92.178058], [11.115742, 11.406152, 11.483215, 12.476842, 12.550482, 12.709929, 13.559921, 14.291941, 20.975437, 56.595521], [5.456229, 5.591277, 6.140372, 6.535393, 6.734761, 6.765418, 6.939123, 7.229019, 8.936757, 9.154427], [12.683012, 12.761295, 12.893445, 13.683806, 16.555172, 16.962242, 17.044992, 17.685129, 20.225337, 77.010833]]
### 4
fourier: [[10.854756, 11.126821, 12.205047, 12.351534, 12.539272, 13.252718, 13.623362, 13.977793, 14.077724, 47.550945], [5.474625, 5.652194, 6.523835, 6.807110, 6.868910, 6.890162, 7.717324, 7.873090, 7.881698, 9.843330], [7.476940, 8.371460, 8.835429, 8.896021, 8.922815, 8.975580, 8.991699, 9.462895, 9.473054, 22.186186], [6.001842, 6.167030, 6.694210, 7.094971, 7.954265, 8.770513, 9.061241, 9.152904, 10.115155, 48.234896], [2.499081, 2.732162, 2.791324, 2.800271, 3.023712, 3.557389, 3.718237, 3.731812, 4.020721, 11.488931], [7.394859, 7.938609, 7.995354, 8.587164, 8.859409, 9.369367, 9.663148, 10.249145, 10.455070, 17.515600], [6.655903, 6.687010, 7.112130, 7.630741, 7.879728, 8.027009, 8.399635, 9.229122, 10.578043, 13.217025], [2.818992, 2.852525, 2.883977, 2.922048, 3.086752, 3.425366, 3.662330, 4.217795, 4.744083, 24.092058]]
### 6
fourier: [[8.119768, 8.714378, 8.812665, 8.880847, 9.029188, 9.239221, 10.356377, 10.609836, 11.624873, 12.387251], [4.212664, 4.244941, 4.334555, 4.491519, 5.449058, 5.460625, 5.944117, 6.064176, 6.183672, 49.357496], [8.691973, 9.465687, 9.658935, 10.336178, 10.422561, 11.752249, 11.779403, 11.948795, 12.511829, 28.658627], [1.168343, 1.176736, 1.283552, 1.307135, 1.341899, 1.369236, 1.537942, 1.720481, 1.771911, 16.728628], [9.188862, 9.599348, 9.715927, 9.808938, 9.897693, 10.970518, 11.325651, 11.929555, 12.255871, 38.649426], [7.115968, 7.707976, 7.757017, 7.846286, 8.083416, 8.842969, 9.124855, 9.341993, 9.690421, 26.141941], [4.375156, 4.640904, 4.940514, 5.187221, 5.292992, 5.378437, 5.526004, 7.127943, 7.429428, 52.275466], [1.752800, 1.758953, 1.860198, 2.010622, 2.082976, 2.447777, 2.507540, 2.566095, 2.843910, 14.092686]]
### 8
fourier: [[5.306998, 5.375093, 5.560610, 5.582020, 7.094117, 7.544048, 7.863084, 8.041619, 8.055890, 41.443993], [1.334840, 1.533266, 1.682543, 1.732749, 1.757617, 1.825260, 1.914800, 2.063706, 2.510707, 45.733141], [6.717206, 6.821258, 6.985616, 7.282780, 8.572346, 9.375969, 9.769387, 9.775886, 9.992082, 57.998188], [8.125266, 8.613192, 8.673751, 9.031975, 9.772817, 10.284536, 10.829816, 10.849673, 11.618364, 18.771814], [6.556577, 7.176597, 7.214880, 7.377426, 7.431476, 7.827744, 8.328253, 8.374923, 8.906680, 20.049342], [5.525943, 6.121860, 6.193977, 6.213339, 6.254815, 6.661784, 6.930072, 7.098370, 7.520657, 14.592568], [0.735824, 0.748692, 0.791689, 0.839300, 0.878716, 0.934186, 0.936386, 0.943248, 1.018077, 33.752222], [7.448720, 7.528930, 7.585432, 8.114258, 8.213794, 8.658683, 9.200986, 9.509109, 9.969434, 10.653135]]
### 10
fourier: [[10.026935, 10.554828, 10.804584, 11.886507, 11.886765, 13.478399, 13.800482, 13.919764, 15.385199, 29.447736]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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}
## Activation Signature
### 0
fourier: [[13.463186, 13.690038, 14.096148, 14.833182, 15.932679, 16.073132, 17.205534, 18.901374, 21.697097, 30.955594], [13.437302, 13.734090, 13.997545, 14.810148, 15.534807, 17.276724, 18.595679, 18.664040, 20.479708, 80.949271], [10.046461, 10.313217, 10.666772, 12.991031, 13.517911, 13.822032, 14.299878, 17.254900, 20.585198, 20.586242], [16.950986, 19.617435, 19.987448, 21.724714, 23.065827, 23.487249, 24.284381, 28.358956, 28.615335, 222.558545], [19.984277, 20.589530, 20.785891, 20.986624, 21.277651, 21.423221, 21.767520, 22.736324, 30.065110, 108.106837], [23.490633, 23.718382, 25.580339, 25.823730, 26.556530, 29.114762, 32.030985, 34.952068, 35.087699, 180.869070], [14.184655, 14.200443, 15.692354, 16.632640, 17.114548, 17.119669, 17.762549, 18.125389, 21.209903, 74.590767], [13.319996, 13.378721, 13.520005, 13.583168, 13.917340, 16.143566, 17.826639, 18.290889, 23.552448, 45.599106]]
### 2
fourier: [[7.345173, 7.703538, 7.870304, 7.954226, 8.728997, 9.341413, 9.571861, 9.655869, 12.247771, 13.231893], [10.974620, 11.175120, 11.611691, 12.568161, 12.689946, 12.789985, 13.232854, 13.765220, 13.898368, 19.564990], [6.789227, 7.183646, 7.456136, 8.004219, 8.080979, 8.445100, 8.485661, 8.564542, 8.998628, 103.359818], [4.998226, 5.266272, 5.453437, 5.529996, 6.076169, 6.561752, 6.829083, 7.119705, 7.230826, 30.470646], [7.049432, 7.988971, 8.514213, 8.941329, 9.259670, 10.497498, 12.261679, 12.423102, 13.175475, 92.178058], [11.115742, 11.406152, 11.483215, 12.476842, 12.550482, 12.709929, 13.559921, 14.291941, 20.975437, 56.595521], [5.456229, 5.591277, 6.140372, 6.535393, 6.734761, 6.765418, 6.939123, 7.229019, 8.936757, 9.154427], [12.683012, 12.761295, 12.893445, 13.683806, 16.555172, 16.962242, 17.044992, 17.685129, 20.225337, 77.010833]]
### 4
fourier: [[10.854756, 11.126821, 12.205047, 12.351534, 12.539272, 13.252718, 13.623362, 13.977793, 14.077724, 47.550945], [5.474625, 5.652194, 6.523835, 6.807110, 6.868910, 6.890162, 7.717324, 7.873090, 7.881698, 9.843330], [7.476940, 8.371460, 8.835429, 8.896021, 8.922815, 8.975580, 8.991699, 9.462895, 9.473054, 22.186186], [6.001842, 6.167030, 6.694210, 7.094971, 7.954265, 8.770513, 9.061241, 9.152904, 10.115155, 48.234896], [2.499081, 2.732162, 2.791324, 2.800271, 3.023712, 3.557389, 3.718237, 3.731812, 4.020721, 11.488931], [7.394859, 7.938609, 7.995354, 8.587164, 8.859409, 9.369367, 9.663148, 10.249145, 10.455070, 17.515600], [6.655903, 6.687010, 7.112130, 7.630741, 7.879728, 8.027009, 8.399635, 9.229122, 10.578043, 13.217025], [2.818992, 2.852525, 2.883977, 2.922048, 3.086752, 3.425366, 3.662330, 4.217795, 4.744083, 24.092058]]
### 6
fourier: [[8.119768, 8.714378, 8.812665, 8.880847, 9.029188, 9.239221, 10.356377, 10.609836, 11.624873, 12.387251], [4.212664, 4.244941, 4.334555, 4.491519, 5.449058, 5.460625, 5.944117, 6.064176, 6.183672, 49.357496], [8.691973, 9.465687, 9.658935, 10.336178, 10.422561, 11.752249, 11.779403, 11.948795, 12.511829, 28.658627], [1.168343, 1.176736, 1.283552, 1.307135, 1.341899, 1.369236, 1.537942, 1.720481, 1.771911, 16.728628], [9.188862, 9.599348, 9.715927, 9.808938, 9.897693, 10.970518, 11.325651, 11.929555, 12.255871, 38.649426], [7.115968, 7.707976, 7.757017, 7.846286, 8.083416, 8.842969, 9.124855, 9.341993, 9.690421, 26.141941], [4.375156, 4.640904, 4.940514, 5.187221, 5.292992, 5.378437, 5.526004, 7.127943, 7.429428, 52.275466], [1.752800, 1.758953, 1.860198, 2.010622, 2.082976, 2.447777, 2.507540, 2.566095, 2.843910, 14.092686]]
### 8
fourier: [[5.306998, 5.375093, 5.560610, 5.582020, 7.094117, 7.544048, 7.863084, 8.041619, 8.055890, 41.443993], [1.334840, 1.533266, 1.682543, 1.732749, 1.757617, 1.825260, 1.914800, 2.063706, 2.510707, 45.733141], [6.717206, 6.821258, 6.985616, 7.282780, 8.572346, 9.375969, 9.769387, 9.775886, 9.992082, 57.998188], [8.125266, 8.613192, 8.673751, 9.031975, 9.772817, 10.284536, 10.829816, 10.849673, 11.618364, 18.771814], [6.556577, 7.176597, 7.214880, 7.377426, 7.431476, 7.827744, 8.328253, 8.374923, 8.906680, 20.049342], [5.525943, 6.121860, 6.193977, 6.213339, 6.254815, 6.661784, 6.930072, 7.098370, 7.520657, 14.592568], [0.735824, 0.748692, 0.791689, 0.839300, 0.878716, 0.934186, 0.936386, 0.943248, 1.018077, 33.752222], [7.448720, 7.528930, 7.585432, 8.114258, 8.213794, 8.658683, 9.200986, 9.509109, 9.969434, 10.653135]]
### 10
fourier: [[10.026935, 10.554828, 10.804584, 11.886507, 11.886765, 13.478399, 13.800482, 13.919764, 15.385199, 29.447736]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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217
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{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8183, "learning_rate": 0.04597520331840239, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[36.411420, 36.821279, 39.499601, 41.852126, 42.299720, 45.633232, 49.910629, 50.060347, 56.138131, 305.962739], [26.128127, 26.420186, 26.726274, 27.676758, 27.716590, 33.061750, 35.233203, 39.209722, 46.848021, 101.611816], [22.990894, 23.183222, 25.556826, 26.186723, 26.748705, 29.127915, 32.818234, 32.912588, 35.340029, 261.435662], [14.562511, 14.936407, 15.052510, 15.591441, 15.981904, 16.287495, 21.190996, 22.625728, 23.482593, 25.830979], [28.715270, 29.539598, 30.234933, 30.412024, 33.931266, 34.226918, 34.963847, 35.208435, 37.595567, 316.905730], [24.180269, 24.186635, 24.281071, 27.401208, 27.681746, 28.102378, 29.052705, 29.137049, 39.111303, 59.111024], [31.491016, 34.563246, 35.291690, 35.314934, 36.064153, 36.352884, 36.996518, 41.542722, 43.644152, 227.264371], [23.319694, 23.551091, 24.111666, 25.818723, 25.953421, 27.876313, 28.363290, 33.284345, 35.377464, 69.499658]]
### 2
fourier: [[34.164927, 35.066466, 37.495371, 37.674088, 37.814089, 43.041887, 43.181271, 43.775273, 46.610884, 216.043466], [39.277605, 40.287966, 41.440764, 41.950383, 42.784664, 45.375775, 46.017258, 49.378793, 49.963165, 245.251445], [55.900586, 63.656630, 63.968466, 64.622329, 67.598157, 72.907181, 75.245315, 75.561073, 79.585759, 420.731377], [19.749021, 21.459701, 21.863918, 23.480331, 25.133227, 27.112356, 27.175167, 29.554370, 30.590204, 166.254212], [40.120929, 41.009213, 43.597798, 43.872673, 45.751557, 47.189300, 50.377783, 51.980156, 54.252062, 278.209190], [23.309759, 23.486584, 24.426540, 25.977567, 30.147514, 31.809857, 34.771098, 38.790524, 39.528506, 265.605996], [33.441376, 36.613209, 36.833096, 38.585453, 38.773032, 42.730987, 45.045944, 45.290850, 46.076908, 300.011877], [56.642339, 60.149085, 60.934304, 64.896413, 65.499552, 70.416148, 71.081667, 73.181110, 79.134670, 416.209380]]
### 4
fourier: [[116.199487, 118.711877, 120.142631, 125.880498, 126.747971, 138.437030, 142.269948, 143.820632, 153.591784, 807.896049], [36.609068, 37.544617, 39.648358, 40.204765, 40.974247, 41.324693, 43.017934, 47.324533, 48.056991, 173.535550], [64.630070, 66.200512, 69.407250, 71.805936, 72.397830, 80.266448, 81.387058, 81.569738, 88.443057, 413.561629], [106.949389, 107.144472, 110.030376, 114.607184, 114.908801, 126.063915, 129.801904, 131.000100, 139.273007, 764.526610], [82.881716, 84.583117, 88.616950, 89.880016, 91.091312, 98.757767, 102.866708, 104.640773, 108.893576, 564.245695], [124.544547, 124.951093, 128.597574, 134.056256, 135.077603, 145.996682, 151.064906, 154.450146, 162.602579, 844.397227], [83.074857, 83.474557, 88.829585, 90.013440, 91.478177, 99.569387, 103.097159, 104.761271, 109.486051, 575.305354], [94.115595, 96.676978, 99.527631, 101.446564, 102.842668, 109.564451, 114.312901, 118.096419, 123.893522, 665.868159]]
### 6
fourier: [[26.099004, 26.643154, 26.863412, 27.565460, 28.327598, 31.347607, 32.138300, 32.377567, 34.968812, 201.361719], [141.558658, 144.591195, 144.733155, 152.286951, 153.244380, 164.698936, 170.722543, 174.489222, 184.609484, 883.435982], [28.347366, 29.518493, 30.171341, 30.714690, 31.322292, 35.073678, 35.847681, 36.112952, 38.887529, 240.961094], [74.423777, 75.568292, 77.444122, 80.825810, 82.065743, 87.490094, 90.817578, 93.709994, 97.855454, 444.792934], [23.219171, 24.269515, 24.564077, 24.883646, 25.611446, 28.735880, 28.894462, 29.503185, 31.749375, 225.698542], [228.041322, 232.054914, 232.541580, 244.041949, 246.246914, 266.504237, 275.425776, 279.831441, 297.886349, 1559.824582], [89.064972, 90.388793, 93.895323, 95.066423, 96.666809, 108.067082, 110.073936, 110.791695, 118.754882, 599.943197], [140.481400, 143.608224, 144.577675, 150.953321, 152.234296, 164.818572, 170.561464, 173.579848, 184.096438, 915.141709]]
### 8
fourier: [[15.696856, 16.875004, 17.032437, 17.399296, 18.548925, 21.627598, 22.107790, 22.264008, 23.491891, 118.789973], [10.695514, 11.064915, 11.895397, 12.191453, 12.435632, 12.578165, 13.112702, 13.118825, 13.934833, 54.973320], [167.325955, 169.014395, 171.586060, 179.275339, 181.366635, 198.482226, 204.176898, 207.341072, 221.663624, 1281.942053], [167.692061, 172.247413, 176.830812, 178.829209, 183.684557, 199.216510, 204.691400, 205.506903, 221.474044, 1135.972250], [35.477489, 36.611314, 38.849582, 38.955126, 39.923064, 40.627509, 42.854267, 43.898207, 45.369831, 117.022133], [127.122366, 130.323711, 132.287702, 136.083052, 138.512050, 150.105218, 155.072168, 155.485647, 166.978167, 838.570721], [89.934166, 93.229424, 96.577178, 99.361890, 99.955049, 107.553610, 109.994219, 111.353626, 119.577980, 530.875321], [97.609698, 100.722383, 104.159084, 105.293719, 107.106241, 115.577694, 119.577550, 119.756141, 128.389503, 576.466271]]
### 10
fourier: [[111.609731, 115.108350, 117.971376, 120.892648, 124.115661, 134.677295, 135.202692, 138.405764, 149.151648, 725.313973], [95.580808, 99.615134, 101.235962, 106.884631, 107.291574, 115.138716, 115.917989, 119.226199, 128.184377, 582.510752], [136.327234, 139.793609, 144.572862, 144.688916, 150.375004, 163.000223, 165.160641, 167.670156, 180.624194, 881.968043], [96.626204, 101.091208, 102.914932, 108.783853, 108.884763, 116.932613, 117.036469, 120.659997, 129.657229, 541.987115], [71.996090, 75.188869, 75.191850, 81.544888, 83.103980, 85.834171, 88.199672, 90.598618, 97.354637, 408.634408], [32.215361, 33.371755, 34.083822, 34.828820, 37.752197, 39.485626, 40.742739, 43.333130, 43.770358, 87.446764], [59.688492, 61.571165, 64.063996, 64.402548, 65.893479, 70.324277, 71.739717, 72.682211, 77.987057, 332.893425], [28.035486, 28.456925, 28.883381, 31.309590, 31.373243, 34.222039, 35.031073, 35.805398, 38.861012, 243.584180]]
### 12
fourier: [[168.559731, 174.178279, 178.317956, 183.156507, 187.676402, 202.482623, 202.524324, 207.713901, 223.772974, 1020.755327]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[36.411420, 36.821279, 39.499601, 41.852126, 42.299720, 45.633232, 49.910629, 50.060347, 56.138131, 305.962739], [26.128127, 26.420186, 26.726274, 27.676758, 27.716590, 33.061750, 35.233203, 39.209722, 46.848021, 101.611816], [22.990894, 23.183222, 25.556826, 26.186723, 26.748705, 29.127915, 32.818234, 32.912588, 35.340029, 261.435662], [14.562511, 14.936407, 15.052510, 15.591441, 15.981904, 16.287495, 21.190996, 22.625728, 23.482593, 25.830979], [28.715270, 29.539598, 30.234933, 30.412024, 33.931266, 34.226918, 34.963847, 35.208435, 37.595567, 316.905730], [24.180269, 24.186635, 24.281071, 27.401208, 27.681746, 28.102378, 29.052705, 29.137049, 39.111303, 59.111024], [31.491016, 34.563246, 35.291690, 35.314934, 36.064153, 36.352884, 36.996518, 41.542722, 43.644152, 227.264371], [23.319694, 23.551091, 24.111666, 25.818723, 25.953421, 27.876313, 28.363290, 33.284345, 35.377464, 69.499658]]
### 2
fourier: [[34.164927, 35.066466, 37.495371, 37.674088, 37.814089, 43.041887, 43.181271, 43.775273, 46.610884, 216.043466], [39.277605, 40.287966, 41.440764, 41.950383, 42.784664, 45.375775, 46.017258, 49.378793, 49.963165, 245.251445], [55.900586, 63.656630, 63.968466, 64.622329, 67.598157, 72.907181, 75.245315, 75.561073, 79.585759, 420.731377], [19.749021, 21.459701, 21.863918, 23.480331, 25.133227, 27.112356, 27.175167, 29.554370, 30.590204, 166.254212], [40.120929, 41.009213, 43.597798, 43.872673, 45.751557, 47.189300, 50.377783, 51.980156, 54.252062, 278.209190], [23.309759, 23.486584, 24.426540, 25.977567, 30.147514, 31.809857, 34.771098, 38.790524, 39.528506, 265.605996], [33.441376, 36.613209, 36.833096, 38.585453, 38.773032, 42.730987, 45.045944, 45.290850, 46.076908, 300.011877], [56.642339, 60.149085, 60.934304, 64.896413, 65.499552, 70.416148, 71.081667, 73.181110, 79.134670, 416.209380]]
### 4
fourier: [[116.199487, 118.711877, 120.142631, 125.880498, 126.747971, 138.437030, 142.269948, 143.820632, 153.591784, 807.896049], [36.609068, 37.544617, 39.648358, 40.204765, 40.974247, 41.324693, 43.017934, 47.324533, 48.056991, 173.535550], [64.630070, 66.200512, 69.407250, 71.805936, 72.397830, 80.266448, 81.387058, 81.569738, 88.443057, 413.561629], [106.949389, 107.144472, 110.030376, 114.607184, 114.908801, 126.063915, 129.801904, 131.000100, 139.273007, 764.526610], [82.881716, 84.583117, 88.616950, 89.880016, 91.091312, 98.757767, 102.866708, 104.640773, 108.893576, 564.245695], [124.544547, 124.951093, 128.597574, 134.056256, 135.077603, 145.996682, 151.064906, 154.450146, 162.602579, 844.397227], [83.074857, 83.474557, 88.829585, 90.013440, 91.478177, 99.569387, 103.097159, 104.761271, 109.486051, 575.305354], [94.115595, 96.676978, 99.527631, 101.446564, 102.842668, 109.564451, 114.312901, 118.096419, 123.893522, 665.868159]]
### 6
fourier: [[26.099004, 26.643154, 26.863412, 27.565460, 28.327598, 31.347607, 32.138300, 32.377567, 34.968812, 201.361719], [141.558658, 144.591195, 144.733155, 152.286951, 153.244380, 164.698936, 170.722543, 174.489222, 184.609484, 883.435982], [28.347366, 29.518493, 30.171341, 30.714690, 31.322292, 35.073678, 35.847681, 36.112952, 38.887529, 240.961094], [74.423777, 75.568292, 77.444122, 80.825810, 82.065743, 87.490094, 90.817578, 93.709994, 97.855454, 444.792934], [23.219171, 24.269515, 24.564077, 24.883646, 25.611446, 28.735880, 28.894462, 29.503185, 31.749375, 225.698542], [228.041322, 232.054914, 232.541580, 244.041949, 246.246914, 266.504237, 275.425776, 279.831441, 297.886349, 1559.824582], [89.064972, 90.388793, 93.895323, 95.066423, 96.666809, 108.067082, 110.073936, 110.791695, 118.754882, 599.943197], [140.481400, 143.608224, 144.577675, 150.953321, 152.234296, 164.818572, 170.561464, 173.579848, 184.096438, 915.141709]]
### 8
fourier: [[15.696856, 16.875004, 17.032437, 17.399296, 18.548925, 21.627598, 22.107790, 22.264008, 23.491891, 118.789973], [10.695514, 11.064915, 11.895397, 12.191453, 12.435632, 12.578165, 13.112702, 13.118825, 13.934833, 54.973320], [167.325955, 169.014395, 171.586060, 179.275339, 181.366635, 198.482226, 204.176898, 207.341072, 221.663624, 1281.942053], [167.692061, 172.247413, 176.830812, 178.829209, 183.684557, 199.216510, 204.691400, 205.506903, 221.474044, 1135.972250], [35.477489, 36.611314, 38.849582, 38.955126, 39.923064, 40.627509, 42.854267, 43.898207, 45.369831, 117.022133], [127.122366, 130.323711, 132.287702, 136.083052, 138.512050, 150.105218, 155.072168, 155.485647, 166.978167, 838.570721], [89.934166, 93.229424, 96.577178, 99.361890, 99.955049, 107.553610, 109.994219, 111.353626, 119.577980, 530.875321], [97.609698, 100.722383, 104.159084, 105.293719, 107.106241, 115.577694, 119.577550, 119.756141, 128.389503, 576.466271]]
### 10
fourier: [[111.609731, 115.108350, 117.971376, 120.892648, 124.115661, 134.677295, 135.202692, 138.405764, 149.151648, 725.313973], [95.580808, 99.615134, 101.235962, 106.884631, 107.291574, 115.138716, 115.917989, 119.226199, 128.184377, 582.510752], [136.327234, 139.793609, 144.572862, 144.688916, 150.375004, 163.000223, 165.160641, 167.670156, 180.624194, 881.968043], [96.626204, 101.091208, 102.914932, 108.783853, 108.884763, 116.932613, 117.036469, 120.659997, 129.657229, 541.987115], [71.996090, 75.188869, 75.191850, 81.544888, 83.103980, 85.834171, 88.199672, 90.598618, 97.354637, 408.634408], [32.215361, 33.371755, 34.083822, 34.828820, 37.752197, 39.485626, 40.742739, 43.333130, 43.770358, 87.446764], [59.688492, 61.571165, 64.063996, 64.402548, 65.893479, 70.324277, 71.739717, 72.682211, 77.987057, 332.893425], [28.035486, 28.456925, 28.883381, 31.309590, 31.373243, 34.222039, 35.031073, 35.805398, 38.861012, 243.584180]]
### 12
fourier: [[168.559731, 174.178279, 178.317956, 183.156507, 187.676402, 202.482623, 202.524324, 207.713901, 223.772974, 1020.755327]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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218
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.62, "improved_accuracy": 0.78, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1219, "learning_rate": 0.053329282643477464, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[24.489417, 24.756278, 26.378673, 27.426767, 28.203490, 29.019027, 29.633421, 32.526740, 40.077591, 126.840898], [22.941290, 23.580833, 23.968413, 24.791139, 24.942613, 26.330462, 26.767081, 29.172730, 42.609227, 177.801192], [12.426307, 14.001042, 14.095234, 14.213221, 14.235621, 14.243224, 16.968233, 17.176731, 18.977050, 85.201439], [17.939264, 18.211283, 19.245471, 21.628622, 23.196604, 23.366830, 26.182268, 28.200636, 29.528935, 175.893614], [17.524357, 18.567736, 18.740050, 18.819603, 20.020104, 22.421987, 23.838748, 24.289625, 26.758207, 114.752752]]
### 2
fourier: [[12.426090, 12.848589, 13.371119, 14.736205, 17.633164, 17.891697, 19.301295, 19.909736, 22.627122, 63.338997], [21.002891, 23.181108, 25.265981, 25.354473, 26.333704, 26.464924, 26.576410, 28.707987, 45.204036, 137.095964], [11.017597, 11.071688, 11.090309, 11.952878, 12.860134, 12.944695, 13.372994, 13.826170, 14.117875, 17.006474], [7.090614, 7.285690, 7.559641, 7.886604, 8.178044, 8.960511, 8.987962, 10.820116, 13.426510, 46.394966], [4.656430, 5.003970, 5.293081, 5.564636, 5.882351, 6.035638, 6.060848, 8.512845, 8.710580, 9.245375]]
### 4
fourier: [[8.111892, 8.578353, 9.169709, 9.284899, 12.891798, 13.170065, 13.285198, 13.291889, 13.460665, 15.559845], [10.331849, 11.355877, 12.472915, 12.853112, 15.318576, 16.395534, 17.237657, 17.858061, 18.188815, 38.017215], [4.720712, 5.003903, 6.338183, 6.603316, 7.414099, 7.601627, 8.177645, 8.400854, 8.591275, 36.359303], [5.615089, 5.633821, 7.009017, 7.944576, 8.141955, 8.803274, 9.299339, 10.003412, 10.029014, 73.254155], [5.678160, 5.873543, 5.987553, 6.232665, 6.553925, 6.606548, 6.750621, 7.090047, 7.597306, 15.297855]]
### 6
fourier: [[4.682596, 4.745303, 5.161027, 5.243781, 5.289252, 5.571816, 5.880918, 5.910718, 6.657748, 8.006338], [6.053659, 6.063244, 6.105050, 7.019760, 8.611549, 8.691062, 9.243738, 9.435281, 10.081964, 11.228613], [5.633066, 6.152564, 6.397562, 6.841980, 7.056506, 7.961755, 8.021729, 8.601450, 9.341211, 9.605979], [8.453264, 8.591800, 9.169431, 9.304337, 12.751875, 12.777046, 12.800795, 13.109183, 13.831635, 21.747073], [8.098366, 9.004377, 9.530415, 9.797207, 10.277941, 11.317799, 11.728592, 12.151025, 14.605867, 21.489595]]
### 8
fourier: [[10.188134, 10.605511, 11.182344, 12.042050, 12.754420, 13.531669, 15.277154, 15.404651, 17.602237, 17.913308]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[24.489417, 24.756278, 26.378673, 27.426767, 28.203490, 29.019027, 29.633421, 32.526740, 40.077591, 126.840898], [22.941290, 23.580833, 23.968413, 24.791139, 24.942613, 26.330462, 26.767081, 29.172730, 42.609227, 177.801192], [12.426307, 14.001042, 14.095234, 14.213221, 14.235621, 14.243224, 16.968233, 17.176731, 18.977050, 85.201439], [17.939264, 18.211283, 19.245471, 21.628622, 23.196604, 23.366830, 26.182268, 28.200636, 29.528935, 175.893614], [17.524357, 18.567736, 18.740050, 18.819603, 20.020104, 22.421987, 23.838748, 24.289625, 26.758207, 114.752752]]
### 2
fourier: [[12.426090, 12.848589, 13.371119, 14.736205, 17.633164, 17.891697, 19.301295, 19.909736, 22.627122, 63.338997], [21.002891, 23.181108, 25.265981, 25.354473, 26.333704, 26.464924, 26.576410, 28.707987, 45.204036, 137.095964], [11.017597, 11.071688, 11.090309, 11.952878, 12.860134, 12.944695, 13.372994, 13.826170, 14.117875, 17.006474], [7.090614, 7.285690, 7.559641, 7.886604, 8.178044, 8.960511, 8.987962, 10.820116, 13.426510, 46.394966], [4.656430, 5.003970, 5.293081, 5.564636, 5.882351, 6.035638, 6.060848, 8.512845, 8.710580, 9.245375]]
### 4
fourier: [[8.111892, 8.578353, 9.169709, 9.284899, 12.891798, 13.170065, 13.285198, 13.291889, 13.460665, 15.559845], [10.331849, 11.355877, 12.472915, 12.853112, 15.318576, 16.395534, 17.237657, 17.858061, 18.188815, 38.017215], [4.720712, 5.003903, 6.338183, 6.603316, 7.414099, 7.601627, 8.177645, 8.400854, 8.591275, 36.359303], [5.615089, 5.633821, 7.009017, 7.944576, 8.141955, 8.803274, 9.299339, 10.003412, 10.029014, 73.254155], [5.678160, 5.873543, 5.987553, 6.232665, 6.553925, 6.606548, 6.750621, 7.090047, 7.597306, 15.297855]]
### 6
fourier: [[4.682596, 4.745303, 5.161027, 5.243781, 5.289252, 5.571816, 5.880918, 5.910718, 6.657748, 8.006338], [6.053659, 6.063244, 6.105050, 7.019760, 8.611549, 8.691062, 9.243738, 9.435281, 10.081964, 11.228613], [5.633066, 6.152564, 6.397562, 6.841980, 7.056506, 7.961755, 8.021729, 8.601450, 9.341211, 9.605979], [8.453264, 8.591800, 9.169431, 9.304337, 12.751875, 12.777046, 12.800795, 13.109183, 13.831635, 21.747073], [8.098366, 9.004377, 9.530415, 9.797207, 10.277941, 11.317799, 11.728592, 12.151025, 14.605867, 21.489595]]
### 8
fourier: [[10.188134, 10.605511, 11.182344, 12.042050, 12.754420, 13.531669, 15.277154, 15.404651, 17.602237, 17.913308]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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15.40465133619633, 17.60223688185215, 17.9133082760002]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.143354, 0.583496, -0.580804, -0.839036, 0.328419], [-0.240657, 0.193779, 0.943232, -0.132785, 0.183335], [-0.004707, -0.060714, -0.116019, 0.487638, 0.122839], [-0.224891, -0.626991, -0.076347, -0.077598, 0.085799], [-0.14598, 0.724725, 0.050086, 0.033972, -0.116384]], "network.0.bias": [0.313244, 0.010276, 0.108312, -0.311925, 0.102149], "network.2.weight": [[-0.121427, -0.010285, 0.241869, 0.614451, 0.748282], [-0.587567, -0.91468, 0.388633, -0.675646, -0.1227], [0.679372, -0.407051, -0.020102, -0.084617, 0.038697], [0.727894, -0.213721, -0.225607, -0.221556, 0.180477], [-0.292542, -0.036495, 0.076672, 0.533526, 0.288719]], "network.2.bias": [-0.354579, 0.075511, 0.495591, -0.213824, -0.288842], "network.4.weight": [[-0.536968, 0.558347, 0.332198, 0.343063, -0.460389], [0.846184, -0.156562, -0.582283, -0.278006, 0.163643], [-0.464954, 0.59339, -0.304381, -0.047426, 0.292153], [-0.444784, 0.48329, -0.266971, -0.630477, 0.203415], [-0.004314, 0.222862, 0.82961, 0.644518, -0.171265]], "network.4.bias": [0.512108, -0.107583, -0.09499, -0.542672, -0.254877], "network.6.weight": [[0.624167, -0.097147, 0.063118, 0.270425, 0.646594], [0.668186, -0.361221, 0.210343, 0.268853, 0.166309], [-0.094022, -0.546573, 0.168785, -0.008044, 0.531684], [0.673841, -0.584836, 0.388952, -0.392389, 0.303949], [-0.640311, 0.409081, -0.794253, -0.061228, -0.98823]], "network.6.bias": [-0.017747, 0.170971, 0.275275, 0.316182, 0.136076], "network.8.weight": [[0.430391, 0.399954, 0.35472, 0.63703, -0.853192]], "network.8.bias": [-0.28143]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.677225649356842, "train_acc": 0.585, "val_loss": 0.6658805012702942, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6579473316669464, "train_acc": 0.62, "val_loss": 0.666370689868927, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6744752824306488, "train_acc": 0.62, "val_loss": 0.6407791972160339, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6215362846851349, "train_acc": 0.66, "val_loss": 0.6363599896430969, "val_acc": 0.58}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6045697927474976, "train_acc": 0.635, "val_loss": 0.5931096076965332, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6823597848415375, "train_acc": 0.58, "val_loss": 0.5826212167739868, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.526127278804779, "train_acc": 0.78, "val_loss": 0.6185515522956848, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5535849332809448, "train_acc": 0.7, "val_loss": 0.6080242395401001, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5571908950805664, "train_acc": 0.695, "val_loss": 0.5729085803031921, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5141320526599884, "train_acc": 0.725, "val_loss": 0.5697944760322571, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.45370031893253326, "train_acc": 0.78, "val_loss": 0.676379919052124, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.47174060344696045, "train_acc": 0.76, "val_loss": 0.7469013929367065, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4480838477611542, "train_acc": 0.795, "val_loss": 0.761137068271637, "val_acc": 0.76}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6658805012702942, "final_val_loss": 0.5931096076965332, "initial_val_acc": 0.6, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5826212167739868, "final_val_loss": 0.761137068271637, "initial_val_acc": 0.72, "final_val_acc": 0.76, "best_val_acc": 0.78, "best_epoch": 9}, "improvement": 0.16000000000000003, "first_improvement_epoch": 4}}
|
219
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7411, "learning_rate": 0.0910470774466019, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[18.725836, 20.129912, 20.164764, 21.122819, 21.647104, 22.595924, 23.486190, 23.944784, 25.235687, 54.705781], [40.079340, 43.288390, 45.266816, 52.520260, 57.127395, 61.345001, 67.122235, 71.309169, 71.628773, 426.739068], [48.777342, 50.987787, 53.840944, 54.828538, 56.698405, 56.842607, 57.992699, 64.404373, 68.532726, 377.022611], [48.231026, 51.865943, 52.995901, 53.025405, 57.123888, 60.447065, 66.312285, 70.439687, 79.492970, 97.787116], [38.350471, 38.427811, 40.920886, 43.376429, 50.052041, 54.748069, 56.629346, 59.099921, 59.219338, 352.601389]]
### 2
fourier: [[32.403165, 34.032192, 36.946582, 37.015643, 43.044365, 43.475684, 45.036117, 45.751105, 46.921004, 252.080532], [41.697463, 45.435800, 48.824353, 52.104062, 52.554213, 53.912686, 56.362496, 57.266140, 59.854528, 248.277323], [39.147046, 42.674771, 45.245397, 48.567147, 49.071832, 50.954527, 53.485886, 54.110043, 55.843273, 239.578093], [20.301084, 20.915678, 21.022052, 21.405095, 27.189689, 27.194602, 27.982070, 28.874247, 30.765273, 203.354302], [20.267526, 20.879800, 22.127218, 23.170357, 23.618414, 27.154225, 29.768190, 31.746634, 35.689638, 61.460118]]
### 4
fourier: [[18.385237, 19.305754, 20.133231, 20.512346, 21.572020, 21.995434, 23.628913, 23.677388, 24.489837, 156.193025], [46.798231, 51.120502, 54.134725, 56.614038, 60.044918, 62.354894, 63.698365, 68.143354, 68.680261, 285.862911], [64.227743, 70.406505, 74.959579, 78.685913, 81.805254, 85.049430, 87.651214, 92.166605, 93.787797, 406.843783], [96.778578, 105.540548, 113.313325, 119.897392, 122.452775, 127.157435, 131.640626, 136.279948, 140.142775, 546.465846], [44.143312, 47.862663, 51.723649, 54.972793, 55.795899, 57.803833, 59.646597, 61.702861, 63.812732, 222.854235]]
### 6
fourier: [[60.254843, 65.368144, 70.159125, 73.137513, 76.419430, 79.405362, 81.125667, 86.575612, 86.958824, 326.944423], [91.493410, 100.315880, 109.234067, 114.036605, 114.873414, 119.795515, 124.355564, 128.093000, 131.668361, 634.082494], [81.644356, 88.938803, 96.313839, 101.019249, 102.806502, 106.897144, 110.355587, 114.713921, 117.490179, 397.767521], [130.621789, 142.046253, 153.206520, 160.524700, 165.061374, 171.328493, 176.283313, 185.092985, 188.363561, 789.517144], [255.049085, 278.679307, 301.483397, 315.448213, 321.539420, 334.475413, 345.553849, 359.631236, 367.851583, 1517.415155]]
### 8
fourier: [[357.710954, 387.943185, 418.009484, 439.119127, 452.316946, 467.984681, 480.074260, 505.735315, 515.183266, 2117.472239], [212.890187, 233.394366, 253.103746, 264.453221, 267.649759, 278.870625, 288.811216, 298.992281, 306.340594, 1373.805303], [226.988199, 246.403129, 266.361236, 278.674587, 286.290257, 297.116444, 305.139272, 321.122815, 326.097942, 1189.401392], [355.740625, 385.756187, 415.752987, 436.593142, 449.719148, 465.396281, 477.396321, 503.021443, 512.195711, 2095.142962], [118.095960, 126.630214, 134.633337, 143.463673, 150.984555, 154.190380, 156.462241, 167.717818, 171.207428, 751.010326]]
### 10
fourier: [[733.680333, 801.277426, 873.350791, 910.079872, 916.958905, 956.074053, 989.446785, 1025.298553, 1049.056203, 4620.121461], [577.014276, 623.318740, 669.839547, 705.525065, 731.916241, 754.833550, 770.597654, 818.601410, 830.513689, 3354.915590], [737.931373, 806.241868, 879.508154, 915.945545, 921.438906, 961.283220, 995.390296, 1030.324562, 1054.550967, 4642.329707], [752.451119, 818.364650, 887.275374, 928.302822, 945.717003, 981.950241, 1010.971768, 1057.560083, 1078.568039, 4516.663981], [575.759247, 629.291176, 686.737071, 714.952622, 718.659799, 750.006249, 776.963555, 803.617983, 822.707974, 3652.846024]]
### 12
fourier: [[409.891376, 442.962742, 479.193023, 503.137454, 517.089347, 534.688881, 546.819664, 578.222176, 587.864239, 2366.593946]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.515475,
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-0.311896,
-0.277646
],
[
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-1.080547,
-0.043769,
-1.022714
],
[
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-1.164925,
-0.178912,
0.011043,
-0.108109
],
[
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## Activation Signature
### 0
fourier: [[18.725836, 20.129912, 20.164764, 21.122819, 21.647104, 22.595924, 23.486190, 23.944784, 25.235687, 54.705781], [40.079340, 43.288390, 45.266816, 52.520260, 57.127395, 61.345001, 67.122235, 71.309169, 71.628773, 426.739068], [48.777342, 50.987787, 53.840944, 54.828538, 56.698405, 56.842607, 57.992699, 64.404373, 68.532726, 377.022611], [48.231026, 51.865943, 52.995901, 53.025405, 57.123888, 60.447065, 66.312285, 70.439687, 79.492970, 97.787116], [38.350471, 38.427811, 40.920886, 43.376429, 50.052041, 54.748069, 56.629346, 59.099921, 59.219338, 352.601389]]
### 2
fourier: [[32.403165, 34.032192, 36.946582, 37.015643, 43.044365, 43.475684, 45.036117, 45.751105, 46.921004, 252.080532], [41.697463, 45.435800, 48.824353, 52.104062, 52.554213, 53.912686, 56.362496, 57.266140, 59.854528, 248.277323], [39.147046, 42.674771, 45.245397, 48.567147, 49.071832, 50.954527, 53.485886, 54.110043, 55.843273, 239.578093], [20.301084, 20.915678, 21.022052, 21.405095, 27.189689, 27.194602, 27.982070, 28.874247, 30.765273, 203.354302], [20.267526, 20.879800, 22.127218, 23.170357, 23.618414, 27.154225, 29.768190, 31.746634, 35.689638, 61.460118]]
### 4
fourier: [[18.385237, 19.305754, 20.133231, 20.512346, 21.572020, 21.995434, 23.628913, 23.677388, 24.489837, 156.193025], [46.798231, 51.120502, 54.134725, 56.614038, 60.044918, 62.354894, 63.698365, 68.143354, 68.680261, 285.862911], [64.227743, 70.406505, 74.959579, 78.685913, 81.805254, 85.049430, 87.651214, 92.166605, 93.787797, 406.843783], [96.778578, 105.540548, 113.313325, 119.897392, 122.452775, 127.157435, 131.640626, 136.279948, 140.142775, 546.465846], [44.143312, 47.862663, 51.723649, 54.972793, 55.795899, 57.803833, 59.646597, 61.702861, 63.812732, 222.854235]]
### 6
fourier: [[60.254843, 65.368144, 70.159125, 73.137513, 76.419430, 79.405362, 81.125667, 86.575612, 86.958824, 326.944423], [91.493410, 100.315880, 109.234067, 114.036605, 114.873414, 119.795515, 124.355564, 128.093000, 131.668361, 634.082494], [81.644356, 88.938803, 96.313839, 101.019249, 102.806502, 106.897144, 110.355587, 114.713921, 117.490179, 397.767521], [130.621789, 142.046253, 153.206520, 160.524700, 165.061374, 171.328493, 176.283313, 185.092985, 188.363561, 789.517144], [255.049085, 278.679307, 301.483397, 315.448213, 321.539420, 334.475413, 345.553849, 359.631236, 367.851583, 1517.415155]]
### 8
fourier: [[357.710954, 387.943185, 418.009484, 439.119127, 452.316946, 467.984681, 480.074260, 505.735315, 515.183266, 2117.472239], [212.890187, 233.394366, 253.103746, 264.453221, 267.649759, 278.870625, 288.811216, 298.992281, 306.340594, 1373.805303], [226.988199, 246.403129, 266.361236, 278.674587, 286.290257, 297.116444, 305.139272, 321.122815, 326.097942, 1189.401392], [355.740625, 385.756187, 415.752987, 436.593142, 449.719148, 465.396281, 477.396321, 503.021443, 512.195711, 2095.142962], [118.095960, 126.630214, 134.633337, 143.463673, 150.984555, 154.190380, 156.462241, 167.717818, 171.207428, 751.010326]]
### 10
fourier: [[733.680333, 801.277426, 873.350791, 910.079872, 916.958905, 956.074053, 989.446785, 1025.298553, 1049.056203, 4620.121461], [577.014276, 623.318740, 669.839547, 705.525065, 731.916241, 754.833550, 770.597654, 818.601410, 830.513689, 3354.915590], [737.931373, 806.241868, 879.508154, 915.945545, 921.438906, 961.283220, 995.390296, 1030.324562, 1054.550967, 4642.329707], [752.451119, 818.364650, 887.275374, 928.302822, 945.717003, 981.950241, 1010.971768, 1057.560083, 1078.568039, 4516.663981], [575.759247, 629.291176, 686.737071, 714.952622, 718.659799, 750.006249, 776.963555, 803.617983, 822.707974, 3652.846024]]
### 12
fourier: [[409.891376, 442.962742, 479.193023, 503.137454, 517.089347, 534.688881, 546.819664, 578.222176, 587.864239, 2366.593946]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.340434, 0.515475, 0.482998, -0.311896, -0.277646], [-0.496295, -0.015338, -1.080547, -0.043769, -1.022714], [-1.107001, -1.164925, -0.178912, 0.011043, -0.108109], [1.19311, 0.202254, 0.784533, -0.916021, -0.155342], [-0.74617, -0.754134, -0.353295, 0.22825, -0.767496]], "network.0.bias": [0.094528, -0.483634, -0.205407, -0.249645, -0.419922], "network.2.weight": [[-0.819335, 0.701051, -0.170865, -0.739322, -0.877484], [0.767755, -0.373958, 1.142702, 0.980635, 0.02048], [0.754634, 0.095169, 0.159757, 0.916568, 0.143334], [-0.668058, -0.091357, 0.844743, -0.427472, -0.512995], [-1.429375, 1.105471, -1.324641, 0.008235, -0.128549]], "network.2.bias": [-0.664316, 0.192424, 0.221535, -0.854779, 0.415772], "network.4.weight": [[0.13222, -0.335578, -0.063229, -0.595715, -1.153767], [-0.048791, 0.668565, 0.485294, 0.192261, -1.069273], [0.074686, 0.872127, 0.728741, -0.693381, -1.130357], [0.558843, 1.143655, 1.235068, -0.0228, -0.830711], [-0.790492, -0.675498, -0.37961, -0.262275, 0.216841]], "network.4.bias": [-0.508942, 0.281038, 0.378344, -0.079418, 0.225102], "network.6.weight": [[-0.304533, 1.118509, 0.060917, 0.03487, -0.17606], [0.741351, -0.217383, -0.152289, -0.749148, -0.28969], [-1.078457, -0.684897, 0.294721, -0.695608, 0.21494], [-0.153546, 1.080375, 0.239123, 0.658242, -0.371975], [-0.511794, 0.712518, 1.322552, 1.408611, 0.258128]], "network.6.bias": [-0.407163, -0.984085, 0.562347, 0.267636, -0.022628], "network.8.weight": [[0.080869, 0.397528, -0.760491, 0.885458, 0.913732], [0.662188, 0.877364, -0.508132, -0.562642, -0.707449], [-1.067179, -0.978389, 0.480554, 0.073351, -0.66726], [0.209283, 0.344194, -0.755168, 0.957803, 0.839164], [0.743598, 0.114381, 0.786356, -0.783274, -0.222385]], "network.8.bias": [0.339373, -0.690376, 1.148053, 0.232856, -0.732695], "network.10.weight": [[-1.199041, 0.923628, -1.410145, -0.885749, 1.551505], [0.717894, 0.471857, -0.585892, 0.887986, 0.320304], [-0.854983, 1.301928, -1.511738, -1.245616, 1.332798], [-1.04178, -0.179197, -0.644639, -1.07998, 0.73765], [-0.561877, 0.69801, -1.233467, -1.078902, 1.308558]], "network.10.bias": [-1.413022, 0.038148, -1.299268, -0.000813, -1.302254], "network.12.weight": [[0.305598, -0.712911, 0.366716, -0.521173, -0.09811]], "network.12.bias": [0.49709]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7061254382133484, "train_acc": 0.435, "val_loss": 0.6942015886306763, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6835299730300903, "train_acc": 0.565, "val_loss": 0.7136588096618652, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.689116358757019, "train_acc": 0.565, "val_loss": 0.6970278024673462, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6837687492370605, "train_acc": 0.565, "val_loss": 0.6869658827781677, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6795718967914581, "train_acc": 0.565, "val_loss": 0.6259052157402039, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6206696033477783, "train_acc": 0.6, "val_loss": 0.5088997483253479, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.48876799643039703, "train_acc": 0.78, "val_loss": 0.4298422336578369, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.42753930389881134, "train_acc": 0.81, "val_loss": 0.35018834471702576, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.337764173746109, "train_acc": 0.86, "val_loss": 0.33651572465896606, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3815321773290634, "train_acc": 0.87, "val_loss": 0.3828063905239105, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.38011159002780914, "train_acc": 0.83, "val_loss": 0.48367881774902344, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.427104189991951, "train_acc": 0.805, "val_loss": 0.48451924324035645, "val_acc": 0.76}], "summary": {"total_epochs": 12, "degraded_epochs": 5, "improved_epochs": 7, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6942015886306763, "final_val_loss": 0.6259052157402039, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5088997483253479, "final_val_loss": 0.48451924324035645, "initial_val_acc": 0.78, "final_val_acc": 0.76, "best_val_acc": 0.86, "best_epoch": 7}, "improvement": 0.33999999999999997, "first_improvement_epoch": 4}}
|
220
|
{"target_pattern": "decreasing_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": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6195, "learning_rate": 0.0732778269621598, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[17.791757, 17.939403, 19.540665, 21.790495, 23.533675, 23.798970, 24.567225, 25.090857, 26.298142, 82.402865], [19.631774, 19.947491, 21.304155, 25.115358, 25.211949, 25.911305, 26.675389, 27.905096, 28.034562, 176.417619], [20.166596, 22.462521, 22.900008, 23.647427, 23.920279, 25.165570, 26.727947, 30.497478, 33.523854, 114.749932], [26.830333, 27.016625, 27.902963, 29.999216, 30.251990, 30.291204, 31.358889, 34.685751, 37.162576, 201.212566], [21.330686, 21.550032, 22.608112, 22.972189, 24.191051, 25.815416, 29.662993, 33.044686, 36.228618, 88.801051], [20.338714, 20.662041, 20.739449, 21.976120, 23.617315, 24.348465, 24.642161, 25.962277, 26.529651, 31.417656]]
### 2
fourier: [[17.965118, 18.043166, 18.840055, 19.656037, 19.850977, 20.629355, 22.254158, 24.446077, 26.771545, 99.435290], [10.924858, 11.072118, 11.585286, 12.076459, 12.426623, 12.800574, 13.513287, 14.015565, 14.902754, 149.116267], [14.993459, 15.427910, 16.537193, 16.562103, 20.118771, 20.634997, 23.134583, 24.136447, 25.232914, 203.668846], [5.744756, 5.869247, 5.889980, 6.221076, 6.345135, 6.510270, 6.996213, 7.978458, 9.025764, 10.938026], [31.965220, 32.642140, 33.736156, 34.153348, 36.436518, 36.522450, 39.293324, 41.711395, 46.010327, 113.126343], [21.723374, 22.504137, 25.311267, 29.483387, 30.614612, 31.314293, 31.830555, 34.773470, 35.470332, 101.776954]]
### 4
fourier: [[22.514005, 22.797647, 23.294676, 23.762074, 25.662952, 26.017173, 28.149013, 32.360323, 38.937545, 133.012273], [18.869879, 20.259254, 20.432217, 21.029664, 21.522124, 23.740688, 26.063203, 28.914697, 34.498291, 68.213483], [17.240929, 17.299275, 18.769534, 18.787777, 19.070006, 19.083923, 20.414690, 25.249423, 30.135486, 144.459758], [13.335805, 13.848374, 14.979242, 17.103743, 17.209375, 18.739704, 18.813387, 19.016662, 21.906549, 90.166120], [11.261231, 11.604254, 12.634101, 12.766784, 12.952887, 13.052142, 13.178185, 14.533135, 19.079244, 66.626515], [2.016136, 2.261979, 2.317019, 2.670632, 2.873230, 2.969028, 3.419292, 3.552459, 3.801252, 56.609312]]
### 6
fourier: [[17.306592, 18.249237, 18.334221, 18.649811, 18.794945, 19.252598, 20.189360, 22.828657, 30.152903, 136.787283], [2.091265, 2.092494, 2.144834, 2.226131, 2.299484, 2.353634, 2.646124, 2.898377, 3.453031, 47.992094], [17.414512, 18.246264, 18.746355, 18.853967, 19.809282, 20.474580, 20.578915, 22.338907, 29.869523, 175.820537], [17.611001, 18.217160, 18.493787, 18.560729, 18.727074, 19.721845, 20.361110, 23.000237, 30.469439, 118.154779], [38.023018, 38.245738, 38.813865, 39.169607, 40.741812, 44.401491, 44.905177, 53.896197, 67.685380, 273.855000], [4.128980, 4.165821, 4.167585, 4.250973, 4.346833, 4.362526, 4.391910, 5.173022, 5.645768, 74.968709]]
### 8
fourier: [[27.069646, 28.461253, 28.813600, 29.341952, 29.691472, 31.279197, 32.300408, 37.467923, 48.301714, 227.042618], [18.097140, 19.313964, 19.647957, 19.889773, 19.901369, 20.885916, 21.730650, 25.002730, 32.450476, 179.040599], [5.324827, 5.711618, 5.752988, 5.849647, 6.006342, 6.028758, 6.344472, 7.039642, 9.426621, 54.241380], [29.642621, 31.113983, 31.531255, 32.210192, 32.560682, 34.121656, 35.352503, 41.023747, 52.802692, 263.256052], [21.627304, 23.381324, 23.733250, 24.052014, 24.153970, 24.818761, 25.920094, 28.985547, 38.277817, 204.104335], [30.065570, 32.130779, 32.632973, 32.842134, 32.876161, 34.847128, 36.047625, 41.398557, 53.944151, 232.676556]]
### 10
fourier: [[21.608973, 23.023563, 23.420143, 23.762528, 23.774406, 25.003768, 25.951431, 29.825279, 38.771650, 161.079804]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[17.791757, 17.939403, 19.540665, 21.790495, 23.533675, 23.798970, 24.567225, 25.090857, 26.298142, 82.402865], [19.631774, 19.947491, 21.304155, 25.115358, 25.211949, 25.911305, 26.675389, 27.905096, 28.034562, 176.417619], [20.166596, 22.462521, 22.900008, 23.647427, 23.920279, 25.165570, 26.727947, 30.497478, 33.523854, 114.749932], [26.830333, 27.016625, 27.902963, 29.999216, 30.251990, 30.291204, 31.358889, 34.685751, 37.162576, 201.212566], [21.330686, 21.550032, 22.608112, 22.972189, 24.191051, 25.815416, 29.662993, 33.044686, 36.228618, 88.801051], [20.338714, 20.662041, 20.739449, 21.976120, 23.617315, 24.348465, 24.642161, 25.962277, 26.529651, 31.417656]]
### 2
fourier: [[17.965118, 18.043166, 18.840055, 19.656037, 19.850977, 20.629355, 22.254158, 24.446077, 26.771545, 99.435290], [10.924858, 11.072118, 11.585286, 12.076459, 12.426623, 12.800574, 13.513287, 14.015565, 14.902754, 149.116267], [14.993459, 15.427910, 16.537193, 16.562103, 20.118771, 20.634997, 23.134583, 24.136447, 25.232914, 203.668846], [5.744756, 5.869247, 5.889980, 6.221076, 6.345135, 6.510270, 6.996213, 7.978458, 9.025764, 10.938026], [31.965220, 32.642140, 33.736156, 34.153348, 36.436518, 36.522450, 39.293324, 41.711395, 46.010327, 113.126343], [21.723374, 22.504137, 25.311267, 29.483387, 30.614612, 31.314293, 31.830555, 34.773470, 35.470332, 101.776954]]
### 4
fourier: [[22.514005, 22.797647, 23.294676, 23.762074, 25.662952, 26.017173, 28.149013, 32.360323, 38.937545, 133.012273], [18.869879, 20.259254, 20.432217, 21.029664, 21.522124, 23.740688, 26.063203, 28.914697, 34.498291, 68.213483], [17.240929, 17.299275, 18.769534, 18.787777, 19.070006, 19.083923, 20.414690, 25.249423, 30.135486, 144.459758], [13.335805, 13.848374, 14.979242, 17.103743, 17.209375, 18.739704, 18.813387, 19.016662, 21.906549, 90.166120], [11.261231, 11.604254, 12.634101, 12.766784, 12.952887, 13.052142, 13.178185, 14.533135, 19.079244, 66.626515], [2.016136, 2.261979, 2.317019, 2.670632, 2.873230, 2.969028, 3.419292, 3.552459, 3.801252, 56.609312]]
### 6
fourier: [[17.306592, 18.249237, 18.334221, 18.649811, 18.794945, 19.252598, 20.189360, 22.828657, 30.152903, 136.787283], [2.091265, 2.092494, 2.144834, 2.226131, 2.299484, 2.353634, 2.646124, 2.898377, 3.453031, 47.992094], [17.414512, 18.246264, 18.746355, 18.853967, 19.809282, 20.474580, 20.578915, 22.338907, 29.869523, 175.820537], [17.611001, 18.217160, 18.493787, 18.560729, 18.727074, 19.721845, 20.361110, 23.000237, 30.469439, 118.154779], [38.023018, 38.245738, 38.813865, 39.169607, 40.741812, 44.401491, 44.905177, 53.896197, 67.685380, 273.855000], [4.128980, 4.165821, 4.167585, 4.250973, 4.346833, 4.362526, 4.391910, 5.173022, 5.645768, 74.968709]]
### 8
fourier: [[27.069646, 28.461253, 28.813600, 29.341952, 29.691472, 31.279197, 32.300408, 37.467923, 48.301714, 227.042618], [18.097140, 19.313964, 19.647957, 19.889773, 19.901369, 20.885916, 21.730650, 25.002730, 32.450476, 179.040599], [5.324827, 5.711618, 5.752988, 5.849647, 6.006342, 6.028758, 6.344472, 7.039642, 9.426621, 54.241380], [29.642621, 31.113983, 31.531255, 32.210192, 32.560682, 34.121656, 35.352503, 41.023747, 52.802692, 263.256052], [21.627304, 23.381324, 23.733250, 24.052014, 24.153970, 24.818761, 25.920094, 28.985547, 38.277817, 204.104335], [30.065570, 32.130779, 32.632973, 32.842134, 32.876161, 34.847128, 36.047625, 41.398557, 53.944151, 232.676556]]
### 10
fourier: [[21.608973, 23.023563, 23.420143, 23.762528, 23.774406, 25.003768, 25.951431, 29.825279, 38.771650, 161.079804]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.7091429829597473, "train_acc": 0.45, "val_loss": 0.6828758120536804, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6726882755756378, "train_acc": 0.57, "val_loss": 0.5881233215332031, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5461699366569519, "train_acc": 0.49, "val_loss": 0.4217681884765625, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.38014544546604156, "train_acc": 0.935, "val_loss": 0.37808626890182495, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.31547772884368896, "train_acc": 0.94, "val_loss": 0.372299462556839, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2948004901409149, "train_acc": 0.935, "val_loss": 0.36356791853904724, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.28367970883846283, "train_acc": 0.935, "val_loss": 0.3463957905769348, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.25486576557159424, "train_acc": 0.945, "val_loss": 0.4469243884086609, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2562389224767685, "train_acc": 0.92, "val_loss": 0.3486863672733307, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.23637235909700394, "train_acc": 0.935, "val_loss": 0.4428654909133911, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6828758120536804, "final_val_loss": 0.5881233215332031, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4217681884765625, "final_val_loss": 0.4428654909133911, "initial_val_acc": 0.88, "final_val_acc": 0.8, "best_val_acc": 0.88, "best_epoch": 2}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
221
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3023, "learning_rate": 0.09781995364724777, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
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[
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[
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}
## Activation Signature
### 0
fourier: [[20.472418, 20.666732, 22.017063, 22.165052, 23.459316, 23.741746, 23.780714, 29.809622, 38.004635, 55.080310], [56.592160, 56.816801, 59.305010, 66.641803, 68.289712, 69.731808, 70.720238, 77.372691, 85.605330, 153.378108], [45.078657, 45.219756, 52.939304, 53.004759, 56.389745, 62.636823, 62.751715, 71.113566, 76.447899, 77.355012], [12.818774, 13.194359, 13.248080, 13.538434, 13.561603, 16.392327, 16.757767, 17.187426, 20.738255, 77.866591], [47.050575, 51.231291, 51.638013, 52.029030, 55.928044, 59.134099, 62.931898, 73.537286, 75.909303, 88.035306], [39.597317, 39.704144, 40.541479, 42.164829, 44.439671, 46.678650, 52.164617, 54.282808, 68.172825, 201.616557]]
### 2
fourier: [[46.239174, 46.505741, 53.337999, 54.229543, 54.714982, 56.116442, 57.923708, 58.380476, 59.393984, 415.676044], [85.481725, 95.155936, 101.528395, 105.961675, 106.099619, 125.997026, 129.994000, 132.187788, 136.302553, 524.487296], [22.614215, 23.024050, 23.026315, 23.264877, 24.193845, 25.472115, 26.487187, 32.512186, 36.318167, 149.852661], [112.085893, 113.058882, 114.978770, 115.108492, 116.853106, 147.496814, 150.061328, 158.300615, 169.075197, 368.899582], [27.328033, 30.436602, 33.066281, 35.727665, 35.968849, 37.979141, 40.955315, 43.788909, 50.457910, 91.577754], [23.411063, 23.653464, 23.927209, 24.091818, 26.074421, 26.625748, 28.422377, 33.494212, 33.597928, 212.112367]]
### 4
fourier: [[33.993637, 34.669129, 42.555624, 42.901192, 44.438008, 46.487367, 49.628679, 55.451624, 58.591774, 161.974738], [92.306699, 92.770646, 97.791959, 101.046758, 103.246508, 128.641437, 130.124497, 139.645990, 142.677160, 487.449181], [108.437204, 112.063461, 117.569708, 120.324665, 122.261401, 153.600587, 155.548988, 166.773468, 168.939676, 569.827573], [67.251258, 69.435446, 70.732807, 72.925403, 76.710284, 92.795302, 94.090272, 100.843640, 107.786409, 273.562253], [76.245529, 80.471349, 84.809426, 85.964908, 86.242863, 107.787662, 111.223241, 115.814839, 120.321752, 418.841926], [68.872308, 87.010155, 87.496623, 97.997580, 100.009259, 104.897205, 105.051970, 106.176787, 106.932450, 674.591078]]
### 6
fourier: [[232.834565, 233.729062, 248.509337, 249.900055, 262.271800, 324.947324, 327.425732, 352.645081, 360.116218, 1231.402086], [45.978684, 50.717067, 51.985074, 52.061404, 58.213535, 61.716111, 67.906111, 71.585104, 74.852852, 283.746512], [229.352054, 230.713732, 245.048540, 246.923376, 258.220353, 320.421987, 323.259695, 347.832098, 355.078367, 1177.601487], [158.097858, 160.947890, 164.796374, 166.215367, 178.495630, 214.554339, 229.094357, 231.064017, 243.649482, 750.437856], [19.465512, 22.035457, 22.052365, 23.412947, 24.481988, 24.732360, 27.721232, 28.588516, 32.075885, 151.141872], [17.746080, 21.413285, 22.044953, 22.526206, 22.584133, 25.418817, 27.413519, 27.764249, 31.000269, 126.013213]]
### 8
fourier: [[291.432747, 292.652579, 312.763421, 314.078757, 327.161941, 406.854672, 412.111583, 443.737316, 452.876669, 1558.623625]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.04112
],
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],
[
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-0.591767
],
[
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],
[
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],
[
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]
],
"network.0.bias": [
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[
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[
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[20.472418, 20.666732, 22.017063, 22.165052, 23.459316, 23.741746, 23.780714, 29.809622, 38.004635, 55.080310], [56.592160, 56.816801, 59.305010, 66.641803, 68.289712, 69.731808, 70.720238, 77.372691, 85.605330, 153.378108], [45.078657, 45.219756, 52.939304, 53.004759, 56.389745, 62.636823, 62.751715, 71.113566, 76.447899, 77.355012], [12.818774, 13.194359, 13.248080, 13.538434, 13.561603, 16.392327, 16.757767, 17.187426, 20.738255, 77.866591], [47.050575, 51.231291, 51.638013, 52.029030, 55.928044, 59.134099, 62.931898, 73.537286, 75.909303, 88.035306], [39.597317, 39.704144, 40.541479, 42.164829, 44.439671, 46.678650, 52.164617, 54.282808, 68.172825, 201.616557]]
### 2
fourier: [[46.239174, 46.505741, 53.337999, 54.229543, 54.714982, 56.116442, 57.923708, 58.380476, 59.393984, 415.676044], [85.481725, 95.155936, 101.528395, 105.961675, 106.099619, 125.997026, 129.994000, 132.187788, 136.302553, 524.487296], [22.614215, 23.024050, 23.026315, 23.264877, 24.193845, 25.472115, 26.487187, 32.512186, 36.318167, 149.852661], [112.085893, 113.058882, 114.978770, 115.108492, 116.853106, 147.496814, 150.061328, 158.300615, 169.075197, 368.899582], [27.328033, 30.436602, 33.066281, 35.727665, 35.968849, 37.979141, 40.955315, 43.788909, 50.457910, 91.577754], [23.411063, 23.653464, 23.927209, 24.091818, 26.074421, 26.625748, 28.422377, 33.494212, 33.597928, 212.112367]]
### 4
fourier: [[33.993637, 34.669129, 42.555624, 42.901192, 44.438008, 46.487367, 49.628679, 55.451624, 58.591774, 161.974738], [92.306699, 92.770646, 97.791959, 101.046758, 103.246508, 128.641437, 130.124497, 139.645990, 142.677160, 487.449181], [108.437204, 112.063461, 117.569708, 120.324665, 122.261401, 153.600587, 155.548988, 166.773468, 168.939676, 569.827573], [67.251258, 69.435446, 70.732807, 72.925403, 76.710284, 92.795302, 94.090272, 100.843640, 107.786409, 273.562253], [76.245529, 80.471349, 84.809426, 85.964908, 86.242863, 107.787662, 111.223241, 115.814839, 120.321752, 418.841926], [68.872308, 87.010155, 87.496623, 97.997580, 100.009259, 104.897205, 105.051970, 106.176787, 106.932450, 674.591078]]
### 6
fourier: [[232.834565, 233.729062, 248.509337, 249.900055, 262.271800, 324.947324, 327.425732, 352.645081, 360.116218, 1231.402086], [45.978684, 50.717067, 51.985074, 52.061404, 58.213535, 61.716111, 67.906111, 71.585104, 74.852852, 283.746512], [229.352054, 230.713732, 245.048540, 246.923376, 258.220353, 320.421987, 323.259695, 347.832098, 355.078367, 1177.601487], [158.097858, 160.947890, 164.796374, 166.215367, 178.495630, 214.554339, 229.094357, 231.064017, 243.649482, 750.437856], [19.465512, 22.035457, 22.052365, 23.412947, 24.481988, 24.732360, 27.721232, 28.588516, 32.075885, 151.141872], [17.746080, 21.413285, 22.044953, 22.526206, 22.584133, 25.418817, 27.413519, 27.764249, 31.000269, 126.013213]]
### 8
fourier: [[291.432747, 292.652579, 312.763421, 314.078757, 327.161941, 406.854672, 412.111583, 443.737316, 452.876669, 1558.623625]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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25.47211490494839, 26.487186683995585, 32.51218633728175, 36.318166825592826, 149.85266123712063]}, "3": {"fourier": [112.08589287646433, 113.05888221580285, 114.97877012554679, 115.1084921108062, 116.85310630146517, 147.49681441264804, 150.06132817592922, 158.300615067201, 169.07519720625106, 368.89958192408085]}, "4": {"fourier": [27.32803318736233, 30.43660198226406, 33.06628102426036, 35.72766509941057, 35.968849295465056, 37.979141125319096, 40.95531476068444, 43.788909022623955, 50.45791011087025, 91.57775434851646]}, "5": {"fourier": [23.411063293481206, 23.65346412862904, 23.92720854244079, 24.091817538658272, 26.074420936862165, 26.625747758896612, 28.422376728352763, 33.49421223433759, 33.59792780403187, 212.1123666279018]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [33.993636644221255, 34.66912914736293, 42.555624292698276, 42.901191926785465, 44.43800830574145, 46.48736669611002, 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166.21536747827568, 178.4956302486348, 214.55433861971633, 229.0943569345666, 231.06401661858624, 243.64948205719486, 750.4378564357758]}, "4": {"fourier": [19.465512000496663, 22.035457067128146, 22.05236497236997, 23.412947041847033, 24.481988231808383, 24.73235986181908, 27.721232426410758, 28.588516002639334, 32.075885084418026, 151.14187242090702]}, "5": {"fourier": [17.746079642560744, 21.413284867601632, 22.044953197934653, 22.526206243690346, 22.584133142522496, 25.418816990474788, 27.413519172581115, 27.76424891399522, 31.000269077428026, 126.01321318745613]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [291.4327473249643, 292.65257911475294, 312.76342116319995, 314.07875689710403, 327.16194134690795, 406.8546722945816, 412.11158300790504, 443.73731642085875, 452.8766688099625, 1558.623625203967]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[0.825672, -0.417737, -0.247475, -0.075743, 0.04112], [1.940922, 0.399043, 0.034707, -0.133002, -1.060922], [1.931584, -0.447204, -0.524279, -0.136334, -0.591767], [0.451803, -0.36272, -0.265328, -0.00224, 0.059598], [1.943673, -0.411706, -0.816438, -0.14896, -0.500418], [-1.431216, 0.929392, 0.593194, 0.380684, 0.423809]], "network.0.bias": [-0.249637, 0.082872, -0.320899, -0.280933, -0.004676, -0.250477], "network.2.weight": [[-1.210564, -0.135879, -0.237892, -1.904991, -0.688256, -0.700604], [-1.53303, 1.139358, 1.005664, -1.04609, 1.048183, 0.185666], [-1.138365, 0.300175, -0.102312, -1.24072, 0.008977, -0.657174], [-1.208265, -0.949371, -1.445493, -1.500172, -0.285379, -0.034497], [1.913271, -0.681155, -0.049487, 1.449179, 0.365141, 0.715807], [-1.026421, 0.113094, 0.003383, -1.276224, -0.106035, -0.777415]], "network.2.bias": [-1.088207, 1.056144, -0.131905, 0.380971, -0.259712, -0.099715], "network.4.weight": [[-0.000534, -0.385411, 0.427785, -0.426889, 0.620001, 0.607849], [-0.291492, 1.005734, -0.028303, 0.465194, -0.597862, 0.146926], [0.284193, 1.187742, 0.170918, 0.337716, -0.684628, 0.116028], [0.356968, 0.720365, 0.260798, 0.710705, -0.640672, 0.082044], [-0.546378, 0.83965, 0.394097, 0.395244, -0.392905, 0.522296], [0.839119, -0.805261, -0.122371, 0.831058, -1.242803, 0.181662]], "network.4.bias": [-0.352991, 0.312145, 0.331561, -0.417322, 0.20875, -1.259747], "network.6.weight": [[-0.799952, 0.743614, 0.764674, -0.018926, 1.031114, 0.472299], [0.690899, -0.339525, -0.332971, 0.768727, -0.390571, -0.26691], [-0.72986, 0.685568, 0.835721, 0.015471, 0.929681, 0.497367], [-0.558984, -0.094397, -0.156998, -1.332891, -0.52051, -1.011829], [0.169992, -0.260255, -0.260785, 0.729366, -0.199143, -0.271209], [0.556629, 0.074879, -0.454785, 0.658865, -0.249651, 0.206092]], "network.6.bias": [0.275611, 0.112065, -0.104451, -0.287915, -0.009764, 0.118272], "network.8.weight": [[-0.684549, 0.408808, -0.581605, 0.123, 0.279832, 0.27868]], "network.8.bias": [-0.230032]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910825371742249, "train_acc": 0.51, "val_loss": 0.6875702738761902, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6448884308338165, "train_acc": 0.57, "val_loss": 0.5929508209228516, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6723161339759827, "train_acc": 0.47, "val_loss": 0.6574187278747559, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6622243821620941, "train_acc": 0.59, "val_loss": 0.632257878780365, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6372913122177124, "train_acc": 0.63, "val_loss": 0.5606892704963684, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5873896479606628, "train_acc": 0.66, "val_loss": 0.5047963261604309, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6064841151237488, "train_acc": 0.68, "val_loss": 0.4603644609451294, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4529440701007843, "train_acc": 0.77, "val_loss": 0.4890885651111603, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4396066665649414, "train_acc": 0.795, "val_loss": 0.41200679540634155, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.45452024042606354, "train_acc": 0.765, "val_loss": 0.39960920810699463, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.41892558336257935, "train_acc": 0.81, "val_loss": 0.462036669254303, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.40035080909729004, "train_acc": 0.865, "val_loss": 0.3583320379257202, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6875702738761902, "final_val_loss": 0.5929508209228516, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6574187278747559, "final_val_loss": 0.3583320379257202, "initial_val_acc": 0.64, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 11}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
222
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.72, "improved_accuracy": 0.98, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3923, "learning_rate": 0.0575589940374877, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.076464,
0.303347,
-0.599388,
0.309602,
-0.583846
]
],
"network.6.bias": [
-0.192759,
-0.219291,
-0.139881,
0.295489,
0.207409
],
"network.8.weight": [
[
-1.310055,
-0.729621,
-0.86465,
-0.693658,
-1.213678
],
[
0.281049,
0.213444,
0.311021,
0.976815,
0.920976
],
[
-1.229629,
-1.417452,
-1.312333,
-0.897314,
-1.122338
],
[
-1.450744,
-1.396241,
-1.125195,
-0.756119,
-0.668347
],
[
-0.975805,
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-0.778051,
-1.439646
]
],
"network.8.bias": [
1.009017,
0.024006,
0.89606,
0.906564,
0.589655
],
"network.10.weight": [
[
-1.038007,
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-1.245112,
-1.341231,
-0.749353
]
],
"network.10.bias": [
-0.093978
]
}
## Activation Signature
### 0
fourier: [[18.333101, 19.481065, 19.656525, 19.922261, 21.142255, 21.485072, 22.960691, 24.756489, 26.673920, 189.091522], [16.195788, 18.231615, 18.869334, 19.715967, 21.141172, 21.352785, 21.399435, 24.661874, 25.279939, 202.648334], [16.963716, 17.009845, 18.115256, 19.316215, 19.407649, 19.861328, 24.007553, 24.897500, 27.080484, 82.010428], [17.609921, 17.801488, 19.732705, 20.716085, 20.930327, 21.258768, 25.571364, 26.834890, 28.176346, 42.472988], [27.156356, 28.918420, 29.401034, 29.708710, 29.722018, 30.677330, 33.127422, 34.097664, 42.140391, 47.972775]]
### 2
fourier: [[6.992649, 7.066512, 7.177230, 7.719700, 8.692945, 9.786053, 9.858934, 11.573127, 11.996740, 15.717302], [4.115707, 4.562147, 4.722078, 4.801031, 4.814623, 4.989945, 5.351451, 5.405585, 5.521793, 5.935522], [10.598596, 12.255377, 13.268299, 13.275476, 13.351953, 13.510946, 13.857264, 15.225436, 15.236124, 51.055033], [21.236002, 24.002843, 24.591532, 25.585136, 26.144554, 26.259147, 26.636816, 28.364296, 28.967242, 46.976958], [23.086421, 25.740113, 25.775987, 26.518240, 26.924978, 29.487734, 29.747163, 30.417765, 32.334626, 50.940459]]
### 4
fourier: [[3.935833, 4.015148, 4.287100, 4.425584, 4.718666, 4.760100, 5.201887, 6.020264, 7.243339, 78.691153], [16.861122, 17.586398, 17.969006, 18.815071, 19.302886, 19.349835, 19.443654, 23.598988, 24.199936, 24.244589], [5.466418, 5.489922, 5.646587, 5.716726, 6.628399, 7.074424, 7.855527, 9.468217, 9.720431, 62.506882], [13.097270, 13.723337, 14.355799, 14.467117, 14.887754, 15.032861, 15.164391, 16.499659, 17.414446, 19.152940], [12.429814, 13.284867, 13.417502, 13.477450, 14.342619, 14.523073, 15.505649, 16.489862, 17.614390, 18.420005]]
### 6
fourier: [[7.038190, 7.409204, 7.707587, 8.040413, 8.217040, 8.265247, 8.768884, 9.489738, 9.867582, 10.446346], [5.914851, 6.120781, 6.276694, 6.484184, 6.824520, 6.918002, 7.476002, 7.761340, 8.241264, 8.765189], [12.135394, 12.559039, 13.007419, 13.207701, 13.225519, 13.639056, 16.592469, 16.735465, 18.428903, 32.143630], [18.459880, 19.200524, 19.966376, 20.415199, 20.897350, 20.965423, 25.217131, 25.339605, 27.891676, 88.141691], [8.945612, 9.083025, 9.277580, 9.871637, 9.935322, 10.657784, 11.445605, 11.756681, 12.078538, 28.378943]]
### 8
fourier: [[37.140156, 38.323287, 39.181339, 39.796038, 40.112245, 41.680768, 52.290046, 52.833214, 57.392800, 71.536444], [28.061073, 29.424386, 29.659851, 30.224375, 30.555837, 31.668165, 39.606841, 39.946317, 42.987063, 140.221849], [46.484016, 47.430116, 49.000964, 49.682988, 49.950178, 52.005679, 65.435062, 66.235212, 72.080948, 119.553561], [40.169509, 40.773535, 42.323520, 42.869436, 43.042242, 44.870753, 56.552433, 57.298805, 62.416790, 86.663475], [46.483631, 47.468597, 49.006836, 49.696016, 49.987689, 52.017483, 65.401348, 66.170353, 72.077118, 147.997259]]
### 10
fourier: [[52.416024, 52.918903, 55.275941, 58.965213, 59.434919, 61.932255, 66.150476, 67.360773, 73.679050, 243.248428]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.314003,
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],
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],
[
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0.063582,
0.53864
],
[
0.425752,
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-0.029783,
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],
[
-0.763913,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
0.273377,
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],
[
-0.966501,
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],
[
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]
],
"network.2.bias": [
-0.039851,
0.070536,
-0.081881,
0.673107,
0.675583
],
"network.4.weight": [
[
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-0.594404
],
[
-0.4699,
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0.866401,
1.051996
],
[
0.164881,
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],
[
-0.296981,
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0.306222
],
[
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]
],
"network.4.bias": [
-0.533866,
0.130314,
-0.337051,
0.295577,
0.29677
],
"network.6.weight": [
[
-0.227076,
0.450946,
-0.880503,
0.051462,
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],
[
-0.378789,
0.259483,
-0.075014,
0.252899,
-0.299102
],
[
-0.318746,
0.790905,
-0.064837,
0.3148,
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],
[
-0.348351,
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],
[
0.076464,
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]
],
"network.6.bias": [
-0.192759,
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0.207409
],
"network.8.weight": [
[
-1.310055,
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-1.213678
],
[
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0.311021,
0.976815,
0.920976
],
[
-1.229629,
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[
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[
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]
],
"network.8.bias": [
1.009017,
0.024006,
0.89606,
0.906564,
0.589655
],
"network.10.weight": [
[
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-1.341231,
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]
],
"network.10.bias": [
-0.093978
]
}
## Activation Signature
### 0
fourier: [[18.333101, 19.481065, 19.656525, 19.922261, 21.142255, 21.485072, 22.960691, 24.756489, 26.673920, 189.091522], [16.195788, 18.231615, 18.869334, 19.715967, 21.141172, 21.352785, 21.399435, 24.661874, 25.279939, 202.648334], [16.963716, 17.009845, 18.115256, 19.316215, 19.407649, 19.861328, 24.007553, 24.897500, 27.080484, 82.010428], [17.609921, 17.801488, 19.732705, 20.716085, 20.930327, 21.258768, 25.571364, 26.834890, 28.176346, 42.472988], [27.156356, 28.918420, 29.401034, 29.708710, 29.722018, 30.677330, 33.127422, 34.097664, 42.140391, 47.972775]]
### 2
fourier: [[6.992649, 7.066512, 7.177230, 7.719700, 8.692945, 9.786053, 9.858934, 11.573127, 11.996740, 15.717302], [4.115707, 4.562147, 4.722078, 4.801031, 4.814623, 4.989945, 5.351451, 5.405585, 5.521793, 5.935522], [10.598596, 12.255377, 13.268299, 13.275476, 13.351953, 13.510946, 13.857264, 15.225436, 15.236124, 51.055033], [21.236002, 24.002843, 24.591532, 25.585136, 26.144554, 26.259147, 26.636816, 28.364296, 28.967242, 46.976958], [23.086421, 25.740113, 25.775987, 26.518240, 26.924978, 29.487734, 29.747163, 30.417765, 32.334626, 50.940459]]
### 4
fourier: [[3.935833, 4.015148, 4.287100, 4.425584, 4.718666, 4.760100, 5.201887, 6.020264, 7.243339, 78.691153], [16.861122, 17.586398, 17.969006, 18.815071, 19.302886, 19.349835, 19.443654, 23.598988, 24.199936, 24.244589], [5.466418, 5.489922, 5.646587, 5.716726, 6.628399, 7.074424, 7.855527, 9.468217, 9.720431, 62.506882], [13.097270, 13.723337, 14.355799, 14.467117, 14.887754, 15.032861, 15.164391, 16.499659, 17.414446, 19.152940], [12.429814, 13.284867, 13.417502, 13.477450, 14.342619, 14.523073, 15.505649, 16.489862, 17.614390, 18.420005]]
### 6
fourier: [[7.038190, 7.409204, 7.707587, 8.040413, 8.217040, 8.265247, 8.768884, 9.489738, 9.867582, 10.446346], [5.914851, 6.120781, 6.276694, 6.484184, 6.824520, 6.918002, 7.476002, 7.761340, 8.241264, 8.765189], [12.135394, 12.559039, 13.007419, 13.207701, 13.225519, 13.639056, 16.592469, 16.735465, 18.428903, 32.143630], [18.459880, 19.200524, 19.966376, 20.415199, 20.897350, 20.965423, 25.217131, 25.339605, 27.891676, 88.141691], [8.945612, 9.083025, 9.277580, 9.871637, 9.935322, 10.657784, 11.445605, 11.756681, 12.078538, 28.378943]]
### 8
fourier: [[37.140156, 38.323287, 39.181339, 39.796038, 40.112245, 41.680768, 52.290046, 52.833214, 57.392800, 71.536444], [28.061073, 29.424386, 29.659851, 30.224375, 30.555837, 31.668165, 39.606841, 39.946317, 42.987063, 140.221849], [46.484016, 47.430116, 49.000964, 49.682988, 49.950178, 52.005679, 65.435062, 66.235212, 72.080948, 119.553561], [40.169509, 40.773535, 42.323520, 42.869436, 43.042242, 44.870753, 56.552433, 57.298805, 62.416790, 86.663475], [46.483631, 47.468597, 49.006836, 49.696016, 49.987689, 52.017483, 65.401348, 66.170353, 72.077118, 147.997259]]
### 10
fourier: [[52.416024, 52.918903, 55.275941, 58.965213, 59.434919, 61.932255, 66.150476, 67.360773, 73.679050, 243.248428]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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26.144553661716646, 26.259146674615618, 26.63681603959635, 28.364295984294575, 28.967242173865632, 46.97695806622505]}, "4": {"fourier": [23.086421466678694, 25.74011332787598, 25.775986984161918, 26.51823996565017, 26.92497779466384, 29.487734459577794, 29.74716318382346, 30.417764958187757, 32.33462625758171, 50.9404591023922]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [3.9358328727869774, 4.0151484674252576, 4.287100374855643, 4.425583994192001, 4.71866556454479, 4.760100064536165, 5.201886802334857, 6.020263580106873, 7.243338556854832, 78.6911526620388]}, "1": {"fourier": [16.861122098139994, 17.58639806227168, 17.969006119522444, 18.815071080650917, 19.302886409687606, 19.349834657283665, 19.443653751474123, 23.598987756055575, 24.19993575609575, 24.24458864655789]}, "2": {"fourier": [5.466418266654046, 5.489921829627524, 5.64658718045072, 5.716725850894309, 6.6283987285370065, 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52.83321351974218, 57.392799972905465, 71.53644359111786]}, "1": {"fourier": [28.06107258872957, 29.42438552840451, 29.65985058944068, 30.22437480708323, 30.55583723721319, 31.668164798250203, 39.606841158878716, 39.94631669184324, 42.987063273191275, 140.22184859588742]}, "2": {"fourier": [46.48401573149284, 47.430116388411406, 49.00096351159809, 49.682987664206685, 49.95017827585532, 52.00567910977521, 65.4350618659133, 66.2352118804652, 72.08094847293151, 119.55356121063232]}, "3": {"fourier": [40.16950899771213, 40.77353508336317, 42.32351966544605, 42.86943640868209, 43.0422423537772, 44.87075261240053, 56.55243284349018, 57.29880464667015, 62.416790096267235, 86.66347527503967]}, "4": {"fourier": [46.48363053098992, 47.46859666979562, 49.006835669829215, 49.6960159683171, 49.98768868028275, 52.01748349345413, 65.40134806876372, 66.1703531054337, 72.07711832968604, 147.99725884199142]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [52.41602427975378, 52.918902972174806, 55.27594109467297, 58.96521264419183, 59.43491880766743, 61.9322554032575, 66.15047628011627, 67.36077269692775, 73.67904995986618, 243.24842804670334]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.314003, -0.168879, -0.359171, -0.313145, 0.337535], [0.076055, -0.429451, -0.297004, -0.102993, -0.358999], [0.362424, 0.105116, -0.349604, 0.063582, 0.53864], [0.425752, -0.416093, -0.029783, 0.422508, -0.689568], [-0.763913, -0.421068, -0.043056, 0.359475, 0.504813]], "network.0.bias": [-0.397026, -0.279705, 0.198279, -0.236896, -0.118642], "network.2.weight": [[-0.362408, -0.191012, -0.315179, 0.643708, 0.537199], [0.205555, 0.891892, -0.076503, 0.487687, -0.095734], [0.273377, 0.886829, 0.338448, 0.732922, 0.486947], [-0.966501, -0.488966, -0.529416, -1.138754, -1.133678], [-0.253354, -1.148979, -0.533821, -1.01058, -1.321436]], "network.2.bias": [-0.039851, 0.070536, -0.081881, 0.673107, 0.675583], "network.4.weight": [[0.204646, -0.265512, -0.232395, -0.316537, -0.594404], [-0.4699, -0.429452, -0.637976, 0.866401, 1.051996], [0.164881, -0.1776, -0.119599, -0.721228, -0.481651], [-0.296981, -0.005387, -0.860999, 0.542666, 0.306222], [0.273186, 0.088154, 0.374398, -0.990688, -0.694914]], "network.4.bias": [-0.533866, 0.130314, -0.337051, 0.295577, 0.29677], "network.6.weight": [[-0.227076, 0.450946, -0.880503, 0.051462, -0.345441], [-0.378789, 0.259483, -0.075014, 0.252899, -0.299102], [-0.318746, 0.790905, -0.064837, 0.3148, -0.275957], [-0.348351, 1.088858, -0.31135, 0.584705, -0.539863], [0.076464, 0.303347, -0.599388, 0.309602, -0.583846]], "network.6.bias": [-0.192759, -0.219291, -0.139881, 0.295489, 0.207409], "network.8.weight": [[-1.310055, -0.729621, -0.86465, -0.693658, -1.213678], [0.281049, 0.213444, 0.311021, 0.976815, 0.920976], [-1.229629, -1.417452, -1.312333, -0.897314, -1.122338], [-1.450744, -1.396241, -1.125195, -0.756119, -0.668347], [-0.975805, -1.302782, -1.468833, -0.778051, -1.439646]], "network.8.bias": [1.009017, 0.024006, 0.89606, 0.906564, 0.589655], "network.10.weight": [[-1.038007, 0.480981, -1.245112, -1.341231, -0.749353]], "network.10.bias": [-0.093978]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7243840992450714, "train_acc": 0.435, "val_loss": 0.6935688853263855, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6868405342102051, "train_acc": 0.495, "val_loss": 0.6849511861801147, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6817575395107269, "train_acc": 0.565, "val_loss": 0.6719648838043213, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6485804617404938, "train_acc": 0.565, "val_loss": 0.5720250010490417, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5578218102455139, "train_acc": 0.73, "val_loss": 0.44004231691360474, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4008994996547699, "train_acc": 0.885, "val_loss": 0.31915777921676636, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3123164474964142, "train_acc": 0.895, "val_loss": 0.24453651905059814, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.29175664484500885, "train_acc": 0.91, "val_loss": 0.225168377161026, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2657950893044472, "train_acc": 0.9, "val_loss": 0.2198164016008377, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.23240848630666733, "train_acc": 0.915, "val_loss": 0.19986768066883087, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.21322912722826004, "train_acc": 0.915, "val_loss": 0.17545868456363678, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2062600553035736, "train_acc": 0.925, "val_loss": 0.13702303171157837, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.19762232899665833, "train_acc": 0.925, "val_loss": 0.10476797074079514, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2049046829342842, "train_acc": 0.93, "val_loss": 0.10753247886896133, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6935688853263855, "final_val_loss": 0.5720250010490417, "initial_val_acc": 0.44, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.44004231691360474, "final_val_loss": 0.10753247886896133, "initial_val_acc": 0.88, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 12}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
223
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.84, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4496, "learning_rate": 0.021019725897398877, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
0.674208,
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0.063762
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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[
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[
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[
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[
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[
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],
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[19.486127, 19.931262, 20.631528, 21.113905, 21.692365, 25.062807, 25.706551, 29.863684, 31.448221, 123.199406], [17.797338, 18.082909, 18.440325, 20.633181, 23.067404, 24.908150, 25.606836, 27.607405, 27.966862, 99.341634], [18.973717, 19.618645, 20.069752, 20.353293, 24.809188, 25.374405, 25.774226, 26.814089, 29.783573, 180.527212], [13.519839, 13.894556, 13.940698, 16.194215, 17.716518, 18.670283, 19.513378, 20.033315, 20.943628, 166.083068], [16.924897, 17.262521, 18.902798, 19.431661, 21.518970, 22.443162, 22.519717, 23.132345, 23.222325, 192.335813], [8.832207, 9.789018, 10.759154, 10.832167, 12.014766, 12.485666, 14.089997, 14.139813, 16.976033, 117.027827]]
### 2
fourier: [[5.071353, 5.327053, 5.565490, 5.577708, 5.646340, 5.788343, 7.503265, 7.678261, 8.893654, 20.055367], [3.266606, 3.571035, 3.947935, 4.003259, 4.047542, 4.084037, 4.440093, 4.756185, 7.603905, 8.470483], [7.230680, 7.408589, 7.535360, 8.286522, 9.503771, 10.114602, 10.125047, 10.255511, 10.541252, 91.286649], [7.552804, 7.813782, 8.488176, 9.220649, 11.242740, 11.250670, 11.477654, 12.817786, 15.124891, 88.662192], [18.426249, 18.914475, 20.932213, 22.829959, 23.320881, 23.465288, 23.536845, 26.005806, 26.665134, 181.607405], [6.615455, 6.801579, 7.291451, 7.632551, 7.980865, 9.614851, 9.924009, 10.599187, 11.066029, 35.232560]]
### 4
fourier: [[5.708349, 5.814733, 5.896794, 5.950456, 6.581808, 6.620862, 6.832375, 7.252986, 7.775313, 66.541841], [4.786252, 4.836114, 4.840514, 4.875228, 5.574619, 5.668793, 6.550435, 8.449302, 8.572707, 13.105445], [13.684503, 13.732540, 14.905873, 16.742898, 17.196236, 17.361950, 17.819330, 19.267553, 19.533096, 150.472931], [7.168945, 7.454987, 7.651132, 8.680009, 8.779887, 8.918073, 8.927090, 9.809529, 10.342556, 48.626705], [9.724777, 9.935635, 10.690316, 11.370773, 11.390880, 11.546059, 12.199004, 12.280525, 13.318809, 77.318635], [12.292034, 14.258317, 14.456391, 14.841467, 15.595207, 15.640174, 15.961375, 16.393977, 17.180067, 111.917854]]
### 6
fourier: [[13.822764, 15.718621, 15.739165, 15.906993, 16.088906, 17.285397, 17.620464, 17.851771, 18.927269, 129.461545], [8.667842, 8.767109, 8.815897, 9.438457, 9.957732, 10.049049, 10.554010, 10.779437, 11.217076, 89.087791], [1.548358, 1.603951, 1.683127, 2.074872, 2.150053, 2.176140, 2.226059, 2.278417, 2.352462, 29.173888], [17.548161, 17.990196, 18.203966, 19.922108, 20.107064, 20.643395, 20.932705, 21.775140, 22.868688, 133.176004], [7.968303, 8.061620, 8.338521, 8.904915, 9.790105, 9.831477, 10.448364, 10.817974, 11.173833, 82.042028], [2.402558, 2.413539, 2.534078, 2.782980, 2.882945, 2.936146, 3.224420, 3.278609, 3.283609, 48.758712]]
### 8
fourier: [[14.896510, 16.136517, 16.318091, 17.108906, 17.665330, 18.145383, 18.189039, 18.875938, 19.954555, 105.736586]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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0.236625,
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[
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0.426537,
0.048543,
0.082787
],
[
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-0.400776,
-0.024212,
0.011889
],
[
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[
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],
"network.0.bias": [
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[
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[
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0.127039,
-0.277343
],
[
0.204947,
0.588146,
-0.17943,
-0.072723,
-0.164849,
-0.29948
],
[
0.674208,
0.276062,
0.283357,
0.145207,
-0.011165,
0.063762
],
[
0.401101,
-0.122327,
-0.052089,
0.08611,
0.462869,
-0.39938
]
],
"network.2.bias": [
0.024968,
0.1201,
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0.131623,
0.066945
],
"network.4.weight": [
[
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],
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],
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],
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0.081126,
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],
"network.4.bias": [
-0.239886,
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[
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[
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}
## Activation Signature
### 0
fourier: [[19.486127, 19.931262, 20.631528, 21.113905, 21.692365, 25.062807, 25.706551, 29.863684, 31.448221, 123.199406], [17.797338, 18.082909, 18.440325, 20.633181, 23.067404, 24.908150, 25.606836, 27.607405, 27.966862, 99.341634], [18.973717, 19.618645, 20.069752, 20.353293, 24.809188, 25.374405, 25.774226, 26.814089, 29.783573, 180.527212], [13.519839, 13.894556, 13.940698, 16.194215, 17.716518, 18.670283, 19.513378, 20.033315, 20.943628, 166.083068], [16.924897, 17.262521, 18.902798, 19.431661, 21.518970, 22.443162, 22.519717, 23.132345, 23.222325, 192.335813], [8.832207, 9.789018, 10.759154, 10.832167, 12.014766, 12.485666, 14.089997, 14.139813, 16.976033, 117.027827]]
### 2
fourier: [[5.071353, 5.327053, 5.565490, 5.577708, 5.646340, 5.788343, 7.503265, 7.678261, 8.893654, 20.055367], [3.266606, 3.571035, 3.947935, 4.003259, 4.047542, 4.084037, 4.440093, 4.756185, 7.603905, 8.470483], [7.230680, 7.408589, 7.535360, 8.286522, 9.503771, 10.114602, 10.125047, 10.255511, 10.541252, 91.286649], [7.552804, 7.813782, 8.488176, 9.220649, 11.242740, 11.250670, 11.477654, 12.817786, 15.124891, 88.662192], [18.426249, 18.914475, 20.932213, 22.829959, 23.320881, 23.465288, 23.536845, 26.005806, 26.665134, 181.607405], [6.615455, 6.801579, 7.291451, 7.632551, 7.980865, 9.614851, 9.924009, 10.599187, 11.066029, 35.232560]]
### 4
fourier: [[5.708349, 5.814733, 5.896794, 5.950456, 6.581808, 6.620862, 6.832375, 7.252986, 7.775313, 66.541841], [4.786252, 4.836114, 4.840514, 4.875228, 5.574619, 5.668793, 6.550435, 8.449302, 8.572707, 13.105445], [13.684503, 13.732540, 14.905873, 16.742898, 17.196236, 17.361950, 17.819330, 19.267553, 19.533096, 150.472931], [7.168945, 7.454987, 7.651132, 8.680009, 8.779887, 8.918073, 8.927090, 9.809529, 10.342556, 48.626705], [9.724777, 9.935635, 10.690316, 11.370773, 11.390880, 11.546059, 12.199004, 12.280525, 13.318809, 77.318635], [12.292034, 14.258317, 14.456391, 14.841467, 15.595207, 15.640174, 15.961375, 16.393977, 17.180067, 111.917854]]
### 6
fourier: [[13.822764, 15.718621, 15.739165, 15.906993, 16.088906, 17.285397, 17.620464, 17.851771, 18.927269, 129.461545], [8.667842, 8.767109, 8.815897, 9.438457, 9.957732, 10.049049, 10.554010, 10.779437, 11.217076, 89.087791], [1.548358, 1.603951, 1.683127, 2.074872, 2.150053, 2.176140, 2.226059, 2.278417, 2.352462, 29.173888], [17.548161, 17.990196, 18.203966, 19.922108, 20.107064, 20.643395, 20.932705, 21.775140, 22.868688, 133.176004], [7.968303, 8.061620, 8.338521, 8.904915, 9.790105, 9.831477, 10.448364, 10.817974, 11.173833, 82.042028], [2.402558, 2.413539, 2.534078, 2.782980, 2.882945, 2.936146, 3.224420, 3.278609, 3.283609, 48.758712]]
### 8
fourier: [[14.896510, 16.136517, 16.318091, 17.108906, 17.665330, 18.145383, 18.189039, 18.875938, 19.954555, 105.736586]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.599237, -0.04194, 0.356481, 0.060512, -0.314631], [-0.138466, 0.656682, 0.056132, 0.236625, -0.187607], [-0.030499, 0.578375, 0.426537, 0.048543, 0.082787], [-0.25796, -0.032236, -0.400776, -0.024212, 0.011889], [-0.083048, -0.012918, -0.126534, -0.479689, -0.346123], [-0.053206, -0.270869, -0.121484, 0.086822, -0.251046]], "network.0.bias": [0.213221, -0.313813, -0.107305, -0.591176, -0.29031, -0.363309], "network.2.weight": [[-0.130108, 0.341338, -0.016577, 0.203342, 0.500429, -0.150946], [-0.205328, -0.333727, 0.337581, 0.227485, 0.04994, 0.214298], [0.03859, 0.080701, 0.307594, -0.441708, 0.127039, -0.277343], [0.204947, 0.588146, -0.17943, -0.072723, -0.164849, -0.29948], [0.674208, 0.276062, 0.283357, 0.145207, -0.011165, 0.063762], [0.401101, -0.122327, -0.052089, 0.08611, 0.462869, -0.39938]], "network.2.bias": [0.024968, 0.1201, 0.238776, 0.327916, 0.131623, 0.066945], "network.4.weight": [[0.005229, 0.269905, 0.085088, -0.139299, -0.304447, 0.277849], [0.319791, -0.190327, 0.271038, 0.273688, -0.122076, -0.430035], [0.057323, 0.012257, 0.082619, 0.321351, 0.520532, 0.293107], [0.49665, -0.035991, -0.383515, 0.031105, -0.366181, 0.328322], [0.081126, -0.468109, 0.19829, 0.028905, 0.394745, 0.000365], [0.208223, -0.280469, -0.003371, 0.47207, 0.372799, 0.314832]], "network.4.bias": [-0.239886, -0.024111, 0.077278, 0.284864, -0.111799, -0.116568], "network.6.weight": [[0.237502, 0.128088, 0.355014, 0.072228, 0.168809, 0.560051], [0.18756, -0.280103, -0.029128, -0.348347, -0.391426, -0.289829], [0.242483, 0.216081, 0.139458, 0.20708, 0.133106, -0.153324], [-0.250817, 0.522005, 0.402398, 0.308967, 0.373998, 0.529489], [-0.276235, 0.330795, -0.03667, 0.153819, 0.088956, 0.552275], [-0.066613, 0.099485, -0.029966, -0.274422, -0.039846, -0.145122]], "network.6.bias": [-0.027837, -0.172632, 0.113964, -0.2983, 0.131218, -0.292993], "network.8.weight": [[-0.51031, -0.098098, 0.04267, -0.379097, -0.1671, -0.181451]], "network.8.bias": [0.260651]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6966432631015778, "train_acc": 0.475, "val_loss": 0.6949471235275269, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6713093221187592, "train_acc": 0.585, "val_loss": 0.7182596325874329, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6712929010391235, "train_acc": 0.575, "val_loss": 0.6968947052955627, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6338545382022858, "train_acc": 0.575, "val_loss": 0.6611941456794739, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6053630709648132, "train_acc": 0.575, "val_loss": 0.6304641962051392, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5723505318164825, "train_acc": 0.605, "val_loss": 0.5705797672271729, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.503135621547699, "train_acc": 0.85, "val_loss": 0.5216272473335266, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4371112287044525, "train_acc": 0.865, "val_loss": 0.4890712797641754, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.40280047059059143, "train_acc": 0.89, "val_loss": 0.4747796952724457, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3678935170173645, "train_acc": 0.915, "val_loss": 0.4570094347000122, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.34834325313568115, "train_acc": 0.905, "val_loss": 0.4432115852832794, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3279987573623657, "train_acc": 0.905, "val_loss": 0.4441044330596924, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3042193502187729, "train_acc": 0.91, "val_loss": 0.45032936334609985, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.29293984174728394, "train_acc": 0.905, "val_loss": 0.44690147042274475, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 5, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6949471235275269, "final_val_loss": 0.6304641962051392, "initial_val_acc": 0.46, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5705797672271729, "final_val_loss": 0.44690147042274475, "initial_val_acc": 0.74, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.39999999999999997, "first_improvement_epoch": 4}}
|
224
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.68, "improved_accuracy": 1.0, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2016, "learning_rate": 0.06836535400474647, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[40.142303, 44.886265, 44.931792, 49.688958, 52.587294, 55.810609, 57.918164, 61.592819, 62.817262, 192.869361], [38.095487, 38.238550, 38.649815, 39.146859, 39.891434, 41.626438, 43.982065, 50.774408, 51.999550, 199.786707], [25.108849, 26.155114, 27.376093, 28.267719, 30.720749, 31.997446, 33.739323, 37.196802, 40.126082, 211.916453], [35.203142, 36.877692, 38.160478, 38.264383, 40.013608, 40.709635, 43.447041, 57.427914, 58.060415, 195.339891], [25.037796, 25.103276, 26.706555, 28.227674, 28.240037, 30.829479, 32.784745, 33.958952, 39.207472, 148.312765], [28.496269, 28.989816, 29.590183, 29.614831, 29.940708, 30.311128, 36.038858, 39.332391, 40.493690, 50.601328]]
### 2
fourier: [[30.854348, 32.976254, 40.421824, 40.682803, 43.051848, 47.649291, 50.128696, 51.927160, 55.084398, 135.465193], [42.757273, 46.232000, 47.383489, 47.867901, 49.045622, 55.377062, 62.074389, 64.170702, 66.086413, 201.984009], [25.725773, 29.643947, 30.074774, 32.435784, 33.033688, 37.937611, 39.966573, 40.609998, 42.133625, 171.050621], [21.361036, 22.143921, 25.463936, 26.055786, 28.732000, 29.035518, 31.837158, 34.130087, 34.924215, 43.612956], [29.977740, 34.652453, 38.018955, 38.729599, 41.215410, 46.225054, 48.567676, 49.964904, 53.712565, 138.995258], [18.662848, 19.922047, 21.079822, 21.411526, 24.166378, 24.472007, 24.920152, 26.497764, 28.365108, 98.949938]]
### 4
fourier: [[22.935267, 23.130807, 24.050631, 26.408334, 26.455132, 26.831416, 27.361543, 29.174456, 30.071198, 100.872707], [25.187887, 28.104096, 29.042232, 29.963085, 30.158266, 30.719954, 38.137026, 39.550078, 40.996885, 158.025365], [49.952092, 50.312594, 51.369046, 57.852281, 61.276550, 64.091515, 67.968838, 75.447227, 77.195673, 277.298120], [15.707199, 16.499582, 17.225061, 18.432664, 21.395964, 21.445810, 22.970476, 23.287558, 23.504551, 27.344546], [27.789851, 28.466865, 28.470681, 28.519803, 30.658698, 32.868548, 32.881391, 32.921670, 35.845054, 130.086534], [21.856699, 21.986335, 22.491377, 23.418233, 23.808607, 26.701473, 27.433989, 28.579427, 31.967189, 117.043733]]
### 6
fourier: [[77.504180, 78.831533, 83.096429, 89.455650, 91.097378, 91.954250, 104.023782, 109.912348, 113.334332, 414.293939], [44.384571, 45.665858, 47.747012, 48.477459, 50.167670, 52.033486, 58.961788, 62.186755, 62.341473, 209.318533], [51.820873, 53.420966, 54.026822, 61.446486, 63.409542, 63.546495, 70.574826, 74.928859, 77.557787, 303.266986], [75.152849, 77.176322, 77.856745, 91.140378, 92.125822, 93.265438, 103.281663, 110.702719, 113.456981, 427.219637], [50.560179, 50.929390, 51.823953, 58.464338, 62.074307, 62.364614, 67.293548, 71.175702, 75.379787, 256.867285], [64.060238, 66.250138, 68.635082, 75.899376, 76.261880, 78.328960, 86.652340, 91.254756, 94.372608, 352.865887]]
### 8
fourier: [[19.114350, 19.126128, 20.450247, 22.020488, 22.371531, 23.681093, 26.960649, 28.646434, 29.534812, 94.846506], [130.524768, 130.910944, 136.815641, 149.230599, 158.599041, 159.029177, 174.634306, 184.871389, 195.162902, 725.079636], [107.604533, 109.823481, 116.443879, 126.719134, 127.779597, 129.760626, 147.445665, 156.497414, 160.235339, 552.390811], [108.914697, 110.318466, 115.058948, 125.965315, 132.144347, 133.253311, 146.845777, 155.139355, 163.035527, 588.791765], [100.867734, 101.983122, 105.900274, 114.432619, 123.855953, 124.420775, 134.129031, 141.476700, 151.541077, 586.150620], [210.154771, 213.332398, 224.358845, 245.963184, 254.014771, 256.625526, 286.188616, 303.368569, 315.933895, 1083.282270]]
### 10
fourier: [[144.945534, 145.824962, 153.045000, 165.121696, 176.124500, 176.961804, 193.988774, 205.284626, 217.176800, 784.659607], [126.833216, 129.905574, 135.027914, 148.888806, 154.320795, 156.404432, 173.198992, 183.801336, 191.366653, 668.042151], [176.165671, 178.240040, 186.236573, 202.154653, 214.455771, 215.962891, 236.879394, 250.882130, 264.574303, 946.314739], [111.089807, 113.633443, 118.391130, 129.271265, 135.380498, 136.761063, 151.020403, 160.448481, 167.908376, 593.281662], [127.741411, 128.378823, 135.603494, 144.559741, 154.860405, 155.620036, 170.523250, 180.289149, 191.325590, 697.825612], [153.478604, 155.850196, 158.751650, 175.133165, 181.162110, 187.601974, 211.940353, 223.472903, 228.505793, 654.428610]]
### 12
fourier: [[226.940202, 235.583155, 244.151540, 272.830203, 275.243990, 280.631952, 315.943029, 337.505542, 344.959166, 1145.999258]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[40.142303, 44.886265, 44.931792, 49.688958, 52.587294, 55.810609, 57.918164, 61.592819, 62.817262, 192.869361], [38.095487, 38.238550, 38.649815, 39.146859, 39.891434, 41.626438, 43.982065, 50.774408, 51.999550, 199.786707], [25.108849, 26.155114, 27.376093, 28.267719, 30.720749, 31.997446, 33.739323, 37.196802, 40.126082, 211.916453], [35.203142, 36.877692, 38.160478, 38.264383, 40.013608, 40.709635, 43.447041, 57.427914, 58.060415, 195.339891], [25.037796, 25.103276, 26.706555, 28.227674, 28.240037, 30.829479, 32.784745, 33.958952, 39.207472, 148.312765], [28.496269, 28.989816, 29.590183, 29.614831, 29.940708, 30.311128, 36.038858, 39.332391, 40.493690, 50.601328]]
### 2
fourier: [[30.854348, 32.976254, 40.421824, 40.682803, 43.051848, 47.649291, 50.128696, 51.927160, 55.084398, 135.465193], [42.757273, 46.232000, 47.383489, 47.867901, 49.045622, 55.377062, 62.074389, 64.170702, 66.086413, 201.984009], [25.725773, 29.643947, 30.074774, 32.435784, 33.033688, 37.937611, 39.966573, 40.609998, 42.133625, 171.050621], [21.361036, 22.143921, 25.463936, 26.055786, 28.732000, 29.035518, 31.837158, 34.130087, 34.924215, 43.612956], [29.977740, 34.652453, 38.018955, 38.729599, 41.215410, 46.225054, 48.567676, 49.964904, 53.712565, 138.995258], [18.662848, 19.922047, 21.079822, 21.411526, 24.166378, 24.472007, 24.920152, 26.497764, 28.365108, 98.949938]]
### 4
fourier: [[22.935267, 23.130807, 24.050631, 26.408334, 26.455132, 26.831416, 27.361543, 29.174456, 30.071198, 100.872707], [25.187887, 28.104096, 29.042232, 29.963085, 30.158266, 30.719954, 38.137026, 39.550078, 40.996885, 158.025365], [49.952092, 50.312594, 51.369046, 57.852281, 61.276550, 64.091515, 67.968838, 75.447227, 77.195673, 277.298120], [15.707199, 16.499582, 17.225061, 18.432664, 21.395964, 21.445810, 22.970476, 23.287558, 23.504551, 27.344546], [27.789851, 28.466865, 28.470681, 28.519803, 30.658698, 32.868548, 32.881391, 32.921670, 35.845054, 130.086534], [21.856699, 21.986335, 22.491377, 23.418233, 23.808607, 26.701473, 27.433989, 28.579427, 31.967189, 117.043733]]
### 6
fourier: [[77.504180, 78.831533, 83.096429, 89.455650, 91.097378, 91.954250, 104.023782, 109.912348, 113.334332, 414.293939], [44.384571, 45.665858, 47.747012, 48.477459, 50.167670, 52.033486, 58.961788, 62.186755, 62.341473, 209.318533], [51.820873, 53.420966, 54.026822, 61.446486, 63.409542, 63.546495, 70.574826, 74.928859, 77.557787, 303.266986], [75.152849, 77.176322, 77.856745, 91.140378, 92.125822, 93.265438, 103.281663, 110.702719, 113.456981, 427.219637], [50.560179, 50.929390, 51.823953, 58.464338, 62.074307, 62.364614, 67.293548, 71.175702, 75.379787, 256.867285], [64.060238, 66.250138, 68.635082, 75.899376, 76.261880, 78.328960, 86.652340, 91.254756, 94.372608, 352.865887]]
### 8
fourier: [[19.114350, 19.126128, 20.450247, 22.020488, 22.371531, 23.681093, 26.960649, 28.646434, 29.534812, 94.846506], [130.524768, 130.910944, 136.815641, 149.230599, 158.599041, 159.029177, 174.634306, 184.871389, 195.162902, 725.079636], [107.604533, 109.823481, 116.443879, 126.719134, 127.779597, 129.760626, 147.445665, 156.497414, 160.235339, 552.390811], [108.914697, 110.318466, 115.058948, 125.965315, 132.144347, 133.253311, 146.845777, 155.139355, 163.035527, 588.791765], [100.867734, 101.983122, 105.900274, 114.432619, 123.855953, 124.420775, 134.129031, 141.476700, 151.541077, 586.150620], [210.154771, 213.332398, 224.358845, 245.963184, 254.014771, 256.625526, 286.188616, 303.368569, 315.933895, 1083.282270]]
### 10
fourier: [[144.945534, 145.824962, 153.045000, 165.121696, 176.124500, 176.961804, 193.988774, 205.284626, 217.176800, 784.659607], [126.833216, 129.905574, 135.027914, 148.888806, 154.320795, 156.404432, 173.198992, 183.801336, 191.366653, 668.042151], [176.165671, 178.240040, 186.236573, 202.154653, 214.455771, 215.962891, 236.879394, 250.882130, 264.574303, 946.314739], [111.089807, 113.633443, 118.391130, 129.271265, 135.380498, 136.761063, 151.020403, 160.448481, 167.908376, 593.281662], [127.741411, 128.378823, 135.603494, 144.559741, 154.860405, 155.620036, 170.523250, 180.289149, 191.325590, 697.825612], [153.478604, 155.850196, 158.751650, 175.133165, 181.162110, 187.601974, 211.940353, 223.472903, 228.505793, 654.428610]]
### 12
fourier: [[226.940202, 235.583155, 244.151540, 272.830203, 275.243990, 280.631952, 315.943029, 337.505542, 344.959166, 1145.999258]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[1.092743, -0.374273, 0.90992, -0.115285, 0.02189], [0.989637, 0.735864, -0.229281, 0.295298, 0.005995], [-0.725665, -0.332947, -0.052691, -0.18062, -0.269837], [-0.673616, -0.396401, 0.310802, -1.013677, 0.579821], [-0.703348, 0.02806, -0.340736, -0.536752, 0.421956], [1.014096, -0.218168, -0.443998, -0.214575, 0.474468]], "network.0.bias": [-0.215353, -0.514306, -0.014679, 0.199595, 0.518609, -0.114305], "network.2.weight": [[-0.30617, -0.15635, -0.898393, -0.132305, -0.540546, -1.083876], [0.772948, 0.392681, 0.107474, 0.310434, -0.73561, 0.084353], [-0.287836, -0.159375, -0.095011, -1.022797, -0.641918, -0.622572], [-0.599253, 0.704908, 0.538793, -0.586997, 0.258613, -0.029674], [-0.277696, -0.107513, -0.878896, -0.308088, -0.40285, -1.131411], [-0.301669, -0.359322, -0.964439, 0.563937, 0.565194, 0.29771]], "network.2.bias": [0.450986, -0.528589, -0.040697, -0.113603, 0.308484, -0.077311], "network.4.weight": [[0.602479, -0.358501, 0.143643, -0.985934, 0.56289, 0.656369], [-0.462649, -0.62742, 1.20453, -0.371381, -0.180597, 0.515373], [-1.302705, 1.124525, -0.413837, 0.677618, -0.658633, -0.178369], [0.826715, 0.368108, 0.074529, -1.033358, 0.929894, 0.324539], [-0.761296, 0.485702, -0.296998, 0.972101, -0.777368, 0.067589], [-0.91783, 0.392356, 0.064759, 0.617459, -1.022306, -0.285249]], "network.4.bias": [0.195275, 0.017131, 0.145339, -0.362244, -0.18105, 0.13862], "network.6.weight": [[0.434369, 0.304954, -0.830395, 0.040793, -0.993179, -0.635555], [0.62513, 0.882463, -0.411668, 0.441815, -0.582895, -0.575727], [-0.146211, 0.033418, 0.573085, 0.389581, 0.720557, 0.200615], [-0.528836, 0.53272, 0.977705, 0.59778, 0.869997, 0.105645], [0.268872, 0.055074, 0.568376, 0.385983, 0.520057, 0.394701], [-0.436195, 0.320557, 0.697352, 0.032441, 0.988799, 0.302312]], "network.6.bias": [0.32925, 0.421563, 0.055577, 0.027118, -0.436899, -0.14849], "network.8.weight": [[-0.015909, 0.348156, -0.016355, -0.274147, 0.033007, 0.025459], [0.069815, -0.281354, 0.475151, 0.585135, 0.743352, 0.384555], [0.734675, 0.430142, -0.156913, -0.304743, 0.05438, -1.2233], [-0.416133, -0.04354, 0.34091, 0.33703, 0.56101, 0.595441], [0.229797, 0.122736, 0.53526, 0.580594, 0.008854, 0.473175], [0.652302, 0.658419, -0.329384, -0.830147, -1.030893, -1.241799]], "network.8.bias": [0.046316, -0.052489, 0.395607, -0.194635, -0.090573, 0.842274], "network.10.weight": [[0.129545, -0.639299, 0.013494, -0.422885, -0.153282, 0.172212], [0.332367, 0.167433, -0.15159, 0.490921, 0.50228, -0.353395], [0.149258, 0.695227, -0.09159, 0.209324, 0.6157, -0.24947], [-0.477339, 0.309853, 0.20467, 0.266616, 0.411711, -0.341255], [0.585109, -0.043099, 0.159591, -0.777665, -0.373371, -0.025415], [0.084567, -0.443286, 0.800154, -0.794633, 0.017586, 0.918969]], "network.10.bias": [0.198875, -0.198633, -0.352079, -0.236347, 0.18899, 0.583779], "network.12.weight": [[0.083777, -0.579703, -0.577911, -0.449284, 0.054957, 0.72002]], "network.12.bias": [0.165541]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920357644557953, "train_acc": 0.555, "val_loss": 0.6967262029647827, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6878048181533813, "train_acc": 0.555, "val_loss": 0.6940675377845764, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6878137588500977, "train_acc": 0.555, "val_loss": 0.6912629008293152, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6822649538516998, "train_acc": 0.555, "val_loss": 0.6658222675323486, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.630849689245224, "train_acc": 0.58, "val_loss": 0.5689523816108704, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5382343232631683, "train_acc": 0.705, "val_loss": 0.43413683772087097, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.3686133623123169, "train_acc": 0.875, "val_loss": 0.5475704669952393, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3300546482205391, "train_acc": 0.815, "val_loss": 0.28510600328445435, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.326529324054718, "train_acc": 0.85, "val_loss": 0.32650336623191833, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3107340633869171, "train_acc": 0.85, "val_loss": 0.22093623876571655, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.19750169664621353, "train_acc": 0.93, "val_loss": 0.21752753853797913, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.21365351229906082, "train_acc": 0.94, "val_loss": 0.1963018774986267, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.16189809888601303, "train_acc": 0.945, "val_loss": 0.12855009734630585, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.15751616656780243, "train_acc": 0.945, "val_loss": 0.13962000608444214, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.1395317167043686, "train_acc": 0.945, "val_loss": 0.05249050259590149, "val_acc": 1.0}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6967262029647827, "final_val_loss": 0.5689523816108704, "initial_val_acc": 0.52, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.43413683772087097, "final_val_loss": 0.05249050259590149, "initial_val_acc": 0.86, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 14}, "improvement": 0.31999999999999995, "first_improvement_epoch": 4}}
|
225
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1018, "learning_rate": 0.0463005644770448, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[20.730977, 22.234545, 22.645490, 22.903720, 23.289382, 23.976908, 24.224910, 26.209240, 28.274919, 227.412010], [17.934311, 18.374613, 18.722106, 19.906202, 20.942520, 21.564413, 23.210695, 23.461828, 29.344715, 101.309054], [14.861951, 15.046499, 15.233339, 16.573885, 20.090050, 22.339719, 24.118840, 25.176188, 25.789846, 63.215160], [10.704832, 11.444405, 11.499406, 12.125908, 13.147615, 13.548576, 14.347907, 14.511202, 14.791858, 14.825848], [25.627237, 26.881721, 28.783435, 30.180860, 30.483442, 31.348607, 31.435545, 35.887830, 36.519371, 300.708875], [17.513440, 17.630508, 19.109459, 19.564103, 19.903312, 20.139322, 23.164035, 23.529474, 27.113121, 137.322065], [23.746168, 23.842838, 25.762688, 27.155580, 27.838590, 28.662169, 29.429176, 29.842688, 33.379071, 92.943330]]
### 2
fourier: [[10.131621, 10.763643, 11.522926, 12.035665, 12.091899, 14.334108, 14.435502, 14.690011, 16.500744, 99.734120], [11.833975, 12.275320, 12.885727, 13.850477, 14.049155, 14.888240, 16.365754, 17.127274, 17.772247, 78.767256], [10.391755, 10.773643, 10.796359, 12.086650, 13.377074, 14.127557, 14.338854, 15.453246, 15.958128, 109.492023], [8.179641, 8.668775, 9.806905, 9.867138, 10.783914, 10.788435, 11.305560, 11.337052, 13.429181, 19.846572], [14.282935, 15.418375, 16.596302, 17.513281, 18.180273, 18.331319, 20.329692, 20.565643, 21.830760, 177.688619], [6.617382, 7.852643, 8.177492, 8.611626, 8.705450, 8.900323, 9.826501, 10.277182, 11.053912, 28.315833], [6.735725, 7.255807, 8.154927, 8.706540, 9.024762, 9.382067, 9.401857, 10.651841, 12.167293, 61.015593]]
### 4
fourier: [[11.484943, 12.410730, 12.587507, 13.749852, 15.032563, 15.034440, 15.597471, 17.284677, 17.900970, 93.018806], [3.922862, 4.532371, 4.706085, 4.785554, 5.669701, 5.726544, 5.762168, 5.994852, 6.345906, 39.493840], [2.957003, 2.966889, 2.991023, 2.998432, 3.005952, 3.293539, 3.295944, 3.327351, 3.420812, 4.136034], [6.775307, 7.229388, 7.474289, 9.954537, 10.225638, 10.419609, 10.855544, 11.163447, 11.355104, 116.044608], [4.339635, 4.590184, 4.947387, 5.749405, 6.516732, 6.766901, 6.879220, 6.915692, 7.039321, 54.224432], [8.919134, 9.443353, 9.652770, 10.548270, 11.875263, 11.896078, 12.038158, 13.421563, 13.820522, 57.982016], [7.994477, 8.167248, 8.167795, 10.180916, 10.207314, 10.806648, 11.214493, 12.335889, 12.836103, 37.616708]]
### 6
fourier: [[12.809465, 13.358834, 13.774267, 16.838574, 18.289707, 20.286801, 20.401531, 21.183383, 22.265462, 106.982298], [1.886137, 1.939521, 2.100968, 2.300390, 2.477438, 2.634660, 2.691692, 2.692523, 2.887258, 45.474610], [1.774223, 1.845990, 1.941651, 1.965637, 2.516513, 2.637879, 2.638872, 2.777645, 2.831471, 36.337126], [7.932531, 7.976222, 8.601320, 10.440093, 11.486282, 12.529993, 12.555561, 13.198288, 13.451081, 72.439313], [2.835707, 2.904066, 3.100651, 3.565316, 3.897884, 4.263416, 4.365602, 4.370761, 4.478628, 10.753470], [0.712761, 0.722178, 0.758503, 0.864338, 0.886924, 0.903524, 0.919384, 0.988055, 1.176774, 33.903126], [0.687491, 0.695678, 0.698053, 0.715608, 0.718255, 0.747516, 0.791728, 0.924567, 1.222443, 22.070393]]
### 8
fourier: [[2.841746, 2.907870, 3.032676, 3.770172, 4.166390, 4.590420, 4.625244, 4.652602, 5.041849, 37.358548], [5.428429, 5.601688, 5.958889, 7.292192, 8.047232, 8.819690, 8.906143, 9.090281, 9.577246, 20.321041], [6.900565, 6.952652, 7.534379, 8.982931, 9.951460, 10.837944, 11.019383, 11.370451, 11.682604, 26.259793], [9.585487, 9.774780, 10.525015, 12.671736, 14.015193, 15.299480, 15.510965, 15.951920, 16.533249, 68.784149], [2.956621, 3.041631, 3.221725, 3.960081, 4.369385, 4.794905, 4.841245, 4.919344, 5.218011, 43.517791], [5.142376, 5.313507, 5.602782, 6.870578, 7.607738, 8.358134, 8.490880, 8.505540, 9.150536, 61.109354], [7.194404, 7.274622, 7.870997, 9.401968, 10.414525, 11.349059, 11.538339, 11.882673, 12.245211, 33.418376]]
### 10
fourier: [[8.447683, 8.724049, 9.192744, 10.426126, 11.560341, 12.456765, 12.771746, 13.115253, 13.400233, 23.746767]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.730977, 22.234545, 22.645490, 22.903720, 23.289382, 23.976908, 24.224910, 26.209240, 28.274919, 227.412010], [17.934311, 18.374613, 18.722106, 19.906202, 20.942520, 21.564413, 23.210695, 23.461828, 29.344715, 101.309054], [14.861951, 15.046499, 15.233339, 16.573885, 20.090050, 22.339719, 24.118840, 25.176188, 25.789846, 63.215160], [10.704832, 11.444405, 11.499406, 12.125908, 13.147615, 13.548576, 14.347907, 14.511202, 14.791858, 14.825848], [25.627237, 26.881721, 28.783435, 30.180860, 30.483442, 31.348607, 31.435545, 35.887830, 36.519371, 300.708875], [17.513440, 17.630508, 19.109459, 19.564103, 19.903312, 20.139322, 23.164035, 23.529474, 27.113121, 137.322065], [23.746168, 23.842838, 25.762688, 27.155580, 27.838590, 28.662169, 29.429176, 29.842688, 33.379071, 92.943330]]
### 2
fourier: [[10.131621, 10.763643, 11.522926, 12.035665, 12.091899, 14.334108, 14.435502, 14.690011, 16.500744, 99.734120], [11.833975, 12.275320, 12.885727, 13.850477, 14.049155, 14.888240, 16.365754, 17.127274, 17.772247, 78.767256], [10.391755, 10.773643, 10.796359, 12.086650, 13.377074, 14.127557, 14.338854, 15.453246, 15.958128, 109.492023], [8.179641, 8.668775, 9.806905, 9.867138, 10.783914, 10.788435, 11.305560, 11.337052, 13.429181, 19.846572], [14.282935, 15.418375, 16.596302, 17.513281, 18.180273, 18.331319, 20.329692, 20.565643, 21.830760, 177.688619], [6.617382, 7.852643, 8.177492, 8.611626, 8.705450, 8.900323, 9.826501, 10.277182, 11.053912, 28.315833], [6.735725, 7.255807, 8.154927, 8.706540, 9.024762, 9.382067, 9.401857, 10.651841, 12.167293, 61.015593]]
### 4
fourier: [[11.484943, 12.410730, 12.587507, 13.749852, 15.032563, 15.034440, 15.597471, 17.284677, 17.900970, 93.018806], [3.922862, 4.532371, 4.706085, 4.785554, 5.669701, 5.726544, 5.762168, 5.994852, 6.345906, 39.493840], [2.957003, 2.966889, 2.991023, 2.998432, 3.005952, 3.293539, 3.295944, 3.327351, 3.420812, 4.136034], [6.775307, 7.229388, 7.474289, 9.954537, 10.225638, 10.419609, 10.855544, 11.163447, 11.355104, 116.044608], [4.339635, 4.590184, 4.947387, 5.749405, 6.516732, 6.766901, 6.879220, 6.915692, 7.039321, 54.224432], [8.919134, 9.443353, 9.652770, 10.548270, 11.875263, 11.896078, 12.038158, 13.421563, 13.820522, 57.982016], [7.994477, 8.167248, 8.167795, 10.180916, 10.207314, 10.806648, 11.214493, 12.335889, 12.836103, 37.616708]]
### 6
fourier: [[12.809465, 13.358834, 13.774267, 16.838574, 18.289707, 20.286801, 20.401531, 21.183383, 22.265462, 106.982298], [1.886137, 1.939521, 2.100968, 2.300390, 2.477438, 2.634660, 2.691692, 2.692523, 2.887258, 45.474610], [1.774223, 1.845990, 1.941651, 1.965637, 2.516513, 2.637879, 2.638872, 2.777645, 2.831471, 36.337126], [7.932531, 7.976222, 8.601320, 10.440093, 11.486282, 12.529993, 12.555561, 13.198288, 13.451081, 72.439313], [2.835707, 2.904066, 3.100651, 3.565316, 3.897884, 4.263416, 4.365602, 4.370761, 4.478628, 10.753470], [0.712761, 0.722178, 0.758503, 0.864338, 0.886924, 0.903524, 0.919384, 0.988055, 1.176774, 33.903126], [0.687491, 0.695678, 0.698053, 0.715608, 0.718255, 0.747516, 0.791728, 0.924567, 1.222443, 22.070393]]
### 8
fourier: [[2.841746, 2.907870, 3.032676, 3.770172, 4.166390, 4.590420, 4.625244, 4.652602, 5.041849, 37.358548], [5.428429, 5.601688, 5.958889, 7.292192, 8.047232, 8.819690, 8.906143, 9.090281, 9.577246, 20.321041], [6.900565, 6.952652, 7.534379, 8.982931, 9.951460, 10.837944, 11.019383, 11.370451, 11.682604, 26.259793], [9.585487, 9.774780, 10.525015, 12.671736, 14.015193, 15.299480, 15.510965, 15.951920, 16.533249, 68.784149], [2.956621, 3.041631, 3.221725, 3.960081, 4.369385, 4.794905, 4.841245, 4.919344, 5.218011, 43.517791], [5.142376, 5.313507, 5.602782, 6.870578, 7.607738, 8.358134, 8.490880, 8.505540, 9.150536, 61.109354], [7.194404, 7.274622, 7.870997, 9.401968, 10.414525, 11.349059, 11.538339, 11.882673, 12.245211, 33.418376]]
### 10
fourier: [[8.447683, 8.724049, 9.192744, 10.426126, 11.560341, 12.456765, 12.771746, 13.115253, 13.400233, 23.746767]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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11.882672536547629, 12.245210772497838, 33.418375954031944]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [8.447683301202181, 8.724048912935455, 9.192744226808683, 10.426125716006027, 11.560340871933793, 12.456765191318944, 12.771745773072618, 13.115252566695652, 13.400232775911693, 23.746766924858093]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.137632, 0.266026, 0.496086, 0.381191, 0.228541], [-0.21064, 0.470609, 0.027039, -0.673102, -0.19586], [0.218932, -0.346057, 0.150651, 0.099592, 0.500277], [0.224145, -0.013141, -0.361192, 0.276922, -0.001411], [-0.139516, -0.512283, -0.547594, -0.320739, -0.026911], [-0.10311, 0.738938, 0.026421, 0.006832, 0.065577], [0.294413, -0.014764, 0.008887, -0.819212, 0.478543]], "network.0.bias": [0.077741, -0.09257, -0.084735, 0.057936, -0.369235, 0.156887, -0.224194], "network.2.weight": [[0.219275, -0.435983, -0.022739, -0.12962, -0.435381, 0.4249, -0.315245], [0.050329, -0.727916, 0.002288, -0.440327, -0.262861, 0.638131, -0.551597], [0.355224, -0.739269, -0.030551, -0.235069, -0.113462, 0.248793, -0.455725], [-0.401936, 0.456867, -0.144609, 0.060345, 0.056222, 0.320043, 0.2534], [-0.506458, -0.314552, -0.251178, -0.322321, 0.227742, -0.225285, -0.169113], [0.058266, -0.049434, 0.159305, 0.213007, -0.200515, -0.188143, 0.484516], [0.00063, 0.146433, 0.362628, -0.322727, 0.106464, -0.28612, -0.694136]], "network.2.bias": [0.120928, 0.201396, 0.280722, 0.279973, 0.085655, 0.092249, -0.230517], "network.4.weight": [[0.107391, 0.526133, 0.420521, -0.645452, -0.163153, -0.291957, 0.364237], [-0.309044, -0.104622, -0.045312, -0.146199, 0.149975, -0.218401, 0.381398], [0.023684, 0.246485, -0.432225, 0.252867, 0.109308, 0.059571, 0.245508], [0.08689, -0.469795, -0.444306, -0.285128, 0.105031, -0.236897, -0.30105], [-0.202428, -0.132396, -0.165439, 0.017353, 0.262877, -0.118114, 0.205259], [0.100279, 0.480712, 0.24489, -0.465118, -0.031415, -0.210505, 0.340719], [0.15442, 0.171562, 0.458793, -0.018922, -0.248505, -0.161562, 0.265077]], "network.4.bias": [0.097051, 0.15975, 0.24211, -0.257078, -0.008182, -0.081634, -0.427924], "network.6.weight": [[0.638779, 0.055943, -0.510361, -0.082328, 0.268213, 0.459223, 0.424365], [0.15115, 0.181739, -0.035338, -0.010142, -0.256697, -0.145003, -0.330431], [-0.034381, -0.368194, -0.202829, -0.150241, -0.229478, -0.373892, 0.210831], [0.26935, 0.355985, -0.080906, -0.352824, 0.108315, 0.325976, 0.434924], [-0.208366, 0.194171, -0.040166, -0.267019, -0.301009, 0.3512, 0.322176], [-0.188089, -0.083909, 0.081663, -0.242108, 0.205496, 0.088808, 0.106054], [-0.080206, 0.073517, -0.464948, 0.091186, 0.290391, -0.193326, 0.271707]], "network.6.bias": [0.023267, -0.395492, -0.192915, 0.076276, -0.058452, -0.298547, -0.111392], "network.8.weight": [[-0.320863, 0.262671, -0.078827, 0.056743, 0.30994, 0.44088, 0.183965], [-0.340792, 0.109375, -0.089482, -0.231236, 0.248644, 0.244713, 0.198215], [0.346481, 0.053187, -0.140785, 0.237098, 0.256554, 0.362322, 0.185448], [0.511609, 0.175009, -0.101824, 0.3839, 0.067825, 0.166625, -0.109349], [-0.208007, -0.130524, -0.307015, -0.10304, 0.182389, 0.21432, 0.054911], [-0.575347, 0.074081, 0.505673, 0.151335, 0.349177, -0.129045, -0.203366], [0.387123, 0.001356, 0.132512, 0.223718, 0.219326, -0.208012, 0.026385]], "network.8.bias": [-0.119565, 0.335126, -0.35856, -0.17532, -0.17655, -0.157168, -0.31178], "network.10.weight": [[-0.044683, 0.304412, -0.703325, -0.266701, -0.024133, -0.142093, -0.1581]], "network.10.bias": [0.273132]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7141676247119904, "train_acc": 0.445, "val_loss": 0.6880679130554199, "val_acc": 0.7}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6885179877281189, "train_acc": 0.6, "val_loss": 0.6835334300994873, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6752910912036896, "train_acc": 0.555, "val_loss": 0.6593782305717468, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6626759171485901, "train_acc": 0.555, "val_loss": 0.6396424770355225, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6729741096496582, "train_acc": 0.525, "val_loss": 0.6123142242431641, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6258207857608795, "train_acc": 0.605, "val_loss": 0.5391005873680115, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.578845202922821, "train_acc": 0.745, "val_loss": 0.5199441313743591, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5378267168998718, "train_acc": 0.75, "val_loss": 0.4754468500614166, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4983806908130646, "train_acc": 0.8, "val_loss": 0.5053056478500366, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.48085516691207886, "train_acc": 0.81, "val_loss": 0.4846283197402954, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5131867676973343, "train_acc": 0.79, "val_loss": 0.4985237419605255, "val_acc": 0.76}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6880679130554199, "final_val_loss": 0.6396424770355225, "initial_val_acc": 0.7, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6123142242431641, "final_val_loss": 0.4985237419605255, "initial_val_acc": 0.7, "final_val_acc": 0.76, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.31999999999999995, "first_improvement_epoch": 3}}
|
226
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{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2867, "learning_rate": 0.056709726179333016, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[22.322099, 22.647199, 24.046198, 24.451897, 24.624991, 26.717096, 27.264704, 28.966332, 30.864273, 32.286625], [16.735538, 17.676044, 19.482053, 23.486833, 25.131105, 26.176046, 27.683816, 33.830363, 35.683943, 138.067680], [31.363299, 31.510931, 31.691905, 33.960659, 35.934615, 37.039205, 37.302623, 41.832300, 53.510707, 78.211216], [14.568250, 14.788758, 15.637827, 15.739270, 17.185848, 21.087576, 24.451000, 24.666111, 25.782860, 130.531331], [20.884304, 21.211761, 21.612788, 22.850208, 24.592360, 24.675608, 24.989440, 27.272587, 29.348149, 38.044366], [23.616654, 24.384787, 26.371333, 27.814286, 28.595958, 30.064329, 34.116047, 35.884894, 40.538640, 179.101281], [21.749856, 22.912039, 23.888785, 26.127013, 26.684404, 27.052274, 31.040673, 36.278592, 39.256363, 130.930472], [19.981417, 20.000604, 21.987851, 25.081246, 29.427024, 31.119479, 32.947662, 39.285888, 40.850943, 150.103054]]
### 2
fourier: [[25.425460, 25.818680, 25.830230, 28.481368, 31.474600, 32.679044, 34.053210, 36.040547, 38.233683, 109.461983], [26.903252, 27.693727, 28.601121, 32.854932, 37.535459, 42.569401, 44.060696, 44.550809, 55.991010, 172.576494], [13.555021, 13.750802, 16.124839, 17.795679, 19.314647, 20.521468, 21.400400, 23.702893, 27.722633, 80.937862], [18.039280, 19.612736, 20.331944, 21.459794, 22.709136, 22.814399, 25.352254, 28.284377, 33.309843, 35.018624], [26.207576, 26.559784, 26.620579, 27.605718, 28.270616, 32.830003, 33.575410, 34.645210, 36.714210, 153.599428], [35.214492, 39.465010, 39.923791, 47.673377, 48.628317, 50.249590, 55.133098, 59.483867, 59.956521, 248.191904], [11.931238, 13.499212, 13.865451, 14.427686, 15.336133, 16.497271, 17.212901, 20.024994, 23.015677, 53.016839], [10.679671, 10.702531, 10.745180, 11.599005, 12.138967, 12.258385, 12.307112, 14.931082, 15.736911, 15.976537]]
### 4
fourier: [[10.546945, 10.554510, 10.622158, 13.982911, 14.359425, 15.867360, 16.391346, 18.323576, 20.443106, 76.189002], [18.462989, 20.882512, 21.031475, 25.055299, 25.435346, 25.554308, 26.178763, 26.537325, 27.039060, 50.691874], [15.086793, 15.867105, 16.435462, 16.662244, 19.658637, 22.144350, 22.804394, 24.057490, 27.644565, 43.525088], [24.187270, 27.516227, 30.601422, 32.606746, 34.048825, 35.027524, 35.210473, 36.469020, 37.561286, 154.761078], [3.445485, 3.576144, 3.735526, 4.151696, 4.383911, 4.653295, 4.746976, 5.242408, 6.116384, 20.411663], [12.320105, 12.439491, 12.501474, 15.497701, 16.753659, 19.922627, 21.032836, 21.155759, 24.441196, 42.856142], [33.868913, 35.378530, 35.915535, 37.768729, 40.289678, 50.979936, 51.896815, 56.654976, 65.596193, 211.169010], [18.975442, 19.688588, 22.331552, 23.400534, 25.281011, 27.018647, 27.486428, 31.956112, 32.409595, 104.166875]]
### 6
fourier: [[5.022238, 5.267078, 5.393733, 5.487973, 6.068933, 6.373918, 6.480566, 6.734267, 7.151862, 42.288461], [6.449133, 6.674010, 7.411565, 7.680983, 7.847094, 9.738710, 10.715951, 11.026860, 11.375228, 56.190522], [35.277805, 36.038248, 38.862542, 39.729220, 42.173280, 52.962009, 54.735144, 58.597099, 64.940346, 184.781273], [2.968974, 3.013894, 3.077789, 3.253951, 3.370067, 3.402886, 3.483287, 3.637076, 3.828868, 39.875060], [23.613180, 24.498192, 28.110001, 29.143732, 31.970797, 35.370124, 36.208186, 38.920048, 42.169448, 69.502579], [42.706773, 43.372829, 50.837302, 53.174944, 56.303294, 66.986554, 68.071332, 71.894180, 79.780075, 264.734762], [14.076567, 14.868791, 15.777484, 15.984505, 18.436704, 19.139028, 19.200245, 21.115511, 22.949342, 23.990459], [11.637752, 11.966415, 13.516090, 14.323875, 14.685923, 15.699722, 15.952378, 16.628002, 17.455630, 19.532504]]
### 8
fourier: [[29.998802, 31.235607, 35.686057, 36.524860, 38.045131, 43.053192, 45.912854, 49.017888, 52.971912, 106.584761], [33.678622, 34.443934, 39.742490, 40.995776, 42.066415, 49.854276, 52.332397, 55.872868, 61.141578, 140.621902], [26.979143, 27.718210, 32.139372, 32.504362, 33.386035, 38.306722, 41.273626, 44.062373, 47.380992, 95.673948], [14.438202, 14.642307, 15.234828, 17.747083, 17.909333, 18.430500, 20.115141, 22.348522, 23.748422, 25.199498], [21.249414, 21.621987, 24.982988, 25.821976, 27.264139, 30.068204, 31.692554, 33.865961, 36.177960, 43.616176], [17.860990, 18.274642, 21.503907, 21.821058, 22.126681, 24.094038, 26.408195, 27.130992, 28.454478, 30.555418], [12.940211, 13.497352, 13.525048, 15.961036, 16.006993, 16.992380, 19.314487, 20.117306, 21.841647, 23.244001], [36.640867, 37.362390, 43.488970, 43.980983, 46.655218, 54.050975, 55.950446, 60.259141, 65.072367, 115.510766]]
### 10
fourier: [[45.297755, 45.693759, 52.089159, 56.537932, 58.479988, 69.301812, 71.164176, 75.798213, 83.662577, 182.802759]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[22.322099, 22.647199, 24.046198, 24.451897, 24.624991, 26.717096, 27.264704, 28.966332, 30.864273, 32.286625], [16.735538, 17.676044, 19.482053, 23.486833, 25.131105, 26.176046, 27.683816, 33.830363, 35.683943, 138.067680], [31.363299, 31.510931, 31.691905, 33.960659, 35.934615, 37.039205, 37.302623, 41.832300, 53.510707, 78.211216], [14.568250, 14.788758, 15.637827, 15.739270, 17.185848, 21.087576, 24.451000, 24.666111, 25.782860, 130.531331], [20.884304, 21.211761, 21.612788, 22.850208, 24.592360, 24.675608, 24.989440, 27.272587, 29.348149, 38.044366], [23.616654, 24.384787, 26.371333, 27.814286, 28.595958, 30.064329, 34.116047, 35.884894, 40.538640, 179.101281], [21.749856, 22.912039, 23.888785, 26.127013, 26.684404, 27.052274, 31.040673, 36.278592, 39.256363, 130.930472], [19.981417, 20.000604, 21.987851, 25.081246, 29.427024, 31.119479, 32.947662, 39.285888, 40.850943, 150.103054]]
### 2
fourier: [[25.425460, 25.818680, 25.830230, 28.481368, 31.474600, 32.679044, 34.053210, 36.040547, 38.233683, 109.461983], [26.903252, 27.693727, 28.601121, 32.854932, 37.535459, 42.569401, 44.060696, 44.550809, 55.991010, 172.576494], [13.555021, 13.750802, 16.124839, 17.795679, 19.314647, 20.521468, 21.400400, 23.702893, 27.722633, 80.937862], [18.039280, 19.612736, 20.331944, 21.459794, 22.709136, 22.814399, 25.352254, 28.284377, 33.309843, 35.018624], [26.207576, 26.559784, 26.620579, 27.605718, 28.270616, 32.830003, 33.575410, 34.645210, 36.714210, 153.599428], [35.214492, 39.465010, 39.923791, 47.673377, 48.628317, 50.249590, 55.133098, 59.483867, 59.956521, 248.191904], [11.931238, 13.499212, 13.865451, 14.427686, 15.336133, 16.497271, 17.212901, 20.024994, 23.015677, 53.016839], [10.679671, 10.702531, 10.745180, 11.599005, 12.138967, 12.258385, 12.307112, 14.931082, 15.736911, 15.976537]]
### 4
fourier: [[10.546945, 10.554510, 10.622158, 13.982911, 14.359425, 15.867360, 16.391346, 18.323576, 20.443106, 76.189002], [18.462989, 20.882512, 21.031475, 25.055299, 25.435346, 25.554308, 26.178763, 26.537325, 27.039060, 50.691874], [15.086793, 15.867105, 16.435462, 16.662244, 19.658637, 22.144350, 22.804394, 24.057490, 27.644565, 43.525088], [24.187270, 27.516227, 30.601422, 32.606746, 34.048825, 35.027524, 35.210473, 36.469020, 37.561286, 154.761078], [3.445485, 3.576144, 3.735526, 4.151696, 4.383911, 4.653295, 4.746976, 5.242408, 6.116384, 20.411663], [12.320105, 12.439491, 12.501474, 15.497701, 16.753659, 19.922627, 21.032836, 21.155759, 24.441196, 42.856142], [33.868913, 35.378530, 35.915535, 37.768729, 40.289678, 50.979936, 51.896815, 56.654976, 65.596193, 211.169010], [18.975442, 19.688588, 22.331552, 23.400534, 25.281011, 27.018647, 27.486428, 31.956112, 32.409595, 104.166875]]
### 6
fourier: [[5.022238, 5.267078, 5.393733, 5.487973, 6.068933, 6.373918, 6.480566, 6.734267, 7.151862, 42.288461], [6.449133, 6.674010, 7.411565, 7.680983, 7.847094, 9.738710, 10.715951, 11.026860, 11.375228, 56.190522], [35.277805, 36.038248, 38.862542, 39.729220, 42.173280, 52.962009, 54.735144, 58.597099, 64.940346, 184.781273], [2.968974, 3.013894, 3.077789, 3.253951, 3.370067, 3.402886, 3.483287, 3.637076, 3.828868, 39.875060], [23.613180, 24.498192, 28.110001, 29.143732, 31.970797, 35.370124, 36.208186, 38.920048, 42.169448, 69.502579], [42.706773, 43.372829, 50.837302, 53.174944, 56.303294, 66.986554, 68.071332, 71.894180, 79.780075, 264.734762], [14.076567, 14.868791, 15.777484, 15.984505, 18.436704, 19.139028, 19.200245, 21.115511, 22.949342, 23.990459], [11.637752, 11.966415, 13.516090, 14.323875, 14.685923, 15.699722, 15.952378, 16.628002, 17.455630, 19.532504]]
### 8
fourier: [[29.998802, 31.235607, 35.686057, 36.524860, 38.045131, 43.053192, 45.912854, 49.017888, 52.971912, 106.584761], [33.678622, 34.443934, 39.742490, 40.995776, 42.066415, 49.854276, 52.332397, 55.872868, 61.141578, 140.621902], [26.979143, 27.718210, 32.139372, 32.504362, 33.386035, 38.306722, 41.273626, 44.062373, 47.380992, 95.673948], [14.438202, 14.642307, 15.234828, 17.747083, 17.909333, 18.430500, 20.115141, 22.348522, 23.748422, 25.199498], [21.249414, 21.621987, 24.982988, 25.821976, 27.264139, 30.068204, 31.692554, 33.865961, 36.177960, 43.616176], [17.860990, 18.274642, 21.503907, 21.821058, 22.126681, 24.094038, 26.408195, 27.130992, 28.454478, 30.555418], [12.940211, 13.497352, 13.525048, 15.961036, 16.006993, 16.992380, 19.314487, 20.117306, 21.841647, 23.244001], [36.640867, 37.362390, 43.488970, 43.980983, 46.655218, 54.050975, 55.950446, 60.259141, 65.072367, 115.510766]]
### 10
fourier: [[45.297755, 45.693759, 52.089159, 56.537932, 58.479988, 69.301812, 71.164176, 75.798213, 83.662577, 182.802759]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6889231204986572, "train_acc": 0.57, "val_loss": 0.672431230545044, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6619022190570831, "train_acc": 0.565, "val_loss": 0.6018905639648438, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5944156348705292, "train_acc": 0.535, "val_loss": 0.40001732110977173, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4516526758670807, "train_acc": 0.855, "val_loss": 0.37087738513946533, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.31559428572654724, "train_acc": 0.875, "val_loss": 0.3976747989654541, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.34297411143779755, "train_acc": 0.84, "val_loss": 0.30160778760910034, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.27738580852746964, "train_acc": 0.88, "val_loss": 0.3246925473213196, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2811753824353218, "train_acc": 0.88, "val_loss": 0.33838436007499695, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2956666201353073, "train_acc": 0.88, "val_loss": 0.33545249700546265, "val_acc": 0.84}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.672431230545044, "final_val_loss": 0.6018905639648438, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.40001732110977173, "final_val_loss": 0.33545249700546265, "initial_val_acc": 0.82, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 5}, "improvement": 0.29999999999999993, "first_improvement_epoch": 1}}
|
227
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.74, "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": 1261, "learning_rate": 0.020287399951009227, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[9.153580, 10.388151, 10.978366, 10.981689, 11.039628, 12.113495, 12.288625, 12.333957, 12.918508, 32.535429], [26.990010, 27.387233, 28.466683, 28.897371, 29.975691, 32.664572, 33.984490, 34.791072, 35.644830, 176.297382], [4.849393, 5.302107, 5.569917, 6.127716, 6.197227, 6.407555, 6.606261, 7.418576, 9.045070, 33.129246], [22.149445, 24.127044, 24.488538, 24.954150, 27.529721, 28.046241, 28.792675, 33.038006, 34.718325, 166.246863], [14.115384, 15.891548, 16.902547, 17.146220, 17.949131, 18.961793, 19.268692, 22.092305, 22.933849, 63.740463], [23.713079, 24.350753, 25.323804, 25.325631, 26.515180, 28.697765, 29.711371, 32.207162, 37.106679, 195.035857], [22.361654, 22.828808, 26.168527, 26.544507, 29.133377, 30.087251, 30.880951, 32.682132, 32.807248, 215.924016]]
### 2
fourier: [[25.258982, 25.578187, 26.539420, 26.668604, 26.824572, 27.151716, 29.184230, 30.859648, 33.035320, 100.623606], [25.389703, 26.743813, 26.754373, 27.791389, 29.375334, 29.903233, 33.116525, 35.907402, 37.041207, 97.974840], [14.650994, 15.477031, 16.083345, 16.191391, 18.427056, 19.279570, 19.847586, 20.181486, 20.933052, 49.183327], [31.888505, 34.306679, 34.365386, 34.792603, 34.975073, 36.462985, 39.694410, 44.502202, 45.098762, 196.905542], [18.361587, 18.375129, 18.910237, 22.451670, 23.263702, 24.556372, 25.190028, 30.338810, 31.294831, 242.146212], [17.245590, 19.003091, 19.005396, 19.947319, 20.792218, 20.961437, 22.294536, 22.999055, 25.720776, 203.631025], [15.695535, 16.600220, 17.028643, 17.516818, 18.442849, 20.678772, 20.928594, 26.480929, 26.763913, 181.717229]]
### 4
fourier: [[6.324627, 6.437394, 6.622016, 6.957200, 7.231017, 7.956800, 8.831319, 9.015650, 10.204913, 94.364077], [14.282064, 14.355930, 14.423246, 14.764162, 15.218668, 16.406559, 16.969253, 17.447702, 18.287270, 52.577969], [33.357009, 33.895614, 33.981374, 34.247191, 35.042342, 35.747650, 37.226173, 44.643491, 44.996972, 175.600822], [10.643888, 12.878849, 13.652855, 13.748130, 14.189716, 15.032169, 15.560206, 15.644429, 18.294998, 101.532715], [25.253758, 25.545541, 25.983359, 26.558533, 26.593587, 27.980275, 29.415914, 34.601560, 37.595340, 160.538048], [10.766741, 11.047180, 11.086235, 11.138493, 11.390292, 13.897386, 14.572575, 15.977781, 18.596974, 138.733389], [10.943593, 11.161484, 11.361433, 11.790959, 11.992727, 14.435205, 14.821791, 16.539862, 19.193291, 150.710359]]
### 6
fourier: [[28.352764, 29.595197, 29.629169, 30.079773, 31.115653, 31.642699, 35.061073, 40.312972, 41.618444, 126.439021], [29.717309, 30.431233, 31.279558, 31.395496, 31.400518, 31.673148, 34.016717, 37.062728, 40.197974, 167.638153], [16.298653, 17.008202, 17.302793, 17.314711, 17.730540, 17.738481, 18.833821, 20.554453, 22.218875, 65.586146], [21.472160, 21.706442, 21.914700, 22.620577, 23.439045, 24.284689, 24.739403, 26.810286, 30.121626, 116.570404], [5.737833, 5.945054, 6.036909, 6.049020, 6.052737, 6.235214, 6.354041, 6.369725, 8.508381, 15.973855], [22.713611, 22.819477, 23.475642, 24.085239, 25.559917, 25.819196, 27.252655, 30.157880, 32.460307, 172.559018], [3.007125, 3.009108, 3.031746, 3.609478, 3.836172, 3.931338, 4.048782, 4.256977, 4.374864, 69.938851]]
### 8
fourier: [[1.791874, 1.900476, 1.924812, 1.944701, 2.000782, 2.121378, 2.310643, 2.387100, 3.514248, 31.880470], [3.098354, 3.109598, 3.252803, 3.323711, 3.481687, 4.080684, 4.357341, 4.545523, 4.598932, 44.330348], [29.360861, 29.570355, 29.726353, 29.945571, 30.752369, 30.903163, 31.611560, 32.256281, 38.927490, 138.541725], [17.206215, 17.697069, 17.956082, 18.837058, 18.961235, 19.135209, 19.309752, 20.476756, 23.698030, 133.781640], [17.746215, 17.819830, 18.187242, 18.231599, 18.314135, 18.361497, 19.184117, 19.871341, 23.490976, 88.611451], [5.798893, 6.100212, 6.226417, 6.274811, 6.316311, 6.637247, 6.679094, 7.253518, 7.857845, 65.853388], [52.438208, 53.603012, 53.767870, 54.070491, 55.571088, 55.761193, 57.867958, 59.701179, 70.598364, 280.267401]]
### 10
fourier: [[26.245395, 26.746117, 26.804358, 27.021205, 28.243687, 28.500755, 28.501537, 28.576756, 35.285561, 120.328832]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[9.153580, 10.388151, 10.978366, 10.981689, 11.039628, 12.113495, 12.288625, 12.333957, 12.918508, 32.535429], [26.990010, 27.387233, 28.466683, 28.897371, 29.975691, 32.664572, 33.984490, 34.791072, 35.644830, 176.297382], [4.849393, 5.302107, 5.569917, 6.127716, 6.197227, 6.407555, 6.606261, 7.418576, 9.045070, 33.129246], [22.149445, 24.127044, 24.488538, 24.954150, 27.529721, 28.046241, 28.792675, 33.038006, 34.718325, 166.246863], [14.115384, 15.891548, 16.902547, 17.146220, 17.949131, 18.961793, 19.268692, 22.092305, 22.933849, 63.740463], [23.713079, 24.350753, 25.323804, 25.325631, 26.515180, 28.697765, 29.711371, 32.207162, 37.106679, 195.035857], [22.361654, 22.828808, 26.168527, 26.544507, 29.133377, 30.087251, 30.880951, 32.682132, 32.807248, 215.924016]]
### 2
fourier: [[25.258982, 25.578187, 26.539420, 26.668604, 26.824572, 27.151716, 29.184230, 30.859648, 33.035320, 100.623606], [25.389703, 26.743813, 26.754373, 27.791389, 29.375334, 29.903233, 33.116525, 35.907402, 37.041207, 97.974840], [14.650994, 15.477031, 16.083345, 16.191391, 18.427056, 19.279570, 19.847586, 20.181486, 20.933052, 49.183327], [31.888505, 34.306679, 34.365386, 34.792603, 34.975073, 36.462985, 39.694410, 44.502202, 45.098762, 196.905542], [18.361587, 18.375129, 18.910237, 22.451670, 23.263702, 24.556372, 25.190028, 30.338810, 31.294831, 242.146212], [17.245590, 19.003091, 19.005396, 19.947319, 20.792218, 20.961437, 22.294536, 22.999055, 25.720776, 203.631025], [15.695535, 16.600220, 17.028643, 17.516818, 18.442849, 20.678772, 20.928594, 26.480929, 26.763913, 181.717229]]
### 4
fourier: [[6.324627, 6.437394, 6.622016, 6.957200, 7.231017, 7.956800, 8.831319, 9.015650, 10.204913, 94.364077], [14.282064, 14.355930, 14.423246, 14.764162, 15.218668, 16.406559, 16.969253, 17.447702, 18.287270, 52.577969], [33.357009, 33.895614, 33.981374, 34.247191, 35.042342, 35.747650, 37.226173, 44.643491, 44.996972, 175.600822], [10.643888, 12.878849, 13.652855, 13.748130, 14.189716, 15.032169, 15.560206, 15.644429, 18.294998, 101.532715], [25.253758, 25.545541, 25.983359, 26.558533, 26.593587, 27.980275, 29.415914, 34.601560, 37.595340, 160.538048], [10.766741, 11.047180, 11.086235, 11.138493, 11.390292, 13.897386, 14.572575, 15.977781, 18.596974, 138.733389], [10.943593, 11.161484, 11.361433, 11.790959, 11.992727, 14.435205, 14.821791, 16.539862, 19.193291, 150.710359]]
### 6
fourier: [[28.352764, 29.595197, 29.629169, 30.079773, 31.115653, 31.642699, 35.061073, 40.312972, 41.618444, 126.439021], [29.717309, 30.431233, 31.279558, 31.395496, 31.400518, 31.673148, 34.016717, 37.062728, 40.197974, 167.638153], [16.298653, 17.008202, 17.302793, 17.314711, 17.730540, 17.738481, 18.833821, 20.554453, 22.218875, 65.586146], [21.472160, 21.706442, 21.914700, 22.620577, 23.439045, 24.284689, 24.739403, 26.810286, 30.121626, 116.570404], [5.737833, 5.945054, 6.036909, 6.049020, 6.052737, 6.235214, 6.354041, 6.369725, 8.508381, 15.973855], [22.713611, 22.819477, 23.475642, 24.085239, 25.559917, 25.819196, 27.252655, 30.157880, 32.460307, 172.559018], [3.007125, 3.009108, 3.031746, 3.609478, 3.836172, 3.931338, 4.048782, 4.256977, 4.374864, 69.938851]]
### 8
fourier: [[1.791874, 1.900476, 1.924812, 1.944701, 2.000782, 2.121378, 2.310643, 2.387100, 3.514248, 31.880470], [3.098354, 3.109598, 3.252803, 3.323711, 3.481687, 4.080684, 4.357341, 4.545523, 4.598932, 44.330348], [29.360861, 29.570355, 29.726353, 29.945571, 30.752369, 30.903163, 31.611560, 32.256281, 38.927490, 138.541725], [17.206215, 17.697069, 17.956082, 18.837058, 18.961235, 19.135209, 19.309752, 20.476756, 23.698030, 133.781640], [17.746215, 17.819830, 18.187242, 18.231599, 18.314135, 18.361497, 19.184117, 19.871341, 23.490976, 88.611451], [5.798893, 6.100212, 6.226417, 6.274811, 6.316311, 6.637247, 6.679094, 7.253518, 7.857845, 65.853388], [52.438208, 53.603012, 53.767870, 54.070491, 55.571088, 55.761193, 57.867958, 59.701179, 70.598364, 280.267401]]
### 10
fourier: [[26.245395, 26.746117, 26.804358, 27.021205, 28.243687, 28.500755, 28.501537, 28.576756, 35.285561, 120.328832]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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17.146219526600916, 17.949131434468587, 18.961793172697934, 19.268691972153157, 22.09230525790064, 22.933848734455783, 63.74046302586794]}, "5": {"fourier": [23.7130792169689, 24.35075291413604, 25.323803569199693, 25.32563067415836, 26.515179856415106, 28.697765363957622, 29.711371005197602, 32.20716203739974, 37.106679343495664, 195.03585675358772]}, "6": {"fourier": [22.361654270407683, 22.828807649249494, 26.168526717231778, 26.5445070292173, 29.133377256561555, 30.08725056375546, 30.880951494099687, 32.68213188112305, 32.80724828073223, 215.92401604354382]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [25.258982195700952, 25.578187093040743, 26.539420340209325, 26.6686040024379, 26.824572038550578, 27.15171647287323, 29.18423034842538, 30.859648364451644, 33.03531984390723, 100.62360593676567]}, "1": {"fourier": [25.38970330951758, 26.74381295348877, 26.754373184935563, 27.791388575835573, 29.375333541310553, 29.903233060730646, 33.11652507571568, 35.90740242525557, 37.041206681999995, 97.97483952343464]}, "2": {"fourier": [14.650994068172015, 15.477030815587899, 16.083344666916126, 16.191391140644097, 18.427055881941197, 19.279569702153207, 19.847585989948854, 20.181486095779192, 20.933052036861692, 49.18332652747631]}, "3": {"fourier": [31.88850548664234, 34.30667947837301, 34.365385565843184, 34.792603434732406, 34.975073415564886, 36.46298526514199, 39.69441028786198, 44.50220174223372, 45.098762000901175, 196.9055421501398]}, "4": {"fourier": [18.36158706041743, 18.375129397110634, 18.91023712412004, 22.451669881484975, 23.263701782193102, 24.556371551840392, 25.190027602514917, 30.338809565787944, 31.294830753571148, 242.1462116241455]}, "5": {"fourier": [17.24558986113332, 19.00309094427677, 19.005395799856377, 19.947318767277903, 20.7922180263342, 20.961436883909403, 22.29453599287444, 22.999054900157073, 25.72077574431935, 203.63102453947067]}, "6": {"fourier": 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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": [[-0.049425, 0.200868, 0.170428, 0.059779, -0.311246], [0.742374, 0.390957, 0.155186, 0.085954, -0.19921], [0.191112, -0.01737, -0.06191, -0.049059, 0.052812], [-0.432045, 0.425512, 0.182289, 0.409, 0.58547], [-0.068656, -0.079603, -0.216191, 0.260873, 0.540651], [0.473546, 0.281715, 0.198525, 0.509202, -0.21691], [-0.169595, 0.264136, 0.250529, 0.447569, 0.612781]], "network.0.bias": [-0.043343, 0.059806, 0.331321, -0.370473, 0.16409, -0.174714, -0.109984], "network.2.weight": [[0.077077, -0.287957, -0.332805, 0.365513, 0.485849, -0.274168, 0.356816], [0.302792, 0.653825, -0.106994, -0.099706, -0.467672, 0.306698, -0.025095], [0.319055, 0.250878, 0.388282, 0.190952, -0.42883, 0.230741, -0.160305], [0.426441, 0.676438, 0.283506, -0.260893, -0.313324, 0.535138, -0.008086], [0.230711, -0.17203, -0.328015, -0.160827, -0.144657, -0.363909, -0.336105], [0.051834, 0.516125, 0.419979, -0.062606, 0.08205, 0.083877, 0.156518], [0.136617, -0.138566, -0.255182, -0.360334, 0.185038, -0.309728, -0.18869]], "network.2.bias": [0.387749, -0.336693, -0.387019, 0.146018, -0.294413, 0.545016, -0.035654], "network.4.weight": [[-0.119517, 0.144899, 0.046121, -0.310134, 0.004983, -0.082799, 0.083827], [0.045835, 0.395279, 0.291261, 0.051206, -0.001283, -0.018591, -0.206723], [-0.374993, 0.463706, 0.213274, 0.45929, -0.045162, 0.12436, 0.142658], [0.526448, -0.16309, 0.066969, -0.095352, 0.102052, 0.176658, 0.042136], [-0.424758, 0.192748, 0.071508, 0.286828, -0.00388, 0.449499, -0.134099], [-0.381647, 0.132986, -0.33503, -0.166057, 0.034514, -0.296871, 0.073307], [-0.344126, 0.175829, -0.307843, -0.183489, 0.114923, -0.368965, -0.294271]], "network.4.bias": [-0.210452, -0.316873, 0.325974, 0.396254, 0.36999, 0.110686, 0.050113], "network.6.weight": [[0.008497, 0.323758, 0.358235, -0.640989, 0.404925, -0.189839, -0.011632], [-0.060147, 0.383644, 0.59853, -0.270086, 0.169372, -0.1947, 0.234088], [-0.195669, 0.278159, 0.367746, -0.186207, 0.004305, -0.012849, 0.327448], [-0.105664, -0.096959, 0.466879, -0.047617, 0.325148, -0.248521, -0.035191], [0.04147, -0.373272, -0.008413, 0.342706, 0.092284, 0.041548, -0.094019], [0.0835, -0.119986, 0.275715, -0.075576, 0.645802, -0.166705, -0.235487], [-0.164331, -0.183909, -0.101135, -0.266954, 0.099346, -0.333327, 0.031724]], "network.6.bias": [0.401762, 0.335114, -0.027277, -0.180064, -0.118808, 0.287503, -0.324159], "network.8.weight": [[0.194487, -0.200924, 0.073695, 0.056791, 0.073502, -0.144135, 0.173567], [-0.365501, 0.104168, -0.081338, 0.105641, 0.013885, 0.116485, 0.362228], [-0.308576, -0.248834, -0.185502, -0.455732, 0.281169, 0.025597, -0.149622], [-0.35177, -0.229764, -0.247154, 0.141135, -0.215468, -0.027081, 0.106592], [0.149975, 0.279573, 0.047523, 0.357167, -0.310417, -0.17803, -0.1969], [0.249352, -0.222118, -0.226877, 0.169728, -0.223825, -0.289679, -0.345146], [0.513348, 0.46218, 0.261779, 0.454402, -0.385746, 0.394778, 0.095081]], "network.8.bias": [-0.167177, -0.394959, 0.088067, -0.338109, 0.105853, -0.134985, -0.100602], "network.10.weight": [[0.26548, 0.24265, 0.104078, -0.092236, -0.152733, -0.165321, -0.452006]], "network.10.bias": [0.248546]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7079374194145203, "train_acc": 0.44, "val_loss": 0.7004430294036865, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6964535117149353, "train_acc": 0.44, "val_loss": 0.6875079274177551, "val_acc": 0.68}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.688687652349472, "train_acc": 0.575, "val_loss": 0.671410083770752, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6778183281421661, "train_acc": 0.56, "val_loss": 0.6546272039413452, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6840834021568298, "train_acc": 0.48, "val_loss": 0.6583243012428284, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6651330888271332, "train_acc": 0.685, "val_loss": 0.6357868313789368, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6421158015727997, "train_acc": 0.73, "val_loss": 0.5879934430122375, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5988180935382843, "train_acc": 0.7, "val_loss": 0.5396988391876221, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5889871418476105, "train_acc": 0.71, "val_loss": 0.5082798600196838, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5463223159313202, "train_acc": 0.75, "val_loss": 0.48831474781036377, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5326500833034515, "train_acc": 0.755, "val_loss": 0.486051470041275, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.513600081205368, "train_acc": 0.755, "val_loss": 0.46756187081336975, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4907035082578659, "train_acc": 0.76, "val_loss": 0.46367523074150085, "val_acc": 0.72}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4839177578687668, "train_acc": 0.765, "val_loss": 0.47148436307907104, "val_acc": 0.72}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7004430294036865, "final_val_loss": 0.6546272039413452, "initial_val_acc": 0.42, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6583243012428284, "final_val_loss": 0.47148436307907104, "initial_val_acc": 0.68, "final_val_acc": 0.72, "best_val_acc": 0.74, "best_epoch": 9}, "improvement": 0.16000000000000003, "first_improvement_epoch": 3}}
|
228
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4918, "learning_rate": 0.09170386968933573, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[24.093023, 24.443941, 25.641437, 26.065665, 26.871935, 27.669628, 31.547478, 32.889534, 35.683952, 222.870121], [22.002455, 22.092438, 23.367743, 23.577669, 24.592682, 24.638385, 25.225299, 26.047198, 28.564060, 34.233844], [23.455997, 24.294149, 24.822756, 26.916708, 27.564972, 27.723991, 30.450652, 30.663005, 30.812850, 76.177807], [11.217243, 11.282147, 11.312084, 11.413414, 11.803985, 13.441332, 13.836654, 14.200969, 14.319630, 17.455781], [17.116399, 17.280793, 17.674335, 20.951892, 21.517330, 21.689281, 23.405546, 24.199147, 29.121029, 93.263168], [27.442030, 27.685554, 28.204676, 28.535061, 29.490140, 32.254349, 33.320562, 35.319407, 40.433932, 69.861868], [26.672997, 28.585521, 29.633548, 29.708168, 30.621743, 31.869093, 32.033972, 32.434943, 36.948339, 113.489740]]
### 2
fourier: [[27.824524, 28.320201, 30.986232, 31.656475, 33.041607, 33.502637, 34.137944, 40.415252, 44.286729, 125.995545], [15.238084, 15.537523, 16.870305, 17.596050, 18.103720, 19.541671, 20.976168, 21.215227, 26.850711, 209.874996], [3.575493, 3.624293, 3.906759, 4.091454, 4.108884, 4.118817, 4.866739, 4.910152, 5.257566, 26.444160], [14.804618, 15.096913, 16.185567, 19.310469, 21.887975, 23.455474, 24.138348, 25.650989, 28.181185, 159.213684], [17.005215, 17.120136, 18.052089, 18.718986, 19.063112, 22.527619, 22.684745, 24.892536, 25.009489, 28.685770], [4.016223, 4.358944, 4.985847, 5.077051, 5.392512, 5.586235, 5.706197, 6.518366, 6.763386, 8.168234], [10.369737, 10.714597, 10.731125, 12.137718, 12.278984, 13.727125, 14.042749, 15.051165, 15.889543, 150.783989]]
### 4
fourier: [[17.000534, 17.561719, 17.655112, 18.298355, 18.863317, 20.783035, 20.881250, 25.436751, 29.661929, 114.511925], [13.243173, 14.049897, 15.056841, 15.455232, 17.809677, 19.731943, 20.029657, 23.053784, 26.713875, 147.779501], [5.579013, 5.649205, 5.968408, 6.093984, 7.141590, 7.326581, 7.573154, 7.620386, 8.422274, 67.996542], [4.457858, 4.787888, 5.128159, 5.420959, 5.427922, 6.498119, 6.522767, 7.356121, 8.599769, 44.534465], [5.079143, 5.974875, 6.153009, 6.544139, 6.617604, 6.774645, 7.411075, 7.485081, 7.732659, 10.897178], [7.962660, 8.347496, 8.555419, 9.088460, 9.390922, 9.454487, 10.760996, 12.236247, 13.452223, 19.643496], [1.742898, 1.812823, 1.814200, 1.880061, 2.093611, 2.392857, 2.453771, 2.877817, 2.882797, 39.500191]]
### 6
fourier: [[8.895304, 8.907561, 9.455379, 10.109784, 10.269444, 10.558437, 10.788165, 12.962842, 14.661987, 25.239970], [3.501012, 3.533003, 3.572453, 3.728002, 3.847996, 4.129141, 4.333589, 5.087573, 5.795598, 23.857795], [12.425294, 12.570390, 13.047657, 13.867917, 13.962890, 14.989280, 15.173060, 18.489734, 21.249443, 73.560695], [4.585367, 4.587393, 4.802982, 4.828390, 4.865952, 4.971452, 5.533219, 6.707147, 7.988533, 61.633462], [11.305168, 11.309508, 11.863074, 12.706176, 12.778758, 13.401459, 13.812625, 16.648651, 19.004263, 57.685514], [9.813438, 10.055106, 10.680895, 11.382226, 11.498270, 11.894189, 12.089330, 14.555788, 16.542546, 38.625796], [7.914078, 8.030379, 8.401480, 8.921411, 9.179547, 9.252120, 9.477637, 11.774729, 13.684149, 27.652171]]
### 8
fourier: [[4.700332, 4.722662, 4.779146, 4.910922, 4.998688, 5.152705, 5.575154, 6.910128, 7.997957, 53.765994], [4.216737, 4.337070, 4.444721, 4.548148, 4.583370, 4.612284, 4.830853, 5.162224, 6.498627, 7.580473], [16.643121, 16.832878, 17.343163, 17.677660, 18.139870, 18.935088, 20.108459, 24.802521, 28.595131, 110.781094], [15.602705, 15.631354, 15.789416, 16.398497, 16.565571, 16.908237, 18.482982, 22.902988, 26.486806, 67.284314], [16.901938, 16.980887, 17.348071, 17.775031, 18.185040, 18.844965, 20.253157, 25.015127, 28.887789, 86.794249], [6.182733, 6.395274, 6.491826, 6.614121, 6.862421, 7.072723, 7.458626, 9.503249, 11.117152, 64.498022], [7.666812, 7.708240, 7.725057, 8.112431, 8.116439, 8.179741, 9.049574, 11.240395, 13.005238, 68.953009]]
### 10
fourier: [[17.750991, 17.805687, 17.975125, 18.556398, 18.782769, 19.247145, 21.132100, 26.137193, 30.444453, 89.468224]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[24.093023, 24.443941, 25.641437, 26.065665, 26.871935, 27.669628, 31.547478, 32.889534, 35.683952, 222.870121], [22.002455, 22.092438, 23.367743, 23.577669, 24.592682, 24.638385, 25.225299, 26.047198, 28.564060, 34.233844], [23.455997, 24.294149, 24.822756, 26.916708, 27.564972, 27.723991, 30.450652, 30.663005, 30.812850, 76.177807], [11.217243, 11.282147, 11.312084, 11.413414, 11.803985, 13.441332, 13.836654, 14.200969, 14.319630, 17.455781], [17.116399, 17.280793, 17.674335, 20.951892, 21.517330, 21.689281, 23.405546, 24.199147, 29.121029, 93.263168], [27.442030, 27.685554, 28.204676, 28.535061, 29.490140, 32.254349, 33.320562, 35.319407, 40.433932, 69.861868], [26.672997, 28.585521, 29.633548, 29.708168, 30.621743, 31.869093, 32.033972, 32.434943, 36.948339, 113.489740]]
### 2
fourier: [[27.824524, 28.320201, 30.986232, 31.656475, 33.041607, 33.502637, 34.137944, 40.415252, 44.286729, 125.995545], [15.238084, 15.537523, 16.870305, 17.596050, 18.103720, 19.541671, 20.976168, 21.215227, 26.850711, 209.874996], [3.575493, 3.624293, 3.906759, 4.091454, 4.108884, 4.118817, 4.866739, 4.910152, 5.257566, 26.444160], [14.804618, 15.096913, 16.185567, 19.310469, 21.887975, 23.455474, 24.138348, 25.650989, 28.181185, 159.213684], [17.005215, 17.120136, 18.052089, 18.718986, 19.063112, 22.527619, 22.684745, 24.892536, 25.009489, 28.685770], [4.016223, 4.358944, 4.985847, 5.077051, 5.392512, 5.586235, 5.706197, 6.518366, 6.763386, 8.168234], [10.369737, 10.714597, 10.731125, 12.137718, 12.278984, 13.727125, 14.042749, 15.051165, 15.889543, 150.783989]]
### 4
fourier: [[17.000534, 17.561719, 17.655112, 18.298355, 18.863317, 20.783035, 20.881250, 25.436751, 29.661929, 114.511925], [13.243173, 14.049897, 15.056841, 15.455232, 17.809677, 19.731943, 20.029657, 23.053784, 26.713875, 147.779501], [5.579013, 5.649205, 5.968408, 6.093984, 7.141590, 7.326581, 7.573154, 7.620386, 8.422274, 67.996542], [4.457858, 4.787888, 5.128159, 5.420959, 5.427922, 6.498119, 6.522767, 7.356121, 8.599769, 44.534465], [5.079143, 5.974875, 6.153009, 6.544139, 6.617604, 6.774645, 7.411075, 7.485081, 7.732659, 10.897178], [7.962660, 8.347496, 8.555419, 9.088460, 9.390922, 9.454487, 10.760996, 12.236247, 13.452223, 19.643496], [1.742898, 1.812823, 1.814200, 1.880061, 2.093611, 2.392857, 2.453771, 2.877817, 2.882797, 39.500191]]
### 6
fourier: [[8.895304, 8.907561, 9.455379, 10.109784, 10.269444, 10.558437, 10.788165, 12.962842, 14.661987, 25.239970], [3.501012, 3.533003, 3.572453, 3.728002, 3.847996, 4.129141, 4.333589, 5.087573, 5.795598, 23.857795], [12.425294, 12.570390, 13.047657, 13.867917, 13.962890, 14.989280, 15.173060, 18.489734, 21.249443, 73.560695], [4.585367, 4.587393, 4.802982, 4.828390, 4.865952, 4.971452, 5.533219, 6.707147, 7.988533, 61.633462], [11.305168, 11.309508, 11.863074, 12.706176, 12.778758, 13.401459, 13.812625, 16.648651, 19.004263, 57.685514], [9.813438, 10.055106, 10.680895, 11.382226, 11.498270, 11.894189, 12.089330, 14.555788, 16.542546, 38.625796], [7.914078, 8.030379, 8.401480, 8.921411, 9.179547, 9.252120, 9.477637, 11.774729, 13.684149, 27.652171]]
### 8
fourier: [[4.700332, 4.722662, 4.779146, 4.910922, 4.998688, 5.152705, 5.575154, 6.910128, 7.997957, 53.765994], [4.216737, 4.337070, 4.444721, 4.548148, 4.583370, 4.612284, 4.830853, 5.162224, 6.498627, 7.580473], [16.643121, 16.832878, 17.343163, 17.677660, 18.139870, 18.935088, 20.108459, 24.802521, 28.595131, 110.781094], [15.602705, 15.631354, 15.789416, 16.398497, 16.565571, 16.908237, 18.482982, 22.902988, 26.486806, 67.284314], [16.901938, 16.980887, 17.348071, 17.775031, 18.185040, 18.844965, 20.253157, 25.015127, 28.887789, 86.794249], [6.182733, 6.395274, 6.491826, 6.614121, 6.862421, 7.072723, 7.458626, 9.503249, 11.117152, 64.498022], [7.666812, 7.708240, 7.725057, 8.112431, 8.116439, 8.179741, 9.049574, 11.240395, 13.005238, 68.953009]]
### 10
fourier: [[17.750991, 17.805687, 17.975125, 18.556398, 18.782769, 19.247145, 21.132100, 26.137193, 30.444453, 89.468224]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.351517, -0.571551, -0.334347, -0.036642, -0.145756], [0.002691, 0.305777, -0.008709, 0.426946, -0.715111], [-0.708867, 0.144354, 0.123327, 0.02263, 0.765945], [0.182223, -0.172176, -0.214915, -0.143714, 0.35167], [0.390183, -0.030754, 0.028256, -0.265244, 0.459006], [0.70163, 0.535846, 0.147502, -0.260918, -0.307131], [-0.655643, -0.351438, 0.339515, 0.339893, 0.708923]], "network.0.bias": [-0.040642, -0.258563, 0.214711, 0.309178, 0.550409, -0.443121, 0.404876], "network.2.weight": [[0.173538, -0.52612, 0.617213, 0.528471, 0.48785, -0.256713, 0.473304], [-0.1766, -0.615821, -0.552693, -0.390944, -0.091677, -0.528531, -0.072165], [0.366536, 0.307688, 0.041241, -0.060882, 0.120675, -0.123579, 0.035064], [-0.56709, 0.107378, -0.140034, -0.187246, -0.140048, -0.451445, -0.630224], [0.189552, -0.163216, 0.038844, 0.422536, 0.626932, 0.221973, -0.483564], [-0.173123, 0.1213, -0.006233, -0.090652, -0.147123, -0.02687, -0.048384], [-0.044917, -0.047325, -0.060449, 0.12173, -0.009433, -0.15504, -0.541722]], "network.2.bias": [-0.089457, -0.209367, -0.043054, 0.084506, 0.014678, 0.125022, -0.52546], "network.4.weight": [[0.634993, 0.212563, -0.177917, -0.035975, 0.323748, 0.045014, -0.10149], [-0.509577, 0.111949, -0.566006, -0.013926, -0.562127, -0.161766, 0.409745], [-0.227034, -0.062239, -0.053319, -0.193225, 0.074159, -0.510086, 0.102323], [0.027736, 0.037924, 0.287005, 0.148846, -0.335393, -0.376893, -0.029422], [-0.205407, 0.184415, 0.29051, 0.283331, 0.126921, 0.000303, 0.238816], [-0.277619, 0.161359, 0.403376, 0.122117, -0.188045, 0.143378, -0.137708], [-0.068165, -0.072453, 0.324877, 0.199128, -0.0537, -0.328659, 0.070909]], "network.4.bias": [0.083435, -0.262197, -0.375733, -0.374831, 0.281457, 0.218132, -0.363981], "network.6.weight": [[0.450902, 0.31975, 0.363501, -0.190233, -0.251549, -0.42242, 0.358318], [-0.190213, -0.025771, -0.344504, 0.374313, -0.012541, 0.12872, -0.087345], [0.692842, -0.102987, 0.319649, 0.266168, -0.131544, -0.253422, -0.020402], [-0.275868, 0.163496, -0.331115, 0.239942, 0.09233, -0.231903, 0.31904], [0.608963, -0.030919, -0.101382, -0.044574, -0.156836, -0.363418, -0.009393], [0.505572, 0.186247, -0.173864, -0.302263, -0.373311, -0.400045, 0.117473], [0.440988, -0.185572, -0.14692, 0.02363, -0.265873, 0.010703, 0.274947]], "network.6.bias": [-0.176264, -0.036576, -0.000707, -0.324768, -0.048924, -0.070064, -0.191173], "network.8.weight": [[0.02285, 0.110548, 0.021971, 0.368869, -0.307229, -0.022253, -0.22408], [0.209494, -0.194166, 0.032982, -0.241162, -0.135225, 0.262826, 0.208463], [-0.156042, -0.601657, 0.618338, 0.176165, 0.500601, 0.217536, 0.423785], [0.397117, 0.136753, 0.325999, 0.010898, 0.285921, 0.398263, 0.26398], [0.360258, -0.121855, 0.550348, 0.167239, 0.403492, 0.131269, 0.27367], [-0.476258, 0.226007, 0.19925, 0.114068, 0.108936, -0.348602, -0.455511], [-0.156764, -0.207053, -0.200126, -0.237336, 0.027503, -0.346798, -0.163386]], "network.8.bias": [-0.312909, -0.223261, 0.143736, -0.202206, -0.104506, -0.410835, -0.305326], "network.10.weight": [[-0.08084, -0.064016, -0.285384, -0.45521, -0.356381, 0.092874, -0.370079]], "network.10.bias": [0.086536]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6834434568881989, "train_acc": 0.57, "val_loss": 0.6946991086006165, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6374852359294891, "train_acc": 0.57, "val_loss": 0.5589836835861206, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 1.0052211284637451, "train_acc": 0.495, "val_loss": 0.493763267993927, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49948203563690186, "train_acc": 0.83, "val_loss": 0.594007134437561, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5839929580688477, "train_acc": 0.75, "val_loss": 0.6255320906639099, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5952180027961731, "train_acc": 0.725, "val_loss": 0.6140611171722412, "val_acc": 0.68}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6946991086006165, "final_val_loss": 0.5589836835861206, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.493763267993927, "final_val_loss": 0.6140611171722412, "initial_val_acc": 0.84, "final_val_acc": 0.68, "best_val_acc": 0.84, "best_epoch": 2}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
229
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9684, "learning_rate": 0.05975531678687898, "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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"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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"network.4.bias": [
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"network.6.weight": [
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[40.442413, 43.169972, 43.861843, 44.989664, 45.339113, 47.955129, 54.693421, 56.802116, 57.176427, 183.117375], [49.253030, 51.412162, 52.057577, 52.529758, 55.081324, 55.299066, 56.660600, 58.757931, 59.924914, 174.408270], [38.279429, 39.993390, 42.517766, 44.466933, 52.478552, 54.554670, 54.663735, 66.977847, 68.921605, 347.083124], [35.906471, 35.929379, 36.148794, 38.264793, 40.778681, 42.876428, 42.972327, 55.248188, 56.947910, 317.574449], [32.701335, 32.773410, 35.991870, 38.359668, 41.182582, 42.114591, 43.019315, 45.852507, 49.750964, 151.123207]]
### 2
fourier: [[62.469346, 66.078850, 67.255715, 72.571816, 73.885337, 82.883704, 83.584083, 92.856652, 103.461494, 396.613379], [42.074847, 42.254884, 46.939199, 47.614828, 49.389216, 56.426663, 56.533275, 70.033665, 70.160785, 372.176648], [15.725428, 15.731984, 17.051282, 17.648357, 18.270228, 19.550131, 20.003755, 25.254153, 26.501032, 196.333878], [9.361242, 9.461490, 9.857445, 10.485635, 10.893035, 11.952769, 13.478860, 13.914291, 14.768594, 151.224321], [53.761940, 57.527177, 60.188968, 63.804404, 66.555239, 74.047580, 74.505501, 85.408575, 92.436333, 361.184021]]
### 4
fourier: [[6.827986, 6.926711, 7.028705, 7.653933, 8.461341, 8.721072, 9.292199, 9.429931, 10.515254, 67.578970], [3.789349, 4.633483, 4.777175, 4.814178, 4.978914, 5.230528, 5.255024, 5.455718, 6.757373, 75.159741], [3.048406, 3.150354, 3.443096, 3.632471, 3.789289, 3.939476, 4.168402, 4.228763, 5.028020, 55.706996], [39.628609, 39.741565, 42.374910, 43.552108, 45.048977, 48.837718, 50.100078, 57.240375, 61.846781, 206.387801], [26.280096, 26.386387, 27.792115, 28.613478, 29.217263, 30.791946, 32.878469, 37.438370, 38.884288, 57.183413]]
### 6
fourier: [[7.617240, 8.118034, 8.238319, 8.593400, 8.685547, 8.795483, 9.168148, 10.758956, 14.300860, 49.677711], [14.316094, 15.256303, 15.399109, 16.154252, 16.306018, 16.550271, 17.199637, 20.221597, 26.856615, 48.034205], [21.610694, 23.032009, 23.411385, 24.378516, 24.649795, 24.944384, 26.025076, 30.523591, 40.582194, 59.392772], [3.595851, 3.814294, 3.831618, 4.059798, 4.084417, 4.169512, 4.300199, 5.079720, 6.732345, 66.332842], [8.111670, 8.643908, 8.670760, 9.155479, 9.227678, 9.390327, 9.725243, 11.458358, 15.203694, 27.219694]]
### 8
fourier: [[21.421178, 21.943534, 22.978150, 23.074424, 23.274046, 23.674449, 24.414884, 30.233186, 39.279849, 172.345572]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.20137,
-1.515477,
-0.277085,
0.195171,
0.26774
],
[
-1.107534,
-1.231847,
0.050384,
0.287898,
0.255789
],
[
0.583795,
1.295098,
0.036379,
0.41192,
0.012761
],
[
0.650925,
0.90043,
0.194309,
0.31253,
0.138825
],
[
-0.547522,
-0.960155,
-0.215002,
0.015206,
0.493179
]
],
"network.0.bias": [
0.807546,
0.646992,
-0.205048,
-0.169529,
0.56008
],
"network.2.weight": [
[
0.540739,
0.712611,
-1.051012,
-0.328841,
0.760594
],
[
0.273034,
-0.335137,
0.463454,
0.686507,
-0.210249
],
[
-0.162535,
-0.126167,
-0.204499,
-0.250323,
-0.095831
],
[
0.074471,
-0.356286,
0.087137,
-0.382592,
-0.363561
],
[
0.542488,
0.550949,
-1.024525,
-0.255076,
0.184452
]
],
"network.2.bias": [
0.213404,
0.005348,
-0.380936,
-0.454527,
0.451706
],
"network.4.weight": [
[
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0.346741,
0.084814,
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],
[
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0.357829,
-0.399153,
-0.40891
],
[
-0.198159,
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],
[
0.657024,
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0.189917,
0.854756
],
[
0.965347,
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0.511264
]
],
"network.4.bias": [
0.111689,
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-0.23903,
0.126237,
0.338176
],
"network.6.weight": [
[
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-0.315607,
-0.283785
],
[
-0.927217,
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],
[
-0.052453,
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0.915567,
0.788381
],
[
0.544225,
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],
[
-0.105663,
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-0.3465
]
],
"network.6.bias": [
-0.29711,
1.01252,
-0.063238,
0.857171,
-0.03127
],
"network.8.weight": [
[
-0.434043,
-1.089795,
0.674225,
-0.585288,
-0.105554
]
],
"network.8.bias": [
-1.05066
]
}
## Activation Signature
### 0
fourier: [[40.442413, 43.169972, 43.861843, 44.989664, 45.339113, 47.955129, 54.693421, 56.802116, 57.176427, 183.117375], [49.253030, 51.412162, 52.057577, 52.529758, 55.081324, 55.299066, 56.660600, 58.757931, 59.924914, 174.408270], [38.279429, 39.993390, 42.517766, 44.466933, 52.478552, 54.554670, 54.663735, 66.977847, 68.921605, 347.083124], [35.906471, 35.929379, 36.148794, 38.264793, 40.778681, 42.876428, 42.972327, 55.248188, 56.947910, 317.574449], [32.701335, 32.773410, 35.991870, 38.359668, 41.182582, 42.114591, 43.019315, 45.852507, 49.750964, 151.123207]]
### 2
fourier: [[62.469346, 66.078850, 67.255715, 72.571816, 73.885337, 82.883704, 83.584083, 92.856652, 103.461494, 396.613379], [42.074847, 42.254884, 46.939199, 47.614828, 49.389216, 56.426663, 56.533275, 70.033665, 70.160785, 372.176648], [15.725428, 15.731984, 17.051282, 17.648357, 18.270228, 19.550131, 20.003755, 25.254153, 26.501032, 196.333878], [9.361242, 9.461490, 9.857445, 10.485635, 10.893035, 11.952769, 13.478860, 13.914291, 14.768594, 151.224321], [53.761940, 57.527177, 60.188968, 63.804404, 66.555239, 74.047580, 74.505501, 85.408575, 92.436333, 361.184021]]
### 4
fourier: [[6.827986, 6.926711, 7.028705, 7.653933, 8.461341, 8.721072, 9.292199, 9.429931, 10.515254, 67.578970], [3.789349, 4.633483, 4.777175, 4.814178, 4.978914, 5.230528, 5.255024, 5.455718, 6.757373, 75.159741], [3.048406, 3.150354, 3.443096, 3.632471, 3.789289, 3.939476, 4.168402, 4.228763, 5.028020, 55.706996], [39.628609, 39.741565, 42.374910, 43.552108, 45.048977, 48.837718, 50.100078, 57.240375, 61.846781, 206.387801], [26.280096, 26.386387, 27.792115, 28.613478, 29.217263, 30.791946, 32.878469, 37.438370, 38.884288, 57.183413]]
### 6
fourier: [[7.617240, 8.118034, 8.238319, 8.593400, 8.685547, 8.795483, 9.168148, 10.758956, 14.300860, 49.677711], [14.316094, 15.256303, 15.399109, 16.154252, 16.306018, 16.550271, 17.199637, 20.221597, 26.856615, 48.034205], [21.610694, 23.032009, 23.411385, 24.378516, 24.649795, 24.944384, 26.025076, 30.523591, 40.582194, 59.392772], [3.595851, 3.814294, 3.831618, 4.059798, 4.084417, 4.169512, 4.300199, 5.079720, 6.732345, 66.332842], [8.111670, 8.643908, 8.670760, 9.155479, 9.227678, 9.390327, 9.725243, 11.458358, 15.203694, 27.219694]]
### 8
fourier: [[21.421178, 21.943534, 22.978150, 23.074424, 23.274046, 23.674449, 24.414884, 30.233186, 39.279849, 172.345572]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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172.34557211399078]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.20137, -1.515477, -0.277085, 0.195171, 0.26774], [-1.107534, -1.231847, 0.050384, 0.287898, 0.255789], [0.583795, 1.295098, 0.036379, 0.41192, 0.012761], [0.650925, 0.90043, 0.194309, 0.31253, 0.138825], [-0.547522, -0.960155, -0.215002, 0.015206, 0.493179]], "network.0.bias": [0.807546, 0.646992, -0.205048, -0.169529, 0.56008], "network.2.weight": [[0.540739, 0.712611, -1.051012, -0.328841, 0.760594], [0.273034, -0.335137, 0.463454, 0.686507, -0.210249], [-0.162535, -0.126167, -0.204499, -0.250323, -0.095831], [0.074471, -0.356286, 0.087137, -0.382592, -0.363561], [0.542488, 0.550949, -1.024525, -0.255076, 0.184452]], "network.2.bias": [0.213404, 0.005348, -0.380936, -0.454527, 0.451706], "network.4.weight": [[-0.469213, -0.161495, 0.346741, 0.084814, -0.193486], [-0.155267, -0.081248, 0.357829, -0.399153, -0.40891], [-0.198159, -0.067332, 0.184411, -0.378362, -0.161293], [0.657024, -0.682256, -0.252223, 0.189917, 0.854756], [0.965347, -0.336773, 0.067172, 0.030248, 0.511264]], "network.4.bias": [0.111689, -0.350804, -0.23903, 0.126237, 0.338176], "network.6.weight": [[-0.2086, -0.266787, -0.403493, -0.315607, -0.283785], [-0.927217, -0.117404, -0.069079, -0.549194, -0.569845], [-0.052453, 0.010231, 0.266594, 0.915567, 0.788381], [0.544225, 0.209818, -0.444323, -0.109996, -0.166323], [-0.105663, -0.41851, -0.023275, -0.282719, -0.3465]], "network.6.bias": [-0.29711, 1.01252, -0.063238, 0.857171, -0.03127], "network.8.weight": [[-0.434043, -1.089795, 0.674225, -0.585288, -0.105554]], "network.8.bias": [-1.05066]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7382428646087646, "train_acc": 0.435, "val_loss": 0.7018881440162659, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7008236050605774, "train_acc": 0.435, "val_loss": 0.6600198149681091, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6227723956108093, "train_acc": 0.595, "val_loss": 0.6038336753845215, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5296961963176727, "train_acc": 0.795, "val_loss": 0.5568718910217285, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4636636823415756, "train_acc": 0.91, "val_loss": 0.550691545009613, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4035486429929733, "train_acc": 0.9, "val_loss": 0.4786657392978668, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3516763299703598, "train_acc": 0.92, "val_loss": 0.41351622343063354, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.31607308983802795, "train_acc": 0.93, "val_loss": 0.33573341369628906, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.25878359377384186, "train_acc": 0.935, "val_loss": 0.25503814220428467, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.23028933256864548, "train_acc": 0.935, "val_loss": 0.2392185926437378, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20715446770191193, "train_acc": 0.93, "val_loss": 0.16320645809173584, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.19022777676582336, "train_acc": 0.95, "val_loss": 0.11848096549510956, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7018881440162659, "final_val_loss": 0.6600198149681091, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6038336753845215, "final_val_loss": 0.11848096549510956, "initial_val_acc": 0.76, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
230
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7957, "learning_rate": 0.03533255107717665, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[26.314537, 27.342235, 29.171920, 29.654229, 33.090443, 33.292093, 35.862882, 36.214139, 37.143296, 243.213637], [16.283429, 17.047672, 18.752234, 19.066598, 19.105142, 22.521594, 23.597005, 24.001067, 27.106434, 101.962415], [21.317827, 21.339795, 21.739971, 22.203747, 23.344728, 23.824818, 24.063677, 24.840306, 25.188932, 99.339212], [17.473242, 18.606477, 18.831191, 19.712802, 19.907867, 22.340865, 24.134140, 24.596818, 26.464582, 91.339632], [20.511740, 21.325031, 21.526539, 23.777733, 25.220699, 25.502421, 26.476251, 26.564905, 27.855253, 146.284232], [21.215580, 22.378510, 22.382565, 23.772080, 24.050184, 24.061804, 25.019575, 25.270524, 25.299720, 29.700993], [23.509152, 26.279577, 27.199521, 27.489986, 27.497203, 28.817870, 31.403534, 33.979557, 45.376154, 200.349156], [11.892937, 11.976831, 11.998388, 14.485298, 15.361482, 18.039946, 21.701666, 23.498268, 25.019196, 101.640314]]
### 2
fourier: [[45.234037, 48.693073, 49.929890, 50.320940, 55.712990, 58.178876, 58.618882, 61.011220, 61.790433, 377.528140], [10.271155, 10.359532, 10.372317, 10.606782, 11.044028, 11.498153, 12.861676, 13.690349, 17.720412, 18.110844], [47.120340, 50.519828, 52.013039, 53.995313, 54.678738, 56.298341, 59.475084, 63.551907, 70.623930, 377.698802], [36.587401, 37.493530, 38.771804, 41.635205, 43.988284, 44.080752, 45.790588, 47.180705, 56.496658, 269.914792], [10.694122, 10.748625, 12.168618, 12.603715, 12.760190, 13.374642, 13.524062, 16.578467, 21.002755, 32.527582], [6.277237, 6.628229, 6.663690, 6.693111, 7.364196, 7.731425, 7.797741, 8.924366, 9.127762, 11.420351], [5.808714, 6.015807, 6.435352, 6.710877, 6.973446, 7.253188, 7.332676, 7.376781, 9.480671, 56.008349], [12.502818, 12.786886, 13.161510, 13.208746, 13.744930, 14.951454, 15.610730, 16.188006, 20.496836, 21.336599]]
### 4
fourier: [[56.090332, 56.246504, 58.647915, 60.250082, 65.745714, 66.035564, 70.567689, 72.062379, 77.555312, 473.158396], [12.337603, 12.727983, 13.001415, 13.354460, 13.887923, 14.326776, 15.718461, 17.016385, 22.523753, 85.338224], [4.209375, 4.417385, 4.704674, 4.750601, 4.907402, 5.258136, 5.511291, 6.300378, 9.308562, 28.047872], [11.373197, 11.485730, 12.084808, 12.116977, 12.318109, 12.486875, 12.665439, 14.856008, 18.168570, 54.658246], [12.645397, 13.542131, 14.475560, 14.577659, 15.286153, 15.744798, 16.159341, 17.456536, 23.655038, 67.960866], [19.067546, 20.692006, 20.771677, 21.601891, 24.120636, 24.772162, 25.146956, 26.147340, 26.184175, 177.341112], [39.227591, 41.486778, 43.551238, 44.047218, 44.887939, 47.302884, 50.569409, 53.976540, 60.770601, 300.394880], [51.134913, 52.701068, 54.702649, 56.077120, 60.222048, 60.667996, 63.439998, 69.041845, 79.856792, 409.255913]]
### 6
fourier: [[7.337879, 7.431109, 7.656854, 7.851555, 8.093511, 8.101274, 8.360385, 8.420127, 8.658034, 42.042318], [50.069020, 50.816935, 51.082009, 55.085450, 58.084173, 58.536102, 62.925834, 68.693583, 78.375894, 422.886935], [20.691198, 21.193769, 22.191014, 22.844285, 24.589758, 24.627887, 26.198227, 26.898374, 28.223150, 163.277303], [64.247778, 67.326035, 67.904733, 71.433661, 76.742153, 77.424730, 82.826280, 88.987775, 99.834497, 536.022333], [46.411616, 48.201821, 49.512490, 51.424753, 55.398005, 55.815464, 59.542053, 62.533136, 67.660278, 411.064878], [4.505383, 4.898352, 4.964071, 5.510185, 5.929291, 6.199171, 6.350310, 6.409232, 7.011069, 97.280044], [3.934206, 4.704460, 4.891752, 4.893685, 5.129820, 5.788527, 6.000169, 6.051812, 6.800440, 40.581565], [17.195342, 18.274173, 18.919002, 20.257145, 20.359541, 20.699149, 22.068487, 24.542491, 28.381111, 174.974967]]
### 8
fourier: [[10.408649, 10.835589, 11.043889, 11.726641, 12.578707, 12.600578, 13.633682, 14.938614, 16.290621, 87.005024], [25.056898, 26.169030, 26.253602, 27.752714, 29.586514, 29.777591, 32.801685, 34.939603, 39.415538, 192.858926], [27.265564, 27.379058, 28.077106, 29.941704, 31.963888, 31.966965, 35.096728, 37.822642, 41.931260, 217.190575], [38.197217, 39.617222, 39.653978, 42.293756, 45.021157, 45.207514, 49.794599, 53.107922, 59.821802, 298.607121], [4.408528, 4.463449, 4.585569, 4.904967, 5.276294, 5.290366, 5.597851, 6.230094, 6.745864, 46.267618], [11.563169, 11.670186, 11.807960, 12.946760, 13.225649, 13.288960, 14.997597, 16.051702, 18.459178, 120.559578], [64.924737, 65.014953, 66.475824, 71.386169, 76.201729, 76.213030, 83.273615, 89.847057, 99.292895, 542.227872], [8.046428, 8.111870, 8.349092, 8.908371, 9.231134, 9.317356, 10.322307, 10.932482, 12.849615, 103.582802]]
### 10
fourier: [[29.281611, 29.479373, 30.005027, 32.308561, 34.428880, 34.446098, 37.798409, 40.728208, 44.908009, 240.261224]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[26.314537, 27.342235, 29.171920, 29.654229, 33.090443, 33.292093, 35.862882, 36.214139, 37.143296, 243.213637], [16.283429, 17.047672, 18.752234, 19.066598, 19.105142, 22.521594, 23.597005, 24.001067, 27.106434, 101.962415], [21.317827, 21.339795, 21.739971, 22.203747, 23.344728, 23.824818, 24.063677, 24.840306, 25.188932, 99.339212], [17.473242, 18.606477, 18.831191, 19.712802, 19.907867, 22.340865, 24.134140, 24.596818, 26.464582, 91.339632], [20.511740, 21.325031, 21.526539, 23.777733, 25.220699, 25.502421, 26.476251, 26.564905, 27.855253, 146.284232], [21.215580, 22.378510, 22.382565, 23.772080, 24.050184, 24.061804, 25.019575, 25.270524, 25.299720, 29.700993], [23.509152, 26.279577, 27.199521, 27.489986, 27.497203, 28.817870, 31.403534, 33.979557, 45.376154, 200.349156], [11.892937, 11.976831, 11.998388, 14.485298, 15.361482, 18.039946, 21.701666, 23.498268, 25.019196, 101.640314]]
### 2
fourier: [[45.234037, 48.693073, 49.929890, 50.320940, 55.712990, 58.178876, 58.618882, 61.011220, 61.790433, 377.528140], [10.271155, 10.359532, 10.372317, 10.606782, 11.044028, 11.498153, 12.861676, 13.690349, 17.720412, 18.110844], [47.120340, 50.519828, 52.013039, 53.995313, 54.678738, 56.298341, 59.475084, 63.551907, 70.623930, 377.698802], [36.587401, 37.493530, 38.771804, 41.635205, 43.988284, 44.080752, 45.790588, 47.180705, 56.496658, 269.914792], [10.694122, 10.748625, 12.168618, 12.603715, 12.760190, 13.374642, 13.524062, 16.578467, 21.002755, 32.527582], [6.277237, 6.628229, 6.663690, 6.693111, 7.364196, 7.731425, 7.797741, 8.924366, 9.127762, 11.420351], [5.808714, 6.015807, 6.435352, 6.710877, 6.973446, 7.253188, 7.332676, 7.376781, 9.480671, 56.008349], [12.502818, 12.786886, 13.161510, 13.208746, 13.744930, 14.951454, 15.610730, 16.188006, 20.496836, 21.336599]]
### 4
fourier: [[56.090332, 56.246504, 58.647915, 60.250082, 65.745714, 66.035564, 70.567689, 72.062379, 77.555312, 473.158396], [12.337603, 12.727983, 13.001415, 13.354460, 13.887923, 14.326776, 15.718461, 17.016385, 22.523753, 85.338224], [4.209375, 4.417385, 4.704674, 4.750601, 4.907402, 5.258136, 5.511291, 6.300378, 9.308562, 28.047872], [11.373197, 11.485730, 12.084808, 12.116977, 12.318109, 12.486875, 12.665439, 14.856008, 18.168570, 54.658246], [12.645397, 13.542131, 14.475560, 14.577659, 15.286153, 15.744798, 16.159341, 17.456536, 23.655038, 67.960866], [19.067546, 20.692006, 20.771677, 21.601891, 24.120636, 24.772162, 25.146956, 26.147340, 26.184175, 177.341112], [39.227591, 41.486778, 43.551238, 44.047218, 44.887939, 47.302884, 50.569409, 53.976540, 60.770601, 300.394880], [51.134913, 52.701068, 54.702649, 56.077120, 60.222048, 60.667996, 63.439998, 69.041845, 79.856792, 409.255913]]
### 6
fourier: [[7.337879, 7.431109, 7.656854, 7.851555, 8.093511, 8.101274, 8.360385, 8.420127, 8.658034, 42.042318], [50.069020, 50.816935, 51.082009, 55.085450, 58.084173, 58.536102, 62.925834, 68.693583, 78.375894, 422.886935], [20.691198, 21.193769, 22.191014, 22.844285, 24.589758, 24.627887, 26.198227, 26.898374, 28.223150, 163.277303], [64.247778, 67.326035, 67.904733, 71.433661, 76.742153, 77.424730, 82.826280, 88.987775, 99.834497, 536.022333], [46.411616, 48.201821, 49.512490, 51.424753, 55.398005, 55.815464, 59.542053, 62.533136, 67.660278, 411.064878], [4.505383, 4.898352, 4.964071, 5.510185, 5.929291, 6.199171, 6.350310, 6.409232, 7.011069, 97.280044], [3.934206, 4.704460, 4.891752, 4.893685, 5.129820, 5.788527, 6.000169, 6.051812, 6.800440, 40.581565], [17.195342, 18.274173, 18.919002, 20.257145, 20.359541, 20.699149, 22.068487, 24.542491, 28.381111, 174.974967]]
### 8
fourier: [[10.408649, 10.835589, 11.043889, 11.726641, 12.578707, 12.600578, 13.633682, 14.938614, 16.290621, 87.005024], [25.056898, 26.169030, 26.253602, 27.752714, 29.586514, 29.777591, 32.801685, 34.939603, 39.415538, 192.858926], [27.265564, 27.379058, 28.077106, 29.941704, 31.963888, 31.966965, 35.096728, 37.822642, 41.931260, 217.190575], [38.197217, 39.617222, 39.653978, 42.293756, 45.021157, 45.207514, 49.794599, 53.107922, 59.821802, 298.607121], [4.408528, 4.463449, 4.585569, 4.904967, 5.276294, 5.290366, 5.597851, 6.230094, 6.745864, 46.267618], [11.563169, 11.670186, 11.807960, 12.946760, 13.225649, 13.288960, 14.997597, 16.051702, 18.459178, 120.559578], [64.924737, 65.014953, 66.475824, 71.386169, 76.201729, 76.213030, 83.273615, 89.847057, 99.292895, 542.227872], [8.046428, 8.111870, 8.349092, 8.908371, 9.231134, 9.317356, 10.322307, 10.932482, 12.849615, 103.582802]]
### 10
fourier: [[29.281611, 29.479373, 30.005027, 32.308561, 34.428880, 34.446098, 37.798409, 40.728208, 44.908009, 240.261224]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.588943, 0.35464, 0.444831, 0.1923, -0.134317], [0.316778, 0.069119, 0.495095, -0.031356, -0.189246], [0.511046, 0.492572, -0.165891, -0.12931, 0.171364], [0.595939, 0.008086, -0.198776, 0.475176, -0.199362], [0.471823, 0.135005, 0.392545, 0.031831, -0.051391], [-0.633337, -0.166959, 0.098938, 0.180581, 0.578313], [0.297061, 0.253404, 0.639653, -0.369288, 0.22104], [-0.2937, 0.042677, 0.000608, -0.119082, -0.446496]], "network.0.bias": [0.147315, -0.120802, -0.017299, -0.09935, -0.032647, 0.033916, 0.577803, -0.036836], "network.2.weight": [[0.51233, 0.461073, -0.068569, 0.270826, 0.528249, 0.00326, 0.494773, 0.075502], [0.264555, -0.187279, -0.30388, -0.046231, -0.31273, 0.224698, -0.042883, 0.490574], [0.429114, 0.473175, 0.135116, 0.446898, 0.455854, -0.450146, 0.429584, -0.087771], [0.293499, 0.470613, 0.354642, -0.015483, 0.355761, -0.373696, 0.281038, -0.2403], [-0.190579, -0.115881, -0.1407, 0.487291, -0.206615, -0.174217, -0.086878, 0.101741], [0.060453, -0.132583, 0.040267, -0.396485, 0.022058, -0.135954, 0.161828, -0.080502], [-0.204714, -0.047333, 0.195822, -0.266785, 0.048959, -0.07521, 0.061769, 0.206164], [0.098941, -0.103968, -0.521417, -0.255061, 0.258584, 0.530077, -0.053462, 0.177609]], "network.2.bias": [0.179463, 0.181128, 0.496102, 0.348317, 0.527807, -0.053612, -0.095902, -0.115979], "network.4.weight": [[0.547732, -0.159412, 0.422267, 0.228175, -0.145606, -0.250028, -0.458987, 0.036807], [0.330066, 0.153019, -0.310344, -0.344075, -0.383371, -0.322888, -0.427366, 0.16481], [-0.079011, -0.239272, -0.096623, 0.297104, -0.028776, -0.172808, -0.266371, -0.355038], [-0.056, 0.207344, -0.163221, -0.010971, -0.426549, -0.40747, -0.261012, 0.245608], [0.143177, 0.127739, -0.113304, -0.34606, 0.254658, -0.30303, -0.254574, 0.452106], [-0.438657, -0.404059, -0.030152, 0.063483, 0.334538, 0.17897, 0.045859, 0.276697], [0.100886, -0.159261, 0.432128, 0.389052, 0.098984, -0.384933, -0.058893, -0.245525], [0.156477, -0.191797, 0.435224, 0.599853, 0.064402, 0.195214, -0.543896, -0.550706]], "network.4.bias": [0.527813, -0.04891, -0.406334, 0.306423, 0.018922, -0.254123, 0.016943, 0.338504], "network.6.weight": [[-0.152941, -0.269052, -0.29595, 0.217679, -0.295352, -0.160928, -0.120921, 0.142255], [0.243883, -0.358502, -0.57603, -0.374459, -0.536317, -0.186708, 0.491921, 0.328175], [-0.324379, -0.444382, 0.217091, 0.194215, 0.110108, -0.144554, -0.183644, 0.098572], [0.373429, -0.196793, -0.231075, -0.388508, -0.265141, 0.125157, 0.407235, 0.544705], [-0.474718, -0.256723, 0.381686, 0.428963, -0.084119, 0.050996, -0.289929, -0.17134], [-0.412896, -0.199219, 0.532181, -0.155523, -0.303063, 0.584802, 0.30843, 0.102451], [0.044718, -0.381842, 0.259589, -0.264895, -0.359276, -0.269914, -0.058141, -0.087083], [0.161485, -0.266076, -0.303976, -0.309815, -0.296815, 0.126814, 0.299122, -0.064253]], "network.6.bias": [0.042822, 0.235765, 0.024427, 0.174609, -0.330808, -0.335291, -0.127734, 0.371692], "network.8.weight": [[-0.103533, 0.156652, 0.377588, 0.026004, 0.442398, -0.032675, -0.155717, 0.026758], [0.271156, 0.343346, 0.365021, 0.138339, -0.140284, -0.063761, 0.161389, -0.04268], [-0.117393, 0.475851, 0.444111, 0.039594, 0.234582, 0.115946, 0.011931, 0.012187], [-0.367059, -0.520279, -0.312825, -0.186257, 0.196209, 0.114211, -0.349564, -0.029827], [-0.223013, -0.0168, 0.08462, -0.043728, -0.35217, 0.32694, 0.23338, -0.037625], [0.055689, -0.307763, -0.20136, 0.150496, 0.264996, -0.224553, -0.265422, -0.326455], [-0.228027, 0.602659, -0.004071, 0.391795, 0.227799, -0.337057, -0.015081, 0.462504], [-0.516699, -0.020117, 0.233411, -0.059176, 0.112545, 0.409041, -0.139456, -0.207693]], "network.8.bias": [0.043328, -0.149994, -0.021727, 0.206097, -0.060153, -0.241253, -0.04657, -0.298427], "network.10.weight": [[-0.038855, -0.11943, -0.119526, 0.351259, -0.030019, 0.18469, -0.34956, 0.076577]], "network.10.bias": [0.029964]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.70905601978302, "train_acc": 0.445, "val_loss": 0.6937954425811768, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829107403755188, "train_acc": 0.575, "val_loss": 0.6596118211746216, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6240877211093903, "train_acc": 0.575, "val_loss": 0.5761550068855286, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5197142362594604, "train_acc": 0.625, "val_loss": 0.45232266187667847, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.46692129969596863, "train_acc": 0.785, "val_loss": 0.4992690980434418, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.42015106976032257, "train_acc": 0.855, "val_loss": 0.49936604499816895, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3889002054929733, "train_acc": 0.85, "val_loss": 0.46486350893974304, "val_acc": 0.74}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6937954425811768, "final_val_loss": 0.5761550068855286, "initial_val_acc": 0.46, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.45232266187667847, "final_val_loss": 0.46486350893974304, "initial_val_acc": 0.86, "final_val_acc": 0.74, "best_val_acc": 0.86, "best_epoch": 3}, "improvement": 0.31999999999999995, "first_improvement_epoch": 2}}
|
231
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.78, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8310, "learning_rate": 0.07285521662440253, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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],
[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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],
"network.4.bias": [
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],
"network.6.weight": [
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[
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[
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"network.8.weight": [
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[
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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
fourier: [[28.536695, 29.735802, 29.927875, 37.091004, 37.267108, 38.006657, 43.038139, 44.028931, 50.469878, 118.758426], [23.065414, 25.131415, 26.519999, 27.594177, 27.652093, 27.985819, 28.036792, 31.108902, 38.544241, 258.443739], [22.617958, 22.934250, 25.522085, 25.675209, 26.862386, 28.054438, 29.877593, 31.015123, 33.948726, 69.130446], [21.715597, 22.103120, 22.385532, 23.313186, 24.125782, 24.663084, 27.786813, 28.245840, 31.879468, 33.466408], [21.032760, 21.859573, 22.489001, 22.692416, 25.085943, 25.099154, 25.131795, 25.969814, 33.622109, 85.231817]]
### 2
fourier: [[10.041012, 10.081259, 10.405924, 10.487935, 10.603585, 12.636863, 13.733338, 14.679141, 16.542928, 84.578252], [11.600230, 12.376332, 12.794667, 13.054706, 13.196612, 14.530109, 14.743878, 16.511505, 17.371734, 23.361288], [34.569660, 34.943009, 35.231126, 37.593270, 40.191649, 44.567633, 57.454551, 58.550805, 68.714797, 76.966877], [27.284836, 28.554291, 28.772807, 29.002860, 30.885828, 33.172532, 45.140216, 49.295724, 53.054593, 70.224977], [15.345543, 15.486648, 16.078764, 16.641447, 19.398373, 20.358403, 22.456021, 24.291308, 29.709608, 109.218217]]
### 4
fourier: [[48.758156, 49.935747, 56.058871, 61.713558, 65.183091, 71.815270, 71.840293, 78.056203, 95.934400, 218.753234], [16.396957, 16.725845, 19.351849, 20.379326, 21.588771, 24.441045, 24.653899, 26.107891, 31.738446, 40.623484], [11.532066, 12.248528, 12.645674, 13.426653, 15.839984, 18.236832, 18.810543, 19.285978, 21.452286, 76.394743], [18.421778, 19.072044, 20.942576, 22.954451, 22.973976, 24.547706, 25.078565, 28.024084, 35.393032, 124.094196], [12.187093, 12.525206, 13.919105, 14.971765, 15.102080, 16.133176, 16.485781, 18.404186, 23.243682, 93.711013]]
### 6
fourier: [[25.460517, 26.074548, 29.809638, 34.246014, 34.939335, 36.548550, 36.548701, 39.418097, 49.978809, 171.749108], [32.970675, 34.111664, 37.647121, 39.792349, 43.849509, 49.765683, 52.338992, 55.367516, 60.450147, 63.550727], [40.994823, 42.117285, 47.771062, 53.733238, 55.960485, 59.710602, 60.329776, 65.062648, 80.641714, 164.855672], [27.013066, 27.570308, 31.490262, 34.840731, 36.812240, 39.946986, 40.990542, 43.750560, 53.017726, 87.308469], [50.557869, 51.503232, 59.077751, 66.098611, 69.081857, 74.187102, 75.779621, 80.830375, 99.124880, 164.133393]]
### 8
fourier: [[99.162257, 103.407850, 117.166885, 135.008039, 135.897133, 140.407954, 147.224094, 148.372153, 197.977203, 466.914457], [0.175345, 0.180666, 0.211529, 0.216350, 0.220206, 0.234845, 0.239273, 0.276300, 0.297266, 38.788163], [33.083137, 34.633317, 39.318257, 45.337516, 45.667286, 47.115557, 49.452829, 49.661300, 66.191283, 194.688526], [41.317321, 43.164425, 48.938114, 56.411412, 56.807674, 58.607959, 61.529670, 61.881429, 82.573183, 207.574959], [4.814461, 5.057658, 5.667614, 6.229516, 6.634450, 6.879085, 7.046047, 7.795885, 9.563929, 84.463473]]
### 10
fourier: [[83.102575, 87.427951, 98.460508, 113.244446, 114.735498, 117.242632, 123.590061, 124.108502, 166.755352, 328.411474]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
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],
[
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0.676693
],
[
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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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0.019991
],
"network.4.weight": [
[
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1.035985,
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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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0.01761
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[
0.855611,
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[
0.532745,
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[
1.01323,
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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"network.8.bias": [
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"network.10.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[28.536695, 29.735802, 29.927875, 37.091004, 37.267108, 38.006657, 43.038139, 44.028931, 50.469878, 118.758426], [23.065414, 25.131415, 26.519999, 27.594177, 27.652093, 27.985819, 28.036792, 31.108902, 38.544241, 258.443739], [22.617958, 22.934250, 25.522085, 25.675209, 26.862386, 28.054438, 29.877593, 31.015123, 33.948726, 69.130446], [21.715597, 22.103120, 22.385532, 23.313186, 24.125782, 24.663084, 27.786813, 28.245840, 31.879468, 33.466408], [21.032760, 21.859573, 22.489001, 22.692416, 25.085943, 25.099154, 25.131795, 25.969814, 33.622109, 85.231817]]
### 2
fourier: [[10.041012, 10.081259, 10.405924, 10.487935, 10.603585, 12.636863, 13.733338, 14.679141, 16.542928, 84.578252], [11.600230, 12.376332, 12.794667, 13.054706, 13.196612, 14.530109, 14.743878, 16.511505, 17.371734, 23.361288], [34.569660, 34.943009, 35.231126, 37.593270, 40.191649, 44.567633, 57.454551, 58.550805, 68.714797, 76.966877], [27.284836, 28.554291, 28.772807, 29.002860, 30.885828, 33.172532, 45.140216, 49.295724, 53.054593, 70.224977], [15.345543, 15.486648, 16.078764, 16.641447, 19.398373, 20.358403, 22.456021, 24.291308, 29.709608, 109.218217]]
### 4
fourier: [[48.758156, 49.935747, 56.058871, 61.713558, 65.183091, 71.815270, 71.840293, 78.056203, 95.934400, 218.753234], [16.396957, 16.725845, 19.351849, 20.379326, 21.588771, 24.441045, 24.653899, 26.107891, 31.738446, 40.623484], [11.532066, 12.248528, 12.645674, 13.426653, 15.839984, 18.236832, 18.810543, 19.285978, 21.452286, 76.394743], [18.421778, 19.072044, 20.942576, 22.954451, 22.973976, 24.547706, 25.078565, 28.024084, 35.393032, 124.094196], [12.187093, 12.525206, 13.919105, 14.971765, 15.102080, 16.133176, 16.485781, 18.404186, 23.243682, 93.711013]]
### 6
fourier: [[25.460517, 26.074548, 29.809638, 34.246014, 34.939335, 36.548550, 36.548701, 39.418097, 49.978809, 171.749108], [32.970675, 34.111664, 37.647121, 39.792349, 43.849509, 49.765683, 52.338992, 55.367516, 60.450147, 63.550727], [40.994823, 42.117285, 47.771062, 53.733238, 55.960485, 59.710602, 60.329776, 65.062648, 80.641714, 164.855672], [27.013066, 27.570308, 31.490262, 34.840731, 36.812240, 39.946986, 40.990542, 43.750560, 53.017726, 87.308469], [50.557869, 51.503232, 59.077751, 66.098611, 69.081857, 74.187102, 75.779621, 80.830375, 99.124880, 164.133393]]
### 8
fourier: [[99.162257, 103.407850, 117.166885, 135.008039, 135.897133, 140.407954, 147.224094, 148.372153, 197.977203, 466.914457], [0.175345, 0.180666, 0.211529, 0.216350, 0.220206, 0.234845, 0.239273, 0.276300, 0.297266, 38.788163], [33.083137, 34.633317, 39.318257, 45.337516, 45.667286, 47.115557, 49.452829, 49.661300, 66.191283, 194.688526], [41.317321, 43.164425, 48.938114, 56.411412, 56.807674, 58.607959, 61.529670, 61.881429, 82.573183, 207.574959], [4.814461, 5.057658, 5.667614, 6.229516, 6.634450, 6.879085, 7.046047, 7.795885, 9.563929, 84.463473]]
### 10
fourier: [[83.102575, 87.427951, 98.460508, 113.244446, 114.735498, 117.242632, 123.590061, 124.108502, 166.755352, 328.411474]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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{"neuron_profiles": {"0": {"fourier": [83.10257494225188, 87.4279514500736, 98.4605084682777, 113.2444464366482, 114.73549837002726, 117.24263180225306, 123.59006127798808, 124.10850171384894, 166.75535178396257, 328.41147404909134]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.649608, 0.054938, 0.031263, -0.418061, 0.861153], [-0.416702, -0.160454, -0.443988, -0.320727, -0.231626], [-0.699521, 0.193843, 0.080206, 0.21888, 0.676693], [0.131608, -0.333592, -0.068867, -0.238285, 0.839084], [-0.417431, 0.137658, 0.697227, -0.025651, -0.554524]], "network.0.bias": [0.180143, -0.159758, -0.186098, 0.100384, 0.498137], "network.2.weight": [[-0.211284, -0.218224, 0.366528, -0.23782, 0.149566], [-0.05461, -0.311275, 0.203386, 0.628165, -0.272528], [0.74344, 0.376283, 0.254231, 0.750379, -0.777379], [0.47204, 0.012529, 0.159357, 0.578845, -0.889395], [-0.367277, -0.29577, -0.209355, -0.438767, -0.086135]], "network.2.bias": [0.858116, -0.197815, -0.22465, 0.500125, 0.019991], "network.4.weight": [[-0.53971, 0.403654, 1.035985, 0.729482, -0.261576], [0.505649, -0.725357, -0.24874, -0.078164, -0.198739], [0.685984, -0.463583, -0.278287, 0.123848, -0.37375], [-0.147973, -0.036315, -0.209643, -0.586796, 0.265508], [-0.062031, -0.13029, -0.107551, -0.376518, -0.252275]], "network.4.bias": [0.268298, -0.187701, 0.607093, -0.126756, -0.269883], "network.6.weight": [[-0.546849, -0.241515, 0.03626, -0.44586, -0.194979], [0.568896, -0.429883, -0.816268, -0.56349, 0.01761], [0.855611, -0.166938, -0.090701, 0.475476, -0.121298], [0.532745, -0.065017, -0.312969, 0.171078, 0.166374], [1.01323, 0.223424, -0.560853, 0.022361, 0.112042]], "network.6.bias": [-0.416702, 0.108543, -0.312932, -0.11422, -0.372081], "network.8.weight": [[0.285723, 0.467553, 0.750855, 0.546173, 0.955989], [-0.394538, 0.053739, -0.044883, -0.240777, 0.132231], [-0.311457, -0.444851, -0.339477, 0.360054, -0.365583], [-0.039251, -0.356698, -0.382654, 0.249481, -0.499847], [-0.449571, 0.00939, 0.407857, 0.145089, -0.322035]], "network.8.bias": [-0.202266, 0.441624, -0.358738, -0.058543, 0.656987], "network.10.weight": [[-0.869848, 0.555728, -0.131458, 0.063319, 0.471714]], "network.10.bias": [0.284454]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6956146955490112, "train_acc": 0.455, "val_loss": 0.6592039465904236, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6395301222801208, "train_acc": 0.555, "val_loss": 0.576270341873169, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5706365704536438, "train_acc": 0.485, "val_loss": 0.4738064706325531, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4598037898540497, "train_acc": 0.835, "val_loss": 0.45052188634872437, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3915574848651886, "train_acc": 0.85, "val_loss": 0.42467185854911804, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36352890729904175, "train_acc": 0.845, "val_loss": 0.48114097118377686, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3996990919113159, "train_acc": 0.835, "val_loss": 0.47908157110214233, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.35755598545074463, "train_acc": 0.845, "val_loss": 0.4897738993167877, "val_acc": 0.78}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6592039465904236, "final_val_loss": 0.576270341873169, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4738064706325531, "final_val_loss": 0.4897738993167877, "initial_val_acc": 0.76, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 4}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
232
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.78, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7386, "learning_rate": 0.07759988338920634, "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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}
## Activation Signature
### 0
fourier: [[44.957695, 44.974193, 45.249041, 45.741696, 52.905676, 57.598162, 59.618878, 59.788959, 60.096257, 73.378026], [19.298003, 19.416563, 20.788810, 21.523292, 22.969894, 24.755267, 26.237807, 27.054937, 29.012777, 32.303709], [38.332025, 38.488063, 38.572370, 40.546407, 41.268357, 42.034681, 43.234940, 45.511102, 50.637234, 63.969889], [35.467046, 36.948962, 37.344599, 38.179752, 40.348293, 43.580815, 45.217560, 46.554077, 54.975494, 64.768800], [43.660701, 43.846115, 46.410957, 46.693142, 50.907176, 52.322819, 55.081011, 58.855650, 65.781487, 132.050726], [25.971659, 26.715244, 26.749227, 26.976916, 28.461498, 28.566398, 30.209573, 30.467365, 30.734975, 36.729464]]
### 2
fourier: [[58.064004, 61.764955, 64.932469, 70.660926, 74.916767, 76.005759, 84.640172, 89.514304, 93.267534, 201.930987], [46.065573, 49.498544, 56.575442, 60.704406, 60.708532, 64.026133, 70.597771, 77.917559, 95.471525, 130.464169], [54.796896, 58.140854, 64.642461, 69.573955, 70.570853, 76.180330, 82.192677, 83.878771, 105.145324, 165.020667], [38.813524, 39.338719, 42.712434, 44.143984, 49.663254, 55.596186, 56.483802, 58.583974, 58.997650, 88.965377], [41.369718, 43.261643, 44.107199, 49.451832, 51.766810, 57.216745, 59.289921, 69.494271, 77.564540, 82.717349], [53.623090, 57.392972, 63.350107, 69.139910, 70.029077, 75.977812, 80.947767, 81.263382, 102.070053, 103.420151]]
### 4
fourier: [[84.639932, 88.767127, 91.390176, 98.274306, 108.230851, 110.073797, 118.319180, 125.894290, 140.095986, 290.841291], [114.109184, 121.314284, 125.881136, 133.484804, 147.849719, 149.693216, 161.238761, 171.664719, 189.875859, 362.492529], [119.002756, 129.190157, 131.277032, 143.385505, 153.298203, 156.884225, 163.721147, 166.428349, 204.287860, 628.668964], [83.164235, 91.715682, 94.687179, 103.167004, 107.702212, 113.803271, 118.187763, 132.128222, 141.319417, 342.326622], [103.087702, 105.687631, 110.367853, 117.281762, 128.859274, 130.033926, 140.840607, 160.540477, 168.001227, 387.292318], [18.634343, 19.070696, 19.093102, 20.287213, 21.196471, 22.293801, 25.707651, 27.516132, 28.536051, 137.545071]]
### 6
fourier: [[300.290535, 303.587067, 316.353113, 364.940869, 377.174977, 390.119121, 393.509875, 402.332949, 459.290508, 1259.791256], [32.106949, 36.258504, 36.963908, 39.161925, 41.358999, 42.986512, 46.496624, 47.272327, 50.696210, 225.811206], [13.711706, 13.873145, 13.879269, 14.120503, 14.539908, 15.278479, 16.057185, 18.200178, 18.834949, 20.288883], [154.291247, 169.285728, 169.609685, 193.184104, 198.443841, 207.851489, 213.828971, 230.815280, 246.082034, 718.188825], [417.075000, 431.333530, 444.322755, 513.142508, 522.143116, 550.342470, 551.049344, 577.284199, 649.260649, 1812.169020], [148.782916, 162.719683, 163.568939, 186.033321, 191.052960, 200.241978, 205.562053, 221.761249, 236.450822, 648.699988]]
### 8
fourier: [[256.011807, 270.691069, 277.643431, 320.407244, 321.403483, 338.176473, 346.595509, 364.880218, 400.951186, 1093.693961], [220.554748, 233.609449, 241.173349, 275.177927, 278.381548, 291.432366, 299.910930, 314.132090, 343.366745, 969.838587], [153.000767, 163.329263, 166.562582, 191.202535, 193.114199, 202.749169, 208.426657, 220.798577, 241.784500, 732.901810], [238.108046, 253.352257, 259.749820, 297.311845, 300.570497, 314.888637, 324.008160, 341.661343, 374.059863, 1043.070005], [113.902599, 118.244874, 121.773865, 141.155449, 143.203913, 149.870723, 152.024347, 159.471256, 177.129811, 528.117664], [121.264635, 128.056365, 131.785471, 151.439860, 152.310518, 160.141095, 164.018253, 172.427115, 189.473936, 553.259365]]
### 10
fourier: [[182.686980, 199.807541, 202.019690, 228.737398, 234.654729, 243.502635, 255.620075, 271.853094, 292.909348, 857.804328], [134.094765, 150.783650, 150.927960, 168.667301, 175.420817, 180.770885, 193.701659, 206.899494, 219.169688, 657.527869], [9.010076, 10.766823, 11.260254, 11.294950, 12.226443, 12.497707, 14.496769, 14.539446, 15.372967, 84.202037], [113.741765, 129.524930, 130.956465, 143.180341, 150.852736, 154.566466, 167.853552, 180.314304, 188.739024, 518.690036], [84.548527, 96.542506, 98.270071, 106.886071, 112.733809, 115.327565, 126.115132, 135.735414, 141.514257, 419.122710], [70.138026, 71.593382, 74.951347, 86.296754, 86.764035, 91.169137, 91.448423, 95.548806, 107.199603, 371.250732]]
### 12
fourier: [[178.262855, 198.047773, 198.394382, 224.976454, 231.188824, 239.571700, 254.058068, 270.493916, 289.285265, 868.886501]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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:
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}
## Activation Signature
### 0
fourier: [[44.957695, 44.974193, 45.249041, 45.741696, 52.905676, 57.598162, 59.618878, 59.788959, 60.096257, 73.378026], [19.298003, 19.416563, 20.788810, 21.523292, 22.969894, 24.755267, 26.237807, 27.054937, 29.012777, 32.303709], [38.332025, 38.488063, 38.572370, 40.546407, 41.268357, 42.034681, 43.234940, 45.511102, 50.637234, 63.969889], [35.467046, 36.948962, 37.344599, 38.179752, 40.348293, 43.580815, 45.217560, 46.554077, 54.975494, 64.768800], [43.660701, 43.846115, 46.410957, 46.693142, 50.907176, 52.322819, 55.081011, 58.855650, 65.781487, 132.050726], [25.971659, 26.715244, 26.749227, 26.976916, 28.461498, 28.566398, 30.209573, 30.467365, 30.734975, 36.729464]]
### 2
fourier: [[58.064004, 61.764955, 64.932469, 70.660926, 74.916767, 76.005759, 84.640172, 89.514304, 93.267534, 201.930987], [46.065573, 49.498544, 56.575442, 60.704406, 60.708532, 64.026133, 70.597771, 77.917559, 95.471525, 130.464169], [54.796896, 58.140854, 64.642461, 69.573955, 70.570853, 76.180330, 82.192677, 83.878771, 105.145324, 165.020667], [38.813524, 39.338719, 42.712434, 44.143984, 49.663254, 55.596186, 56.483802, 58.583974, 58.997650, 88.965377], [41.369718, 43.261643, 44.107199, 49.451832, 51.766810, 57.216745, 59.289921, 69.494271, 77.564540, 82.717349], [53.623090, 57.392972, 63.350107, 69.139910, 70.029077, 75.977812, 80.947767, 81.263382, 102.070053, 103.420151]]
### 4
fourier: [[84.639932, 88.767127, 91.390176, 98.274306, 108.230851, 110.073797, 118.319180, 125.894290, 140.095986, 290.841291], [114.109184, 121.314284, 125.881136, 133.484804, 147.849719, 149.693216, 161.238761, 171.664719, 189.875859, 362.492529], [119.002756, 129.190157, 131.277032, 143.385505, 153.298203, 156.884225, 163.721147, 166.428349, 204.287860, 628.668964], [83.164235, 91.715682, 94.687179, 103.167004, 107.702212, 113.803271, 118.187763, 132.128222, 141.319417, 342.326622], [103.087702, 105.687631, 110.367853, 117.281762, 128.859274, 130.033926, 140.840607, 160.540477, 168.001227, 387.292318], [18.634343, 19.070696, 19.093102, 20.287213, 21.196471, 22.293801, 25.707651, 27.516132, 28.536051, 137.545071]]
### 6
fourier: [[300.290535, 303.587067, 316.353113, 364.940869, 377.174977, 390.119121, 393.509875, 402.332949, 459.290508, 1259.791256], [32.106949, 36.258504, 36.963908, 39.161925, 41.358999, 42.986512, 46.496624, 47.272327, 50.696210, 225.811206], [13.711706, 13.873145, 13.879269, 14.120503, 14.539908, 15.278479, 16.057185, 18.200178, 18.834949, 20.288883], [154.291247, 169.285728, 169.609685, 193.184104, 198.443841, 207.851489, 213.828971, 230.815280, 246.082034, 718.188825], [417.075000, 431.333530, 444.322755, 513.142508, 522.143116, 550.342470, 551.049344, 577.284199, 649.260649, 1812.169020], [148.782916, 162.719683, 163.568939, 186.033321, 191.052960, 200.241978, 205.562053, 221.761249, 236.450822, 648.699988]]
### 8
fourier: [[256.011807, 270.691069, 277.643431, 320.407244, 321.403483, 338.176473, 346.595509, 364.880218, 400.951186, 1093.693961], [220.554748, 233.609449, 241.173349, 275.177927, 278.381548, 291.432366, 299.910930, 314.132090, 343.366745, 969.838587], [153.000767, 163.329263, 166.562582, 191.202535, 193.114199, 202.749169, 208.426657, 220.798577, 241.784500, 732.901810], [238.108046, 253.352257, 259.749820, 297.311845, 300.570497, 314.888637, 324.008160, 341.661343, 374.059863, 1043.070005], [113.902599, 118.244874, 121.773865, 141.155449, 143.203913, 149.870723, 152.024347, 159.471256, 177.129811, 528.117664], [121.264635, 128.056365, 131.785471, 151.439860, 152.310518, 160.141095, 164.018253, 172.427115, 189.473936, 553.259365]]
### 10
fourier: [[182.686980, 199.807541, 202.019690, 228.737398, 234.654729, 243.502635, 255.620075, 271.853094, 292.909348, 857.804328], [134.094765, 150.783650, 150.927960, 168.667301, 175.420817, 180.770885, 193.701659, 206.899494, 219.169688, 657.527869], [9.010076, 10.766823, 11.260254, 11.294950, 12.226443, 12.497707, 14.496769, 14.539446, 15.372967, 84.202037], [113.741765, 129.524930, 130.956465, 143.180341, 150.852736, 154.566466, 167.853552, 180.314304, 188.739024, 518.690036], [84.548527, 96.542506, 98.270071, 106.886071, 112.733809, 115.327565, 126.115132, 135.735414, 141.514257, 419.122710], [70.138026, 71.593382, 74.951347, 86.296754, 86.764035, 91.169137, 91.448423, 95.548806, 107.199603, 371.250732]]
### 12
fourier: [[178.262855, 198.047773, 198.394382, 224.976454, 231.188824, 239.571700, 254.058068, 270.493916, 289.285265, 868.886501]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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50.90717557302155, 52.32281926934138, 55.08101054696019, 58.855650021880585, 65.78148694787347, 132.05072636902332]}, "5": {"fourier": [25.971659468496895, 26.715243806015117, 26.749226773377412, 26.976915555811775, 28.461497952842986, 28.56639777143066, 30.209572510908227, 30.467365297416762, 30.734975030204286, 36.72946442677889]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [58.06400428723649, 61.764954944880415, 64.93246882379083, 70.66092647584976, 74.91676667605607, 76.00575907745043, 84.6401724195782, 89.51430404205854, 93.26753412095853, 201.9309873394668]}, "1": {"fourier": [46.06557276471211, 49.498543505667335, 56.57544243811399, 60.70440649200439, 60.70853151429665, 64.02613339637384, 70.59777051796013, 77.91755858948312, 95.47152541955275, 130.46416918188334]}, "2": {"fourier": [54.796895752267105, 58.140854303836875, 64.64246057911487, 69.57395475908223, 70.57085280713073, 76.18032982649682, 82.19267739518514, 83.87877136756846, 105.14532376729126, 165.02066712081432]}, "3": {"fourier": [38.8135242342791, 39.33871895227192, 42.712433905768975, 44.143984422664175, 49.66325356650914, 55.59618594694105, 56.48380164783727, 58.58397357801076, 58.99764950292781, 88.9653773028869]}, "4": {"fourier": [41.36971755377776, 43.261642686463716, 44.1071988752849, 49.45183228367536, 51.76680990986969, 57.21674526046601, 59.28992140040173, 69.49427142619463, 77.56454049050808, 82.71734947457668]}, "5": {"fourier": [53.62308966648441, 57.3929722559668, 63.35010736710827, 69.1399096675317, 70.02907691072913, 75.977811722725, 80.94776663199232, 81.26338199031909, 102.07005269825459, 103.42015103160395]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [84.63993217443894, 88.76712650544368, 91.39017628724918, 98.27430636041618, 108.23085065628709, 110.07379680295362, 118.31917953688645, 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"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": [[-1.558648, -0.38077, 0.039129, 0.436332, 0.936152], [0.576065, -0.080917, -0.251348, 0.16372, -0.678638], [0.96178, -0.875328, 0.12839, -0.676258, 0.434213], [1.089771, 0.621697, -0.048304, -0.413519, -0.436907], [1.425926, 0.273312, 0.207476, -0.139558, -0.590518], [-0.652546, -0.346792, 0.004476, 0.286946, 0.730391]], "network.0.bias": [0.334072, 0.082573, 0.732215, -0.242853, -0.211105, -0.121024], "network.2.weight": [[-0.508013, -0.240538, 0.961914, 0.724613, 0.599472, 0.223772], [-0.489771, -0.130095, 1.267053, 0.469787, 0.290461, -0.341062], [-0.616971, -0.034074, 0.727754, 0.496065, 0.671735, -0.36631], [0.829631, 0.011111, -0.58616, -0.25258, -0.293567, 0.498353], [-0.515011, 0.134235, 1.510381, 0.396055, -0.044116, -0.204933], [-0.58635, 0.097235, 0.616572, 0.560236, 0.613183, -0.470267]], "network.2.bias": [-0.071441, 0.033545, 0.299519, 0.120459, -0.203378, -0.296172], "network.4.weight": [[0.683911, -0.09347, 0.405347, -0.653994, 0.094176, 0.404971], [0.596517, 0.522501, 0.527893, -0.849728, -0.238288, 0.651656], [-0.723956, -0.473652, -0.287553, -0.565268, -0.778244, -0.470257], [0.633419, 0.447034, 0.474825, -0.123359, 0.331798, -0.104819], [0.644459, 0.267752, 0.459021, -0.572882, 0.441886, 0.204233], [-0.219819, -0.036856, -0.285165, 0.619236, 0.319055, 0.633052]], "network.4.bias": [0.386384, 0.035185, -0.468419, -0.130746, 0.469647, 0.296781], "network.6.weight": [[-0.78383, -1.164447, -0.720149, -0.247362, -0.831221, -0.230297], [-0.411404, -0.15983, 0.117199, 0.123414, 0.078908, -0.187693], [0.19249, 0.319623, -0.098313, -0.301695, -0.099575, -0.289874], [0.358124, 0.49405, -0.123125, 0.293024, 0.545175, -0.340407], [-0.957579, -1.308223, -0.386261, -1.168982, -0.954279, -0.085578], [0.240911, 0.59222, 0.061481, 0.398222, 0.378827, -0.336377]], "network.6.bias": [0.242366, -0.696351, -0.356867, 0.76602, -0.409772, 0.338929], "network.8.weight": [[-0.118105, -0.537039, -0.332133, -1.078698, -0.528066, -0.547906], [-1.031696, -0.371375, -0.710775, -0.930113, -0.753037, -0.448592], [0.241785, -0.465236, -0.05912, 0.684727, 0.180235, 0.311151], [-0.728463, -0.334194, -0.244114, -1.086088, -0.422561, -0.43427], [0.472225, -0.242583, -0.148844, -0.327827, 0.178914, -0.395335], [0.241186, -0.048222, 0.168903, 0.335937, 0.288799, 0.442684]], "network.8.bias": [0.543548, 0.141223, 0.335604, 0.349093, -0.332193, 0.151926], "network.10.weight": [[-0.545461, -0.662326, 0.7282, -0.150939, 0.105515, 0.601576], [-0.791856, -1.037005, 0.440715, -0.137472, -0.429179, 0.579446], [-0.600656, -0.163995, 0.069399, 0.082371, 0.076243, -0.175265], [0.563592, 0.98226, -0.589317, 0.603344, 0.175619, -0.229682], [-0.759652, -0.880814, 0.507129, -0.08252, -0.325731, 0.086586], [-0.696454, -0.250702, -0.20586, 0.512638, 0.012025, -0.307407]], "network.10.bias": [0.136608, 0.395839, -0.310511, 0.205141, 0.204006, -0.490332], "network.12.weight": [[-0.340063, -0.63246, 0.090957, 0.421173, -0.363853, 0.506649]], "network.12.bias": [-0.056985]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.683991014957428, "train_acc": 0.55, "val_loss": 0.6924707293510437, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6270809769630432, "train_acc": 0.55, "val_loss": 0.6183254718780518, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6711962223052979, "train_acc": 0.64, "val_loss": 0.6712567806243896, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6681319177150726, "train_acc": 0.615, "val_loss": 0.6743738055229187, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.660110741853714, "train_acc": 0.605, "val_loss": 0.6506723165512085, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6242853999137878, "train_acc": 0.62, "val_loss": 0.6071562767028809, "val_acc": 0.64}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.593374103307724, "train_acc": 0.66, "val_loss": 0.5870274305343628, "val_acc": 0.64}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5509071052074432, "train_acc": 0.685, "val_loss": 0.5608229637145996, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5186660587787628, "train_acc": 0.74, "val_loss": 0.49593472480773926, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.46193817257881165, "train_acc": 0.775, "val_loss": 0.4696540832519531, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4590272307395935, "train_acc": 0.78, "val_loss": 0.4751589298248291, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.47329317033290863, "train_acc": 0.77, "val_loss": 0.4834107458591461, "val_acc": 0.74}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6924707293510437, "final_val_loss": 0.6183254718780518, "initial_val_acc": 0.5, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6712567806243896, "final_val_loss": 0.4834107458591461, "initial_val_acc": 0.6, "final_val_acc": 0.74, "best_val_acc": 0.78, "best_epoch": 8}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
233
|
{"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": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9467, "learning_rate": 0.05611745323097926, "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: 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
fourier: [[12.433667, 12.579758, 14.842277, 15.590488, 15.896265, 16.239503, 17.209248, 18.842192, 25.706974, 109.497104], [26.288546, 27.076064, 27.679229, 28.373952, 29.740942, 30.667654, 31.862833, 32.212598, 34.017456, 124.435880], [20.758787, 20.883358, 23.159117, 23.238521, 27.065952, 27.661026, 28.213904, 33.189977, 36.401598, 221.316996], [23.829636, 25.081395, 25.635152, 25.734631, 29.282976, 29.665613, 34.334647, 36.042560, 38.314843, 104.999793], [18.256830, 18.332706, 19.548957, 22.517344, 23.057261, 24.341244, 28.438246, 31.898894, 32.842538, 176.741047]]
### 2
fourier: [[15.861502, 16.384844, 17.286904, 17.639355, 17.865942, 21.912213, 27.271224, 27.831491, 28.906579, 166.444044], [19.935359, 20.430607, 20.696510, 24.137687, 25.473870, 29.238975, 29.389285, 34.860466, 38.796053, 105.029739], [31.138043, 31.235384, 32.380108, 35.385020, 36.550475, 44.977335, 48.147815, 53.731282, 57.008699, 98.812722], [18.098709, 18.737954, 19.621721, 20.698254, 20.727288, 20.806098, 23.135146, 23.376218, 24.696823, 27.542556], [10.906626, 11.135640, 11.997231, 14.173580, 14.237946, 14.754122, 16.898359, 17.575603, 21.402700, 170.089182]]
### 4
fourier: [[37.780567, 41.311105, 43.098844, 46.627279, 56.245882, 56.452488, 57.877853, 66.057369, 81.035639, 236.158212], [3.753997, 3.855416, 3.926085, 4.255803, 5.178617, 5.413759, 5.533712, 6.381773, 7.765432, 44.405197], [4.906836, 5.472779, 5.567076, 6.046014, 7.166407, 7.261360, 7.350980, 8.365927, 10.291375, 61.328853], [3.330067, 3.338586, 3.401791, 3.563954, 4.345740, 4.637388, 4.721857, 5.520762, 6.663685, 34.131205], [35.502259, 38.326422, 39.931560, 43.606528, 52.579142, 52.848110, 54.130976, 62.053138, 75.954184, 213.512808]]
### 6
fourier: [[4.686390, 4.817701, 4.927978, 5.675614, 6.553754, 6.901211, 7.113802, 7.890726, 9.484306, 62.406314], [32.025873, 33.936147, 35.899586, 38.534012, 46.537084, 47.114693, 47.770630, 54.638934, 67.357970, 181.778609], [3.559582, 3.648662, 3.815293, 3.996264, 4.687657, 5.045127, 5.166684, 5.787769, 7.258737, 20.761320], [55.739093, 59.032007, 62.495789, 67.176233, 81.244509, 81.905679, 83.209171, 95.153653, 117.198813, 325.074753], [5.809128, 5.846054, 6.288452, 6.876835, 8.354025, 8.358563, 8.484998, 9.731845, 11.942256, 42.643297]]
### 8
fourier: [[49.546257, 50.614372, 53.891415, 59.213976, 71.087975, 72.219087, 72.404287, 82.762543, 101.403832, 177.044029]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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0.628628,
-0.732618
],
[
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-0.443373,
-0.410852
],
[
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-0.183152,
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],
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],
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}
## Activation Signature
### 0
fourier: [[12.433667, 12.579758, 14.842277, 15.590488, 15.896265, 16.239503, 17.209248, 18.842192, 25.706974, 109.497104], [26.288546, 27.076064, 27.679229, 28.373952, 29.740942, 30.667654, 31.862833, 32.212598, 34.017456, 124.435880], [20.758787, 20.883358, 23.159117, 23.238521, 27.065952, 27.661026, 28.213904, 33.189977, 36.401598, 221.316996], [23.829636, 25.081395, 25.635152, 25.734631, 29.282976, 29.665613, 34.334647, 36.042560, 38.314843, 104.999793], [18.256830, 18.332706, 19.548957, 22.517344, 23.057261, 24.341244, 28.438246, 31.898894, 32.842538, 176.741047]]
### 2
fourier: [[15.861502, 16.384844, 17.286904, 17.639355, 17.865942, 21.912213, 27.271224, 27.831491, 28.906579, 166.444044], [19.935359, 20.430607, 20.696510, 24.137687, 25.473870, 29.238975, 29.389285, 34.860466, 38.796053, 105.029739], [31.138043, 31.235384, 32.380108, 35.385020, 36.550475, 44.977335, 48.147815, 53.731282, 57.008699, 98.812722], [18.098709, 18.737954, 19.621721, 20.698254, 20.727288, 20.806098, 23.135146, 23.376218, 24.696823, 27.542556], [10.906626, 11.135640, 11.997231, 14.173580, 14.237946, 14.754122, 16.898359, 17.575603, 21.402700, 170.089182]]
### 4
fourier: [[37.780567, 41.311105, 43.098844, 46.627279, 56.245882, 56.452488, 57.877853, 66.057369, 81.035639, 236.158212], [3.753997, 3.855416, 3.926085, 4.255803, 5.178617, 5.413759, 5.533712, 6.381773, 7.765432, 44.405197], [4.906836, 5.472779, 5.567076, 6.046014, 7.166407, 7.261360, 7.350980, 8.365927, 10.291375, 61.328853], [3.330067, 3.338586, 3.401791, 3.563954, 4.345740, 4.637388, 4.721857, 5.520762, 6.663685, 34.131205], [35.502259, 38.326422, 39.931560, 43.606528, 52.579142, 52.848110, 54.130976, 62.053138, 75.954184, 213.512808]]
### 6
fourier: [[4.686390, 4.817701, 4.927978, 5.675614, 6.553754, 6.901211, 7.113802, 7.890726, 9.484306, 62.406314], [32.025873, 33.936147, 35.899586, 38.534012, 46.537084, 47.114693, 47.770630, 54.638934, 67.357970, 181.778609], [3.559582, 3.648662, 3.815293, 3.996264, 4.687657, 5.045127, 5.166684, 5.787769, 7.258737, 20.761320], [55.739093, 59.032007, 62.495789, 67.176233, 81.244509, 81.905679, 83.209171, 95.153653, 117.198813, 325.074753], [5.809128, 5.846054, 6.288452, 6.876835, 8.354025, 8.358563, 8.484998, 9.731845, 11.942256, 42.643297]]
### 8
fourier: [[49.546257, 50.614372, 53.891415, 59.213976, 71.087975, 72.219087, 72.404287, 82.762543, 101.403832, 177.044029]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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20.727288276804313, 20.806097909635305, 23.135145780118393, 23.376218251883984, 24.696822763198618, 27.542555713540867]}, "4": {"fourier": [10.906626288874271, 11.135639718357504, 11.997230735167891, 14.173580120619764, 14.23794630510146, 14.754121849668207, 16.898358766786018, 17.575603171198686, 21.402699756368705, 170.08918231725693]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [37.780567156793744, 41.31110518545173, 43.098844060518374, 46.62727934703577, 56.245882445334885, 56.45248792266897, 57.877853237536094, 66.05736909822365, 81.03563898129664, 236.15821239352226]}, "1": {"fourier": [3.753997061472445, 3.855415801920633, 3.9260853557314044, 4.255803271422373, 5.1786172541515425, 5.413759174315923, 5.53371161354592, 6.381772856132154, 7.765431770904896, 44.40519703924656]}, "2": {"fourier": [4.906836189336429, 5.472778607174865, 5.567075605130686, 6.0460141406194285, 7.166406548125652, 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177.04402872920036]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.093978, 0.090081, -0.001304, -0.057205, 0.610409], [-0.218109, 0.365767, 0.230357, 0.628628, -0.732618], [-0.40637, -0.052809, -0.189055, -0.443373, -0.410852], [0.577754, 0.275584, -0.183152, -0.214917, 0.654027], [0.383119, 0.058052, 0.095977, 0.354608, 0.45956]], "network.0.bias": [0.541995, 0.061851, -0.004721, -0.017665, -0.146475], "network.2.weight": [[-0.331876, -0.077319, 0.363762, -0.254622, -0.482705], [0.578688, -0.310739, -0.293795, 0.423425, 0.219393], [0.679751, -0.65774, 0.174954, 0.679946, 0.304732], [0.353554, -0.499956, 0.044791, 0.426441, -0.195356], [-0.248582, -0.379141, -0.267732, -0.150733, -0.300011]], "network.2.bias": [-0.013774, -0.036866, -0.174963, -0.059897, -0.160217], "network.4.weight": [[0.102689, 0.892126, 0.836056, 0.466511, 0.197782], [-0.04971, 0.166739, -0.312675, 0.124195, -0.178696], [-0.007434, -0.260567, 0.028071, -0.151731, 0.210844], [-0.431619, 0.245482, -0.367198, 0.19256, 0.274342], [0.109285, 0.72136, 0.909414, 0.283895, -0.268556]], "network.4.bias": [-0.098732, -0.259965, -0.319799, 0.568014, -0.165928], "network.6.weight": [[-0.030065, -0.284693, -0.071915, 0.561288, -0.057668], [0.35484, -0.289461, 0.134821, -0.0807, 0.512515], [0.266098, -0.053089, -0.344144, -0.21343, -0.396458], [0.841804, 0.432507, -0.096614, -0.334374, 0.638162], [0.068335, 0.143704, 0.266801, 0.16236, -0.222126]], "network.6.bias": [0.684878, -0.134586, 0.573574, -0.037762, 0.765679], "network.8.weight": [[0.696825, -0.650525, 0.442411, -0.412026, 0.467988]], "network.8.bias": [0.023399]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6897740960121155, "train_acc": 0.475, "val_loss": 0.6839264035224915, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.668619841337204, "train_acc": 0.565, "val_loss": 0.6551151871681213, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6236996948719025, "train_acc": 0.565, "val_loss": 0.5697882175445557, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5498088300228119, "train_acc": 0.49, "val_loss": 0.48271796107292175, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.42862941324710846, "train_acc": 0.85, "val_loss": 0.4644594192504883, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4633849114179611, "train_acc": 0.81, "val_loss": 0.4651159942150116, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.358528196811676, "train_acc": 0.84, "val_loss": 0.6303369998931885, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.46123723685741425, "train_acc": 0.8, "val_loss": 0.5333658456802368, "val_acc": 0.76}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6839264035224915, "final_val_loss": 0.5697882175445557, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.48271796107292175, "final_val_loss": 0.5333658456802368, "initial_val_acc": 0.74, "final_val_acc": 0.76, "best_val_acc": 0.78, "best_epoch": 5}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
234
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 0.9, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3183, "learning_rate": 0.036676535855649145, "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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[
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"network.0.bias": [
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],
[
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]
],
"network.6.bias": [
0.201594,
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],
"network.8.weight": [
[
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],
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[
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[
-0.182854,
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],
"network.8.bias": [
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0.568213,
0.544418,
0.059527
],
"network.10.weight": [
[
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0.083256,
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0.573749,
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]
],
"network.10.bias": [
0.647756
]
}
## Activation Signature
### 0
fourier: [[24.620690, 25.089048, 25.939223, 27.025289, 29.508459, 30.129017, 33.175702, 39.785814, 47.770070, 124.204720], [30.070190, 31.485631, 32.287971, 36.474200, 37.378589, 38.307079, 39.907066, 43.520266, 49.249300, 130.292915], [27.781126, 28.368874, 29.655343, 30.508974, 30.913875, 31.493470, 32.052867, 33.680098, 35.388550, 122.011360], [13.299641, 14.988932, 15.254985, 15.532406, 16.001491, 16.755455, 17.378182, 19.012301, 20.506293, 50.902184], [19.909517, 20.069039, 20.944356, 21.913570, 23.207986, 24.060472, 24.445413, 24.940272, 29.531776, 32.873550], [22.517434, 22.714320, 23.201347, 23.623388, 25.339946, 27.925170, 28.667788, 29.427273, 35.491730, 38.159349]]
### 2
fourier: [[38.451826, 40.797830, 41.625580, 46.387629, 47.589800, 48.183566, 49.076626, 51.488670, 55.098525, 228.555029], [25.424439, 26.001666, 26.182072, 27.659093, 27.702325, 28.390250, 32.976194, 34.150052, 39.170363, 192.386595], [51.400825, 52.092640, 52.154849, 52.703919, 55.918169, 58.534100, 61.222036, 63.111565, 74.800342, 258.500936], [38.775791, 39.222825, 40.224938, 41.534175, 42.781454, 44.458241, 45.707907, 49.004311, 59.101393, 255.447073], [27.500741, 27.847726, 28.335725, 30.745130, 31.262366, 34.064120, 35.312457, 40.676565, 41.842024, 166.985479], [36.333019, 38.026381, 38.699955, 39.605526, 41.447905, 42.392811, 45.545542, 47.411539, 59.127766, 250.269258]]
### 4
fourier: [[104.859831, 112.316603, 121.999326, 125.623476, 126.229118, 128.358137, 128.732879, 134.123239, 160.789346, 747.619956], [127.578817, 137.489283, 148.644072, 153.648260, 153.720873, 156.779481, 159.772530, 163.394938, 197.498013, 821.184973], [84.012457, 89.495915, 95.348056, 99.606956, 102.402015, 103.038561, 103.580984, 109.914109, 129.333560, 550.323866], [131.863402, 141.776138, 152.857578, 154.779229, 158.778304, 159.054393, 161.483967, 169.675468, 196.745277, 792.135476], [66.879145, 71.441774, 73.582201, 73.700059, 78.421065, 82.583108, 84.080653, 88.933832, 98.030491, 387.913622], [66.700418, 67.609945, 67.929752, 70.511405, 74.599291, 76.951145, 82.741391, 87.153036, 98.146586, 366.586459]]
### 6
fourier: [[127.762567, 135.315587, 148.675240, 152.956054, 153.631428, 154.931800, 155.788255, 162.905250, 193.663300, 803.879479], [17.514195, 18.801216, 20.087519, 21.077906, 21.113716, 21.459054, 22.026820, 22.623235, 26.448682, 138.370208], [36.362095, 38.216803, 41.623199, 42.522383, 44.216574, 44.552851, 44.905824, 44.941537, 53.711618, 216.657997], [274.532959, 292.263767, 318.522629, 327.379330, 331.627923, 332.618314, 335.377151, 352.743504, 417.474807, 1708.768435], [187.355962, 199.954312, 217.844943, 224.051661, 225.189031, 225.876103, 228.791737, 240.281270, 283.165942, 1141.799743], [123.737847, 132.181211, 143.522764, 147.024137, 148.581506, 148.779974, 151.096825, 160.117194, 186.855481, 692.081769]]
### 8
fourier: [[16.633904, 17.269406, 19.553714, 19.593329, 19.602237, 19.629556, 19.878081, 21.731268, 25.111441, 43.490735], [68.506836, 71.825109, 79.991477, 80.420612, 81.147023, 83.125340, 83.290743, 90.071645, 104.892967, 407.353774], [403.165686, 426.339769, 470.720074, 479.793404, 486.096734, 487.037065, 490.482886, 516.912818, 612.426006, 2462.547497], [5.981636, 6.692507, 6.908372, 7.004036, 7.713301, 7.816299, 8.990955, 9.327107, 10.255908, 102.796291], [120.932110, 128.240117, 140.463244, 143.831900, 145.186462, 146.247288, 147.771419, 157.123649, 184.249631, 673.737265], [9.532972, 10.003656, 11.109958, 11.251791, 11.346646, 11.530335, 11.714820, 11.926318, 14.309969, 67.545060]]
### 10
fourier: [[289.843540, 306.347972, 339.866921, 344.800281, 349.082498, 350.269643, 352.356288, 372.059728, 440.660151, 1666.439353]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
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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.4.bias": [
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"network.6.weight": [
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"network.6.bias": [
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"network.8.weight": [
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[
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],
"network.8.bias": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[24.620690, 25.089048, 25.939223, 27.025289, 29.508459, 30.129017, 33.175702, 39.785814, 47.770070, 124.204720], [30.070190, 31.485631, 32.287971, 36.474200, 37.378589, 38.307079, 39.907066, 43.520266, 49.249300, 130.292915], [27.781126, 28.368874, 29.655343, 30.508974, 30.913875, 31.493470, 32.052867, 33.680098, 35.388550, 122.011360], [13.299641, 14.988932, 15.254985, 15.532406, 16.001491, 16.755455, 17.378182, 19.012301, 20.506293, 50.902184], [19.909517, 20.069039, 20.944356, 21.913570, 23.207986, 24.060472, 24.445413, 24.940272, 29.531776, 32.873550], [22.517434, 22.714320, 23.201347, 23.623388, 25.339946, 27.925170, 28.667788, 29.427273, 35.491730, 38.159349]]
### 2
fourier: [[38.451826, 40.797830, 41.625580, 46.387629, 47.589800, 48.183566, 49.076626, 51.488670, 55.098525, 228.555029], [25.424439, 26.001666, 26.182072, 27.659093, 27.702325, 28.390250, 32.976194, 34.150052, 39.170363, 192.386595], [51.400825, 52.092640, 52.154849, 52.703919, 55.918169, 58.534100, 61.222036, 63.111565, 74.800342, 258.500936], [38.775791, 39.222825, 40.224938, 41.534175, 42.781454, 44.458241, 45.707907, 49.004311, 59.101393, 255.447073], [27.500741, 27.847726, 28.335725, 30.745130, 31.262366, 34.064120, 35.312457, 40.676565, 41.842024, 166.985479], [36.333019, 38.026381, 38.699955, 39.605526, 41.447905, 42.392811, 45.545542, 47.411539, 59.127766, 250.269258]]
### 4
fourier: [[104.859831, 112.316603, 121.999326, 125.623476, 126.229118, 128.358137, 128.732879, 134.123239, 160.789346, 747.619956], [127.578817, 137.489283, 148.644072, 153.648260, 153.720873, 156.779481, 159.772530, 163.394938, 197.498013, 821.184973], [84.012457, 89.495915, 95.348056, 99.606956, 102.402015, 103.038561, 103.580984, 109.914109, 129.333560, 550.323866], [131.863402, 141.776138, 152.857578, 154.779229, 158.778304, 159.054393, 161.483967, 169.675468, 196.745277, 792.135476], [66.879145, 71.441774, 73.582201, 73.700059, 78.421065, 82.583108, 84.080653, 88.933832, 98.030491, 387.913622], [66.700418, 67.609945, 67.929752, 70.511405, 74.599291, 76.951145, 82.741391, 87.153036, 98.146586, 366.586459]]
### 6
fourier: [[127.762567, 135.315587, 148.675240, 152.956054, 153.631428, 154.931800, 155.788255, 162.905250, 193.663300, 803.879479], [17.514195, 18.801216, 20.087519, 21.077906, 21.113716, 21.459054, 22.026820, 22.623235, 26.448682, 138.370208], [36.362095, 38.216803, 41.623199, 42.522383, 44.216574, 44.552851, 44.905824, 44.941537, 53.711618, 216.657997], [274.532959, 292.263767, 318.522629, 327.379330, 331.627923, 332.618314, 335.377151, 352.743504, 417.474807, 1708.768435], [187.355962, 199.954312, 217.844943, 224.051661, 225.189031, 225.876103, 228.791737, 240.281270, 283.165942, 1141.799743], [123.737847, 132.181211, 143.522764, 147.024137, 148.581506, 148.779974, 151.096825, 160.117194, 186.855481, 692.081769]]
### 8
fourier: [[16.633904, 17.269406, 19.553714, 19.593329, 19.602237, 19.629556, 19.878081, 21.731268, 25.111441, 43.490735], [68.506836, 71.825109, 79.991477, 80.420612, 81.147023, 83.125340, 83.290743, 90.071645, 104.892967, 407.353774], [403.165686, 426.339769, 470.720074, 479.793404, 486.096734, 487.037065, 490.482886, 516.912818, 612.426006, 2462.547497], [5.981636, 6.692507, 6.908372, 7.004036, 7.713301, 7.816299, 8.990955, 9.327107, 10.255908, 102.796291], [120.932110, 128.240117, 140.463244, 143.831900, 145.186462, 146.247288, 147.771419, 157.123649, 184.249631, 673.737265], [9.532972, 10.003656, 11.109958, 11.251791, 11.346646, 11.530335, 11.714820, 11.926318, 14.309969, 67.545060]]
### 10
fourier: [[289.843540, 306.347972, 339.866921, 344.800281, 349.082498, 350.269643, 352.356288, 372.059728, 440.660151, 1666.439353]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [289.84354034944977, 306.34797240648743, 339.86692093187196, 344.8002806531967, 349.0824977342031, 350.26964337946436, 352.35628778574863, 372.05972787855205, 440.66015062079975, 1666.4393534064293]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[0.581967, 0.555927, -0.413331, 0.40533, -0.350384], [0.947521, 0.094121, 0.118236, -0.439687, 0.19354], [0.506192, 0.707249, 0.175993, -0.310746, 0.094508], [-0.221127, -0.262927, -0.214005, 0.265887, 0.11858], [0.430986, -0.349167, 0.546471, -0.03153, -0.5538], [-0.791951, 0.043829, -0.108906, 0.287892, 0.407088]], "network.0.bias": [0.069139, 0.554254, -0.380824, -0.080685, 0.037169, 0.015581], "network.2.weight": [[0.790502, 0.419203, 0.482032, -0.056336, 0.240525, -0.051301], [0.763102, 0.299398, -0.063814, -0.298791, 0.373959, -0.229714], [-0.026853, 0.688688, 0.747416, -0.510749, 0.830135, -0.308407], [0.818041, 0.225747, 0.422482, -0.141359, 0.789127, 0.140182], [0.860076, 0.229774, 0.142404, 0.300736, 0.2378, -0.006323], [0.936312, 0.38635, 0.02427, 0.019958, 0.801219, -0.331655]], "network.2.bias": [-0.193663, 0.466294, 0.390361, -0.035364, -0.245616, 0.313714], "network.4.weight": [[-0.616599, -0.189129, -0.486857, -0.388839, -0.421401, -0.810689], [0.465719, 0.708883, 0.64776, 0.376822, 0.849034, 0.770606], [0.621598, 0.4976, 0.356647, -0.179663, 0.12224, 0.979675], [0.724414, 0.236447, 0.914228, 0.531505, 0.676244, 0.516825], [-0.445587, -0.261203, -0.563223, 0.470903, -0.262591, -0.755521], [0.025824, -0.294661, -0.575514, 0.059061, 0.069368, -0.968334]], "network.4.bias": [-0.866758, -0.125455, 0.056959, -0.302086, 0.24025, 0.536101], "network.6.weight": [[0.570848, 0.251099, 0.322254, 0.512952, 0.167474, 0.013677], [0.294432, -0.223706, 0.286858, -0.097127, -0.13273, -0.706992], [-0.118369, 0.057751, 0.008011, -0.332334, -0.341191, -0.446989], [0.404224, 0.698203, 0.8014, 0.8869, -0.693939, -0.526004], [0.399706, 0.417701, 0.247746, 0.853798, -0.789573, -0.093982], [-0.284314, -0.189902, -0.275867, -0.576928, 0.480808, 0.697298]], "network.6.bias": [0.201594, -0.400032, -0.083917, -0.057148, -0.142052, 0.805808], "network.8.weight": [[0.425942, 0.160031, 0.10784, -0.250196, 0.162614, -0.170238], [-0.350442, -0.717787, -0.004806, -0.150627, 0.099336, 0.63362], [0.325586, 0.27799, 0.027802, 0.830587, 0.705293, -0.864928], [0.448671, -0.229352, -0.207639, -0.21739, 0.048985, 0.561222], [0.037797, -0.839338, -0.610123, -0.254247, -0.292617, 0.533939], [-0.182854, -0.170735, -0.404288, 0.085487, 0.051598, -0.048332]], "network.8.bias": [-0.577116, 0.05926, -0.152758, 0.568213, 0.544418, 0.059527], "network.10.weight": [[-0.418098, 0.083256, -0.708416, 0.573749, 0.514708, -0.195393]], "network.10.bias": [0.647756]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.696746826171875, "train_acc": 0.495, "val_loss": 0.6954829692840576, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6621450185775757, "train_acc": 0.59, "val_loss": 0.7136390209197998, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6288228034973145, "train_acc": 0.59, "val_loss": 0.6566874980926514, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5531557500362396, "train_acc": 0.525, "val_loss": 0.6141313910484314, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.47289593517780304, "train_acc": 0.65, "val_loss": 0.4858476519584656, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.412284255027771, "train_acc": 0.915, "val_loss": 0.4643515646457672, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3617178201675415, "train_acc": 0.915, "val_loss": 0.44872942566871643, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3294214755296707, "train_acc": 0.91, "val_loss": 0.40535393357276917, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3142032027244568, "train_acc": 0.905, "val_loss": 0.38785743713378906, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.25966014713048935, "train_acc": 0.915, "val_loss": 0.33314406871795654, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.26024074852466583, "train_acc": 0.92, "val_loss": 0.36454954743385315, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.28472641855478287, "train_acc": 0.895, "val_loss": 0.3446330726146698, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2410477101802826, "train_acc": 0.915, "val_loss": 0.31691059470176697, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6954829692840576, "final_val_loss": 0.6566874980926514, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.6141313910484314, "final_val_loss": 0.31691059470176697, "initial_val_acc": 0.4, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 12}, "improvement": 0.5, "first_improvement_epoch": 2}}
|
235
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{"target_pattern": "starts_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.84, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9074, "learning_rate": 0.0999095136332923, "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: 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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## Activation Signature
### 0
fourier: [[43.306588, 46.713362, 47.554301, 52.200819, 58.406077, 60.440203, 61.676427, 66.567582, 72.005270, 75.504332], [55.005251, 57.415602, 59.807206, 60.019112, 63.174824, 64.509432, 66.514121, 77.642395, 83.411093, 269.773310], [38.611080, 41.121081, 41.464801, 41.761563, 43.702110, 52.274358, 54.662196, 54.928232, 61.677073, 502.790453], [43.232527, 48.118050, 48.906524, 51.855310, 52.695750, 54.613351, 56.612194, 59.284251, 60.494792, 128.458813], [51.235030, 51.324431, 53.093538, 54.104526, 55.153785, 64.073205, 64.109746, 64.191790, 66.141211, 226.662346], [34.522718, 36.094991, 38.504707, 39.744521, 40.183048, 45.298022, 45.442852, 47.441243, 58.753688, 89.030581], [39.874573, 42.244115, 42.723754, 44.069236, 45.193016, 46.610379, 47.419939, 57.153573, 62.277115, 504.918952], [30.207734, 30.480328, 31.499327, 32.670606, 33.376839, 34.641067, 35.633967, 37.587971, 38.464766, 48.571085]]
### 2
fourier: [[48.798802, 50.988338, 51.632831, 52.780608, 53.657379, 56.449999, 58.551262, 66.483867, 67.958597, 275.365611], [35.465781, 36.575694, 38.226675, 44.110408, 46.560791, 58.347405, 60.656355, 61.929786, 66.186969, 372.689590], [100.805226, 102.322476, 112.766363, 114.994585, 117.065533, 121.757729, 129.771578, 139.234721, 156.405838, 369.445291], [60.713842, 63.850135, 64.351129, 64.903582, 68.648506, 71.352138, 74.847597, 80.022851, 115.473595, 128.052397], [66.187518, 68.686138, 70.854211, 81.184891, 83.486141, 84.148046, 85.775910, 88.781549, 97.826715, 288.286350], [41.866883, 43.110291, 43.608635, 44.855502, 46.601094, 47.058849, 48.294100, 49.492902, 50.309467, 66.573711], [67.165411, 69.505974, 70.775771, 94.313622, 97.835964, 99.343005, 109.646801, 109.835120, 111.448724, 877.742384], [79.617582, 81.901637, 90.797253, 92.124992, 93.700867, 98.427803, 102.410177, 106.527516, 112.824901, 152.453051]]
### 4
fourier: [[19.741422, 19.753456, 20.759433, 23.661081, 23.991870, 25.125611, 27.453763, 27.972692, 35.941912, 109.252258], [24.631270, 25.540596, 26.063002, 26.235603, 27.161332, 27.813428, 30.903947, 31.013556, 32.244872, 89.644056], [125.473475, 125.560116, 130.773399, 140.843928, 141.772744, 146.715791, 160.712978, 162.496821, 162.752082, 655.080860], [90.719007, 93.485090, 98.769195, 100.586544, 101.631547, 106.708074, 111.359694, 114.707928, 118.003035, 404.743394], [134.897948, 139.964438, 146.436880, 147.516956, 151.315013, 162.659085, 163.135001, 169.379677, 172.317135, 477.693684], [208.383225, 210.264219, 217.284125, 221.059526, 238.571218, 239.735158, 241.605327, 255.491962, 260.039888, 780.018799], [150.897008, 152.179906, 164.717414, 165.928169, 169.932960, 179.058850, 182.367336, 189.615798, 195.552065, 571.864115], [62.294861, 63.544440, 75.011406, 77.892065, 81.625890, 86.837160, 88.059588, 88.204262, 105.021575, 444.121347]]
### 6
fourier: [[23.359003, 23.847195, 25.164196, 28.386358, 28.412505, 28.505375, 29.905312, 30.240652, 31.420763, 80.323779], [166.383965, 169.809977, 170.793599, 189.369677, 190.610726, 192.671764, 209.664907, 214.541275, 220.928863, 717.484787], [184.224852, 188.242201, 192.654596, 198.757999, 204.992453, 212.971615, 218.675280, 221.592262, 225.218075, 724.455229], [280.960012, 290.989956, 295.044750, 303.826131, 312.707663, 325.264804, 336.289232, 337.727477, 344.647739, 1125.382590], [85.813643, 88.338086, 94.203840, 94.834518, 96.426387, 99.463596, 108.701719, 109.808497, 118.184661, 334.542302], [309.467908, 312.619599, 327.782921, 334.199079, 335.405688, 357.236948, 376.930552, 380.832987, 384.573171, 1346.728449], [118.765679, 120.729558, 121.117266, 126.212677, 128.342058, 136.442118, 141.856008, 144.637816, 145.650802, 533.852937], [153.034277, 156.990161, 158.225674, 174.333230, 176.296565, 176.914221, 192.567813, 196.895797, 202.655461, 644.741771]]
### 8
fourier: [[394.259227, 401.324344, 425.462823, 426.995099, 432.696313, 456.267444, 476.875489, 487.058542, 496.089263, 1709.550290], [173.903443, 176.615319, 188.199584, 197.137385, 199.033337, 200.764073, 204.788757, 219.423663, 228.152444, 792.370520], [228.295056, 232.410158, 240.084454, 255.828396, 259.944230, 264.214475, 283.537540, 287.988174, 301.759175, 953.971605], [172.584836, 179.995055, 183.410930, 188.069683, 190.104096, 202.988188, 216.683705, 223.794017, 224.652117, 778.858531], [505.491496, 511.923373, 544.208126, 546.199638, 552.291946, 582.345048, 608.915056, 623.997285, 632.350738, 2207.534214], [18.631313, 19.297106, 19.536629, 19.739153, 19.775281, 20.696862, 20.723086, 21.367947, 23.152362, 110.593293], [522.742657, 529.853227, 556.443110, 576.403220, 577.857159, 598.965503, 634.851922, 652.370277, 665.988372, 2182.188706], [555.220630, 562.726681, 596.187757, 600.571757, 606.201048, 639.896083, 669.424357, 685.063580, 693.586729, 2407.092836]]
### 10
fourier: [[639.729792, 646.656226, 686.812951, 693.738239, 699.078737, 735.362250, 764.864239, 788.596646, 796.629084, 2808.668822]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[43.306588, 46.713362, 47.554301, 52.200819, 58.406077, 60.440203, 61.676427, 66.567582, 72.005270, 75.504332], [55.005251, 57.415602, 59.807206, 60.019112, 63.174824, 64.509432, 66.514121, 77.642395, 83.411093, 269.773310], [38.611080, 41.121081, 41.464801, 41.761563, 43.702110, 52.274358, 54.662196, 54.928232, 61.677073, 502.790453], [43.232527, 48.118050, 48.906524, 51.855310, 52.695750, 54.613351, 56.612194, 59.284251, 60.494792, 128.458813], [51.235030, 51.324431, 53.093538, 54.104526, 55.153785, 64.073205, 64.109746, 64.191790, 66.141211, 226.662346], [34.522718, 36.094991, 38.504707, 39.744521, 40.183048, 45.298022, 45.442852, 47.441243, 58.753688, 89.030581], [39.874573, 42.244115, 42.723754, 44.069236, 45.193016, 46.610379, 47.419939, 57.153573, 62.277115, 504.918952], [30.207734, 30.480328, 31.499327, 32.670606, 33.376839, 34.641067, 35.633967, 37.587971, 38.464766, 48.571085]]
### 2
fourier: [[48.798802, 50.988338, 51.632831, 52.780608, 53.657379, 56.449999, 58.551262, 66.483867, 67.958597, 275.365611], [35.465781, 36.575694, 38.226675, 44.110408, 46.560791, 58.347405, 60.656355, 61.929786, 66.186969, 372.689590], [100.805226, 102.322476, 112.766363, 114.994585, 117.065533, 121.757729, 129.771578, 139.234721, 156.405838, 369.445291], [60.713842, 63.850135, 64.351129, 64.903582, 68.648506, 71.352138, 74.847597, 80.022851, 115.473595, 128.052397], [66.187518, 68.686138, 70.854211, 81.184891, 83.486141, 84.148046, 85.775910, 88.781549, 97.826715, 288.286350], [41.866883, 43.110291, 43.608635, 44.855502, 46.601094, 47.058849, 48.294100, 49.492902, 50.309467, 66.573711], [67.165411, 69.505974, 70.775771, 94.313622, 97.835964, 99.343005, 109.646801, 109.835120, 111.448724, 877.742384], [79.617582, 81.901637, 90.797253, 92.124992, 93.700867, 98.427803, 102.410177, 106.527516, 112.824901, 152.453051]]
### 4
fourier: [[19.741422, 19.753456, 20.759433, 23.661081, 23.991870, 25.125611, 27.453763, 27.972692, 35.941912, 109.252258], [24.631270, 25.540596, 26.063002, 26.235603, 27.161332, 27.813428, 30.903947, 31.013556, 32.244872, 89.644056], [125.473475, 125.560116, 130.773399, 140.843928, 141.772744, 146.715791, 160.712978, 162.496821, 162.752082, 655.080860], [90.719007, 93.485090, 98.769195, 100.586544, 101.631547, 106.708074, 111.359694, 114.707928, 118.003035, 404.743394], [134.897948, 139.964438, 146.436880, 147.516956, 151.315013, 162.659085, 163.135001, 169.379677, 172.317135, 477.693684], [208.383225, 210.264219, 217.284125, 221.059526, 238.571218, 239.735158, 241.605327, 255.491962, 260.039888, 780.018799], [150.897008, 152.179906, 164.717414, 165.928169, 169.932960, 179.058850, 182.367336, 189.615798, 195.552065, 571.864115], [62.294861, 63.544440, 75.011406, 77.892065, 81.625890, 86.837160, 88.059588, 88.204262, 105.021575, 444.121347]]
### 6
fourier: [[23.359003, 23.847195, 25.164196, 28.386358, 28.412505, 28.505375, 29.905312, 30.240652, 31.420763, 80.323779], [166.383965, 169.809977, 170.793599, 189.369677, 190.610726, 192.671764, 209.664907, 214.541275, 220.928863, 717.484787], [184.224852, 188.242201, 192.654596, 198.757999, 204.992453, 212.971615, 218.675280, 221.592262, 225.218075, 724.455229], [280.960012, 290.989956, 295.044750, 303.826131, 312.707663, 325.264804, 336.289232, 337.727477, 344.647739, 1125.382590], [85.813643, 88.338086, 94.203840, 94.834518, 96.426387, 99.463596, 108.701719, 109.808497, 118.184661, 334.542302], [309.467908, 312.619599, 327.782921, 334.199079, 335.405688, 357.236948, 376.930552, 380.832987, 384.573171, 1346.728449], [118.765679, 120.729558, 121.117266, 126.212677, 128.342058, 136.442118, 141.856008, 144.637816, 145.650802, 533.852937], [153.034277, 156.990161, 158.225674, 174.333230, 176.296565, 176.914221, 192.567813, 196.895797, 202.655461, 644.741771]]
### 8
fourier: [[394.259227, 401.324344, 425.462823, 426.995099, 432.696313, 456.267444, 476.875489, 487.058542, 496.089263, 1709.550290], [173.903443, 176.615319, 188.199584, 197.137385, 199.033337, 200.764073, 204.788757, 219.423663, 228.152444, 792.370520], [228.295056, 232.410158, 240.084454, 255.828396, 259.944230, 264.214475, 283.537540, 287.988174, 301.759175, 953.971605], [172.584836, 179.995055, 183.410930, 188.069683, 190.104096, 202.988188, 216.683705, 223.794017, 224.652117, 778.858531], [505.491496, 511.923373, 544.208126, 546.199638, 552.291946, 582.345048, 608.915056, 623.997285, 632.350738, 2207.534214], [18.631313, 19.297106, 19.536629, 19.739153, 19.775281, 20.696862, 20.723086, 21.367947, 23.152362, 110.593293], [522.742657, 529.853227, 556.443110, 576.403220, 577.857159, 598.965503, 634.851922, 652.370277, 665.988372, 2182.188706], [555.220630, 562.726681, 596.187757, 600.571757, 606.201048, 639.896083, 669.424357, 685.063580, 693.586729, 2407.092836]]
### 10
fourier: [[639.729792, 646.656226, 686.812951, 693.738239, 699.078737, 735.362250, 764.864239, 788.596646, 796.629084, 2808.668822]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 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": [[-1.787221, 0.02451, 0.100855, 0.361287, 0.990999], [1.735635, 0.350984, 0.464373, -0.036739, -0.784326], [-0.290588, 0.04269, -0.703579, -0.915052, -0.770848], [-1.613813, -0.347108, 0.617806, -0.416337, 0.455184], [1.452178, 0.849427, -0.145051, 0.128068, -0.774777], [-0.641999, -0.135793, -0.848613, 0.531147, 0.529091], [-0.15584, -1.01726, -0.395339, -0.502374, -0.536624], [-0.657202, -0.051077, -0.492837, 0.626482, 0.317529]], "network.0.bias": [0.087402, 0.274104, -0.920043, 0.254377, 0.147389, 0.038245, -0.997635, 0.568337], "network.2.weight": [[0.4982, -0.472767, 0.461693, 0.386256, -0.470516, -0.824451, 0.149242, -0.511437], [-0.986241, -0.15604, -0.978267, -0.655663, -0.773948, -0.220266, 0.11968, 0.872408], [-0.595127, 1.07442, 0.149952, -0.721319, 0.763002, -0.475243, 0.292255, -0.080198], [-0.69965, 0.42271, -0.155242, -0.64828, 0.189993, -0.572822, 0.184634, -1.00293], [0.54347, -0.432094, 0.185825, 0.985922, -0.837349, -0.331914, 0.277121, -0.402835], [0.42321, -0.4561, 0.028631, -0.847136, -0.088488, 0.234561, 0.327652, 0.451179], [-1.029956, -0.906832, -0.539719, -0.528538, -0.805404, -0.698667, 0.635629, -1.007767], [-0.726652, 0.597203, -0.073268, -0.908498, 0.634697, -1.003598, 0.151671, -0.624577]], "network.2.bias": [-0.111818, -0.633973, 0.13892, -0.583407, -0.159378, 0.720851, -1.447099, -0.083676], "network.4.weight": [[0.308038, 0.952568, -0.20361, 0.038181, 0.577498, -0.376568, -0.020206, 0.006498], [-0.273647, -0.743544, -0.146333, 0.07099, 0.503828, -0.149218, -0.434952, -0.156659], [0.73323, -0.635806, -0.774811, -0.663841, 0.002683, -0.363121, -0.434039, -0.476101], [-0.324058, 0.372797, -0.500524, -0.128673, -0.14215, 0.174244, 0.380783, -0.578292], [-0.791509, 0.037241, 0.893289, 0.304927, -0.638123, -0.439799, 0.096181, 0.451364], [-1.383865, -0.451698, 1.097975, 0.50057, -0.739293, -0.181731, 0.385538, 1.108172], [0.225409, 0.265999, -0.84152, -0.729314, -0.572422, 0.422381, -0.371986, -0.679105], [-0.700383, 0.596673, -0.471245, -0.273331, -0.411358, -0.577319, -0.189064, -0.331183]], "network.4.bias": [-0.165417, -0.009066, -0.973485, -0.24165, 0.094924, 0.142057, 0.509614, -0.35933], "network.6.weight": [[0.699239, 0.069208, 0.297308, 1.026443, 0.263073, -0.284147, -0.228147, 0.076355], [-0.822063, 0.115216, -0.322046, -1.350554, -1.342923, 0.012517, -0.143924, -1.191055], [-0.516589, -0.516152, -0.14994, -0.29071, 0.339232, 0.678368, -0.481756, 0.78155], [-0.998049, -1.287357, 0.382302, -0.349206, 0.519138, 1.037469, -0.469925, 0.536039], [-0.511328, -0.381101, 0.76602, -0.284373, -0.301362, 0.642177, 0.869087, 0.237442], [-0.338526, 0.294627, -0.884374, -0.329489, 0.564581, 1.177966, -0.20218, -1.623601], [0.384007, 0.001031, 0.637594, 1.175708, -0.496873, -0.26461, -0.253518, 0.930488], [-0.298256, -0.138238, -0.776265, -1.478325, -1.083354, -0.084563, -0.090785, -0.999107]], "network.6.bias": [0.146798, 0.148372, 0.012116, 0.168519, -0.643643, 0.565826, -0.365745, 0.219089], "network.8.weight": [[-0.311082, 0.207545, 0.118774, 0.349589, -0.20852, 0.959316, 0.560791, 0.002991], [-1.035581, 0.308159, -0.595837, -0.52503, 0.511069, 0.091727, 0.308417, 0.907429], [0.976253, 0.146074, 0.91588, 0.296123, 0.251179, -0.105617, 0.252223, 0.048878], [-0.113017, -0.535297, 0.020075, 0.208805, -0.607095, -0.600292, -0.13951, -0.886562], [-0.218428, -0.020356, 0.450088, 0.775773, -0.369887, 0.789128, -0.070952, 0.082628], [-0.765127, -0.089982, -0.411378, -0.181036, 0.81587, 0.118486, -0.102848, 0.187582], [0.047991, 0.572177, -1.326338, -1.021284, -0.260264, 0.046641, -0.907196, 0.38402], [-0.37188, -0.199308, 0.265952, 0.790582, -0.375088, 1.044654, -0.002051, 0.315181]], "network.8.bias": [-0.031638, -0.283794, -0.438889, -0.123093, 0.337541, -0.337253, 0.434696, 0.116111], "network.10.weight": [[-0.301918, 0.265479, 0.279327, -0.060188, -0.593401, 0.912211, -0.021642, -0.512207]], "network.10.bias": [-0.197143]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6859586238861084, "train_acc": 0.475, "val_loss": 0.7191098928451538, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6679191887378693, "train_acc": 0.605, "val_loss": 0.6837245225906372, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6219105422496796, "train_acc": 0.605, "val_loss": 0.6387661099433899, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6535751521587372, "train_acc": 0.47, "val_loss": 0.6617786884307861, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6649159789085388, "train_acc": 0.57, "val_loss": 0.5933834910392761, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.653764933347702, "train_acc": 0.63, "val_loss": 0.5866689682006836, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5951181054115295, "train_acc": 0.66, "val_loss": 0.5445587635040283, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5689084231853485, "train_acc": 0.715, "val_loss": 0.5628492832183838, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5094151645898819, "train_acc": 0.775, "val_loss": 0.4947265386581421, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5366036891937256, "train_acc": 0.73, "val_loss": 0.3667910695075989, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4417833089828491, "train_acc": 0.775, "val_loss": 0.4354392886161804, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.45811623334884644, "train_acc": 0.79, "val_loss": 0.34382209181785583, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.4723350703716278, "train_acc": 0.78, "val_loss": 0.36561378836631775, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7191098928451538, "final_val_loss": 0.6387661099433899, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.6617786884307861, "final_val_loss": 0.36561378836631775, "initial_val_acc": 0.66, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 9}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
236
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9676, "learning_rate": 0.08810901308614529, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[47.479056, 53.327568, 53.997518, 54.343002, 57.007511, 59.492777, 65.605796, 66.766648, 78.716033, 226.383868], [28.488657, 31.515381, 31.766815, 32.236435, 33.435400, 36.812017, 40.009007, 43.745882, 49.489787, 329.162660], [43.466038, 44.160712, 45.517992, 47.310868, 47.509982, 50.750649, 52.296340, 53.287427, 71.594602, 102.472439], [47.049908, 48.720903, 49.217726, 58.677762, 59.325265, 62.997499, 65.583908, 67.311399, 72.413324, 157.660644], [37.248057, 37.696296, 38.602610, 41.111566, 46.540185, 47.759679, 50.291317, 53.157536, 64.896373, 115.606459]]
### 2
fourier: [[54.008571, 55.911692, 60.421244, 68.649688, 69.378457, 71.628089, 75.283997, 76.123458, 90.366056, 326.893139], [92.563324, 92.812558, 105.609515, 113.209332, 119.476142, 125.623646, 126.659070, 132.577045, 143.781748, 369.557040], [60.569026, 66.409971, 78.308378, 79.617747, 88.183835, 93.557258, 95.032730, 96.139222, 105.999241, 224.948137], [64.031746, 67.101637, 78.617714, 80.180172, 87.935619, 92.574316, 94.898431, 96.131240, 105.802688, 299.263813], [76.435188, 83.879098, 85.159614, 93.283692, 96.630340, 105.534121, 111.654353, 118.709059, 133.920402, 310.461912]]
### 4
fourier: [[77.476034, 84.136911, 84.991978, 95.563876, 99.031661, 104.738191, 109.792252, 110.435041, 123.222255, 416.742598], [223.690529, 250.899688, 264.659670, 279.504505, 298.386419, 310.467255, 320.688619, 323.638249, 382.225333, 1073.375199], [73.768742, 90.059600, 93.875744, 95.859871, 96.091004, 107.437206, 112.705970, 119.234956, 140.974812, 400.389659], [26.647092, 28.777672, 31.136946, 32.598682, 34.823425, 36.448052, 37.996924, 38.360859, 44.003493, 125.682824], [270.192561, 303.162443, 319.177533, 337.672196, 360.741512, 374.989903, 387.665534, 390.830093, 461.842194, 1344.876547]]
### 6
fourier: [[377.100359, 425.212191, 448.942371, 472.379888, 501.806416, 529.053556, 541.413113, 546.707542, 649.638308, 1876.422884], [40.235575, 45.205847, 47.938559, 50.232427, 53.604428, 56.138282, 57.757834, 58.243694, 69.093701, 201.777829], [108.187742, 121.758657, 128.224056, 135.452320, 144.191200, 151.071108, 155.275900, 156.701844, 185.712342, 605.130323], [173.054747, 193.275179, 204.252148, 215.448928, 231.479718, 238.300940, 248.222319, 249.843201, 294.365388, 808.480436], [118.880542, 135.832991, 143.384396, 150.159652, 157.014192, 170.939653, 171.135988, 173.455824, 208.449766, 623.213986]]
### 8
fourier: [[211.715729, 238.659617, 252.147744, 265.107098, 281.755479, 296.938136, 303.977733, 306.897287, 364.698329, 1004.065290], [136.469755, 154.727573, 161.241558, 172.220919, 181.274677, 192.570238, 195.782561, 198.362015, 235.455225, 639.129796], [35.386277, 39.484701, 42.726854, 43.700876, 47.248142, 49.096339, 50.874873, 51.046488, 60.783019, 225.219560], [188.964531, 213.358023, 224.552511, 237.136479, 251.345234, 265.481903, 271.251524, 274.127499, 325.653173, 904.175308], [218.480117, 245.354107, 261.547189, 272.178557, 291.114990, 305.200859, 313.849739, 316.134574, 375.955587, 1095.330324]]
### 10
fourier: [[125.672840, 140.899630, 150.764616, 156.187490, 167.527586, 175.234744, 180.585964, 181.675996, 216.147385, 663.541327], [219.237771, 245.602382, 263.311853, 272.134607, 292.326613, 305.450305, 315.023001, 316.782980, 376.975873, 1081.230308], [97.448066, 109.257909, 116.889920, 121.103386, 129.892089, 135.879776, 140.024118, 140.862221, 167.597110, 473.056072], [361.681916, 405.446779, 433.968080, 449.390366, 482.146408, 504.243990, 519.710790, 522.794677, 622.026987, 1736.478852], [125.549697, 140.925280, 150.339261, 156.280764, 167.276337, 175.260427, 180.405940, 181.585694, 215.993915, 631.838782]]
### 12
fourier: [[105.114866, 117.810174, 126.162417, 130.567787, 140.136611, 146.518093, 151.042289, 151.923973, 180.768841, 443.793388]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.774046,
-0.364125,
0.205012,
0.097466,
-0.16253
],
[
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-0.193781,
-0.573972,
-0.393164
],
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## Activation Signature
### 0
fourier: [[47.479056, 53.327568, 53.997518, 54.343002, 57.007511, 59.492777, 65.605796, 66.766648, 78.716033, 226.383868], [28.488657, 31.515381, 31.766815, 32.236435, 33.435400, 36.812017, 40.009007, 43.745882, 49.489787, 329.162660], [43.466038, 44.160712, 45.517992, 47.310868, 47.509982, 50.750649, 52.296340, 53.287427, 71.594602, 102.472439], [47.049908, 48.720903, 49.217726, 58.677762, 59.325265, 62.997499, 65.583908, 67.311399, 72.413324, 157.660644], [37.248057, 37.696296, 38.602610, 41.111566, 46.540185, 47.759679, 50.291317, 53.157536, 64.896373, 115.606459]]
### 2
fourier: [[54.008571, 55.911692, 60.421244, 68.649688, 69.378457, 71.628089, 75.283997, 76.123458, 90.366056, 326.893139], [92.563324, 92.812558, 105.609515, 113.209332, 119.476142, 125.623646, 126.659070, 132.577045, 143.781748, 369.557040], [60.569026, 66.409971, 78.308378, 79.617747, 88.183835, 93.557258, 95.032730, 96.139222, 105.999241, 224.948137], [64.031746, 67.101637, 78.617714, 80.180172, 87.935619, 92.574316, 94.898431, 96.131240, 105.802688, 299.263813], [76.435188, 83.879098, 85.159614, 93.283692, 96.630340, 105.534121, 111.654353, 118.709059, 133.920402, 310.461912]]
### 4
fourier: [[77.476034, 84.136911, 84.991978, 95.563876, 99.031661, 104.738191, 109.792252, 110.435041, 123.222255, 416.742598], [223.690529, 250.899688, 264.659670, 279.504505, 298.386419, 310.467255, 320.688619, 323.638249, 382.225333, 1073.375199], [73.768742, 90.059600, 93.875744, 95.859871, 96.091004, 107.437206, 112.705970, 119.234956, 140.974812, 400.389659], [26.647092, 28.777672, 31.136946, 32.598682, 34.823425, 36.448052, 37.996924, 38.360859, 44.003493, 125.682824], [270.192561, 303.162443, 319.177533, 337.672196, 360.741512, 374.989903, 387.665534, 390.830093, 461.842194, 1344.876547]]
### 6
fourier: [[377.100359, 425.212191, 448.942371, 472.379888, 501.806416, 529.053556, 541.413113, 546.707542, 649.638308, 1876.422884], [40.235575, 45.205847, 47.938559, 50.232427, 53.604428, 56.138282, 57.757834, 58.243694, 69.093701, 201.777829], [108.187742, 121.758657, 128.224056, 135.452320, 144.191200, 151.071108, 155.275900, 156.701844, 185.712342, 605.130323], [173.054747, 193.275179, 204.252148, 215.448928, 231.479718, 238.300940, 248.222319, 249.843201, 294.365388, 808.480436], [118.880542, 135.832991, 143.384396, 150.159652, 157.014192, 170.939653, 171.135988, 173.455824, 208.449766, 623.213986]]
### 8
fourier: [[211.715729, 238.659617, 252.147744, 265.107098, 281.755479, 296.938136, 303.977733, 306.897287, 364.698329, 1004.065290], [136.469755, 154.727573, 161.241558, 172.220919, 181.274677, 192.570238, 195.782561, 198.362015, 235.455225, 639.129796], [35.386277, 39.484701, 42.726854, 43.700876, 47.248142, 49.096339, 50.874873, 51.046488, 60.783019, 225.219560], [188.964531, 213.358023, 224.552511, 237.136479, 251.345234, 265.481903, 271.251524, 274.127499, 325.653173, 904.175308], [218.480117, 245.354107, 261.547189, 272.178557, 291.114990, 305.200859, 313.849739, 316.134574, 375.955587, 1095.330324]]
### 10
fourier: [[125.672840, 140.899630, 150.764616, 156.187490, 167.527586, 175.234744, 180.585964, 181.675996, 216.147385, 663.541327], [219.237771, 245.602382, 263.311853, 272.134607, 292.326613, 305.450305, 315.023001, 316.782980, 376.975873, 1081.230308], [97.448066, 109.257909, 116.889920, 121.103386, 129.892089, 135.879776, 140.024118, 140.862221, 167.597110, 473.056072], [361.681916, 405.446779, 433.968080, 449.390366, 482.146408, 504.243990, 519.710790, 522.794677, 622.026987, 1736.478852], [125.549697, 140.925280, 150.339261, 156.280764, 167.276337, 175.260427, 180.405940, 181.585694, 215.993915, 631.838782]]
### 12
fourier: [[105.114866, 117.810174, 126.162417, 130.567787, 140.136611, 146.518093, 151.042289, 151.923973, 180.768841, 443.793388]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[1.774046, -0.364125, 0.205012, 0.097466, -0.16253], [-0.566442, -0.33422, -0.193781, -0.573972, -0.393164], [1.14552, 0.839895, -0.384397, -0.038155, -1.063549], [1.764868, 0.184366, 0.007518, -0.02597, -0.714658], [-1.440768, 0.594939, 0.256742, 0.317144, 0.609517]], "network.0.bias": [0.534388, -0.222896, 0.379067, 0.140948, 0.025219], "network.2.weight": [[-0.673093, 0.036472, 0.540345, -0.980199, -0.327358], [1.283324, -0.396763, 0.922534, 0.116699, -0.437718], [0.839918, -0.024709, 0.683434, 0.070082, -0.62185], [0.939961, -0.560315, 0.708201, 0.005055, -0.478412], [1.437644, 0.187647, 0.077299, 0.043282, -0.649163]], "network.2.bias": [-0.120707, -0.31558, 0.135955, 0.512558, 0.768772], "network.4.weight": [[-0.222763, -0.401364, 0.03297, -0.748401, 0.054627], [-0.292443, 0.713223, 0.771301, 0.403173, 1.304435], [0.733541, -0.434752, 0.148151, 0.305481, 1.235574], [-0.253043, -0.143876, -0.238064, 0.077026, -0.064964], [0.594172, 0.702844, 1.037468, 0.627684, 1.55463]], "network.4.bias": [-0.443835, -0.233745, -0.020192, -0.044396, 0.223092], "network.6.weight": [[0.140596, 0.505468, 0.357318, 0.314584, 0.880605], [-0.353589, -0.134119, -0.025778, -0.284232, -0.031005], [-0.208268, -0.016127, -0.053525, -0.059589, -0.372531], [0.23063, -0.287397, 0.087689, -0.072407, -0.426651], [0.279754, -0.14281, -0.359035, 0.234333, -0.224317]], "network.6.bias": [0.037142, -0.056735, -0.724358, 0.443067, -0.256299], "network.8.weight": [[0.561488, -0.276667, -0.102445, 0.052768, 0.164035], [0.361171, -0.40261, -0.198618, -0.661442, 0.06066], [-0.094184, -0.289932, -0.116927, -0.324731, -0.43874], [0.500858, 0.001511, 0.029157, -0.222362, -0.370017], [-0.580209, 0.337986, -0.267734, -0.780961, 0.401935]], "network.8.bias": [-0.554645, -0.373689, -0.511788, -0.377579, -0.008563], "network.10.weight": [[-0.433906, 0.110139, 0.033195, -0.259662, -0.0983], [-0.402822, -0.807068, 0.197961, -0.129749, 0.044675], [-0.058452, -0.262211, -0.329899, -0.262294, -0.151794], [0.764287, 0.459895, 0.269376, 0.730255, 0.009923], [0.078319, -0.093769, -0.327767, -0.685852, -0.527259]], "network.10.bias": [-0.656672, -0.335436, -0.048039, -0.023203, -0.279934], "network.12.weight": [[-0.108229, -0.211135, -0.32237, -0.290652, -0.190136]], "network.12.bias": [0.678584]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7389497458934784, "train_acc": 0.44, "val_loss": 0.6940471529960632, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6814596951007843, "train_acc": 0.555, "val_loss": 0.7181776165962219, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6961455643177032, "train_acc": 0.56, "val_loss": 0.6950346231460571, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6795355379581451, "train_acc": 0.56, "val_loss": 0.6618919968605042, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6540728807449341, "train_acc": 0.56, "val_loss": 0.6053071618080139, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6341220736503601, "train_acc": 0.495, "val_loss": 0.530846118927002, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5842017531394958, "train_acc": 0.705, "val_loss": 0.5027346014976501, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6816189736127853, "train_acc": 0.71, "val_loss": 0.44313734769821167, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5101198554039001, "train_acc": 0.735, "val_loss": 0.44784536957740784, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5531590580940247, "train_acc": 0.7, "val_loss": 0.4405519366264343, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5370744317770004, "train_acc": 0.7, "val_loss": 0.49523162841796875, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.6124486327171326, "train_acc": 0.655, "val_loss": 0.42485541105270386, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.5569864809513092, "train_acc": 0.695, "val_loss": 0.44061970710754395, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.554741621017456, "train_acc": 0.705, "val_loss": 0.45662087202072144, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.5464470386505127, "train_acc": 0.72, "val_loss": 0.464386910200119, "val_acc": 0.8}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6940471529960632, "final_val_loss": 0.6053071618080139, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.530846118927002, "final_val_loss": 0.464386910200119, "initial_val_acc": 0.78, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 9}, "improvement": 0.28, "first_improvement_epoch": 4}}
|
237
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3100, "learning_rate": 0.07554449635737491, "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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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[21.317823, 21.728544, 21.731755, 25.344139, 27.487285, 28.041290, 30.856558, 34.705987, 35.967906, 93.096020], [25.819964, 27.605682, 28.000512, 28.640378, 28.750031, 31.805116, 32.831135, 38.329971, 42.219768, 66.294826], [20.697858, 21.399542, 21.567192, 25.421449, 25.483339, 26.987227, 27.279298, 28.218407, 34.388940, 261.729913], [30.217084, 32.862296, 33.899227, 34.505675, 37.903255, 38.487537, 42.017772, 46.217134, 49.363850, 133.919028], [24.808398, 25.339125, 26.513345, 28.061576, 28.082055, 30.643738, 30.667858, 32.085647, 33.552449, 40.648453], [28.317946, 29.299771, 31.749759, 33.481313, 36.074179, 36.896310, 37.364050, 37.730422, 42.906038, 235.746948], [25.436223, 27.200629, 29.524762, 31.765985, 32.212632, 32.850420, 39.638112, 43.701504, 47.021223, 290.342150], [24.205869, 24.437354, 25.024809, 25.540026, 27.572938, 30.905595, 30.964086, 31.101665, 35.088328, 82.512698]]
### 2
fourier: [[60.477171, 62.919760, 63.255313, 67.433117, 68.788318, 72.769845, 77.880801, 89.166209, 92.363658, 443.529057], [12.896797, 13.410568, 14.089269, 14.234089, 14.720479, 16.097781, 16.356091, 16.756138, 19.298146, 21.200978], [21.941970, 22.441887, 22.483486, 27.136643, 28.548228, 29.728109, 30.988187, 35.392017, 42.389460, 122.795831], [29.870982, 30.209370, 31.224343, 31.814563, 34.797169, 37.004982, 37.847892, 43.594513, 51.649931, 118.754050], [63.281538, 70.771024, 72.700550, 77.936267, 78.872329, 79.655733, 82.385335, 83.292585, 98.214624, 497.360360], [27.392993, 27.982378, 28.249351, 29.355277, 29.482537, 33.177843, 33.804970, 38.527130, 44.256143, 137.449297], [19.927194, 20.273383, 21.026136, 22.292484, 22.482691, 22.771364, 23.005779, 23.015580, 26.246848, 170.537301], [29.725698, 31.777345, 31.812997, 32.629908, 32.935877, 34.904517, 37.080645, 38.122689, 39.826410, 258.405652]]
### 4
fourier: [[48.773073, 51.767032, 54.187694, 58.269994, 59.632048, 60.379812, 62.537666, 62.599405, 73.043992, 393.868485], [27.409561, 29.121157, 29.649934, 31.972260, 33.054083, 33.605564, 35.006109, 35.936992, 40.460158, 224.112964], [80.990495, 81.089945, 82.557671, 87.612940, 96.346262, 97.907785, 100.418594, 119.420784, 120.586049, 572.967018], [21.745349, 22.326516, 23.236355, 23.876438, 24.956661, 25.490971, 28.034240, 31.506761, 31.731990, 184.754271], [37.432308, 40.155197, 40.301418, 40.460481, 44.528014, 44.769380, 47.473045, 48.962325, 53.745868, 283.108071], [97.135095, 98.161615, 98.578270, 103.526101, 115.296290, 119.246284, 119.491144, 144.189233, 148.791926, 703.688471], [64.933284, 68.139148, 68.341678, 75.571165, 76.586777, 77.263276, 81.812381, 87.269388, 95.320589, 502.479799], [20.770110, 21.502095, 23.691742, 25.055073, 26.874531, 27.904516, 28.915046, 30.212422, 31.439642, 242.980632]]
### 6
fourier: [[70.519281, 71.547350, 75.655724, 79.744195, 85.463455, 86.367766, 91.757103, 101.332065, 105.727272, 496.929967], [8.550508, 8.643058, 8.763985, 9.335118, 9.587049, 9.736200, 10.834813, 13.545139, 17.175457, 63.830812], [10.881759, 10.911223, 12.040638, 12.754594, 13.304634, 13.366481, 14.156527, 14.728337, 16.332302, 113.366188], [67.019277, 68.542678, 69.271124, 72.035966, 80.370055, 81.709800, 88.020424, 100.263398, 104.128664, 416.309500], [128.835605, 131.356905, 136.738743, 144.381301, 155.942427, 157.297902, 167.872131, 188.126583, 192.970238, 934.244451], [137.639922, 140.810577, 144.910224, 153.059973, 166.366073, 167.798064, 179.561819, 203.563130, 206.049711, 1007.208347], [68.220234, 68.830685, 78.242147, 82.901799, 84.660311, 85.156020, 88.460756, 89.795760, 103.515372, 586.521694], [69.648336, 70.948456, 72.157909, 74.758835, 83.570626, 84.730697, 91.545282, 104.134200, 108.616744, 461.290769]]
### 8
fourier: [[16.601696, 16.664707, 18.726005, 19.303326, 20.076845, 20.581883, 21.950632, 22.643415, 25.023947, 152.202397], [204.114625, 209.245102, 214.461853, 224.851008, 246.005674, 251.420023, 267.550765, 304.131162, 305.523671, 1461.812513], [5.880229, 6.121809, 6.465498, 6.972084, 8.579451, 8.645912, 8.983448, 9.577837, 9.895911, 80.777978], [214.498311, 219.670038, 225.750293, 236.886455, 258.681289, 263.944186, 280.917235, 318.623542, 321.121843, 1535.153360], [110.181131, 110.851605, 120.709222, 128.253232, 131.939609, 134.732016, 143.739755, 154.334556, 165.465558, 841.818338], [29.313609, 29.618405, 30.127976, 31.119364, 35.067314, 37.676896, 39.475528, 44.009300, 47.733074, 154.276403], [70.262835, 71.019968, 76.662678, 81.227650, 84.726455, 85.764770, 91.955332, 99.473318, 105.608944, 566.197725], [101.567855, 104.250767, 105.832513, 110.423933, 121.894386, 126.328676, 132.870668, 151.935628, 152.829823, 704.507123]]
### 10
fourier: [[248.314609, 253.606707, 265.640039, 278.905101, 300.685755, 304.765534, 326.037583, 364.768309, 373.542903, 1792.543997]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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.10.bias": [
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}
## Activation Signature
### 0
fourier: [[21.317823, 21.728544, 21.731755, 25.344139, 27.487285, 28.041290, 30.856558, 34.705987, 35.967906, 93.096020], [25.819964, 27.605682, 28.000512, 28.640378, 28.750031, 31.805116, 32.831135, 38.329971, 42.219768, 66.294826], [20.697858, 21.399542, 21.567192, 25.421449, 25.483339, 26.987227, 27.279298, 28.218407, 34.388940, 261.729913], [30.217084, 32.862296, 33.899227, 34.505675, 37.903255, 38.487537, 42.017772, 46.217134, 49.363850, 133.919028], [24.808398, 25.339125, 26.513345, 28.061576, 28.082055, 30.643738, 30.667858, 32.085647, 33.552449, 40.648453], [28.317946, 29.299771, 31.749759, 33.481313, 36.074179, 36.896310, 37.364050, 37.730422, 42.906038, 235.746948], [25.436223, 27.200629, 29.524762, 31.765985, 32.212632, 32.850420, 39.638112, 43.701504, 47.021223, 290.342150], [24.205869, 24.437354, 25.024809, 25.540026, 27.572938, 30.905595, 30.964086, 31.101665, 35.088328, 82.512698]]
### 2
fourier: [[60.477171, 62.919760, 63.255313, 67.433117, 68.788318, 72.769845, 77.880801, 89.166209, 92.363658, 443.529057], [12.896797, 13.410568, 14.089269, 14.234089, 14.720479, 16.097781, 16.356091, 16.756138, 19.298146, 21.200978], [21.941970, 22.441887, 22.483486, 27.136643, 28.548228, 29.728109, 30.988187, 35.392017, 42.389460, 122.795831], [29.870982, 30.209370, 31.224343, 31.814563, 34.797169, 37.004982, 37.847892, 43.594513, 51.649931, 118.754050], [63.281538, 70.771024, 72.700550, 77.936267, 78.872329, 79.655733, 82.385335, 83.292585, 98.214624, 497.360360], [27.392993, 27.982378, 28.249351, 29.355277, 29.482537, 33.177843, 33.804970, 38.527130, 44.256143, 137.449297], [19.927194, 20.273383, 21.026136, 22.292484, 22.482691, 22.771364, 23.005779, 23.015580, 26.246848, 170.537301], [29.725698, 31.777345, 31.812997, 32.629908, 32.935877, 34.904517, 37.080645, 38.122689, 39.826410, 258.405652]]
### 4
fourier: [[48.773073, 51.767032, 54.187694, 58.269994, 59.632048, 60.379812, 62.537666, 62.599405, 73.043992, 393.868485], [27.409561, 29.121157, 29.649934, 31.972260, 33.054083, 33.605564, 35.006109, 35.936992, 40.460158, 224.112964], [80.990495, 81.089945, 82.557671, 87.612940, 96.346262, 97.907785, 100.418594, 119.420784, 120.586049, 572.967018], [21.745349, 22.326516, 23.236355, 23.876438, 24.956661, 25.490971, 28.034240, 31.506761, 31.731990, 184.754271], [37.432308, 40.155197, 40.301418, 40.460481, 44.528014, 44.769380, 47.473045, 48.962325, 53.745868, 283.108071], [97.135095, 98.161615, 98.578270, 103.526101, 115.296290, 119.246284, 119.491144, 144.189233, 148.791926, 703.688471], [64.933284, 68.139148, 68.341678, 75.571165, 76.586777, 77.263276, 81.812381, 87.269388, 95.320589, 502.479799], [20.770110, 21.502095, 23.691742, 25.055073, 26.874531, 27.904516, 28.915046, 30.212422, 31.439642, 242.980632]]
### 6
fourier: [[70.519281, 71.547350, 75.655724, 79.744195, 85.463455, 86.367766, 91.757103, 101.332065, 105.727272, 496.929967], [8.550508, 8.643058, 8.763985, 9.335118, 9.587049, 9.736200, 10.834813, 13.545139, 17.175457, 63.830812], [10.881759, 10.911223, 12.040638, 12.754594, 13.304634, 13.366481, 14.156527, 14.728337, 16.332302, 113.366188], [67.019277, 68.542678, 69.271124, 72.035966, 80.370055, 81.709800, 88.020424, 100.263398, 104.128664, 416.309500], [128.835605, 131.356905, 136.738743, 144.381301, 155.942427, 157.297902, 167.872131, 188.126583, 192.970238, 934.244451], [137.639922, 140.810577, 144.910224, 153.059973, 166.366073, 167.798064, 179.561819, 203.563130, 206.049711, 1007.208347], [68.220234, 68.830685, 78.242147, 82.901799, 84.660311, 85.156020, 88.460756, 89.795760, 103.515372, 586.521694], [69.648336, 70.948456, 72.157909, 74.758835, 83.570626, 84.730697, 91.545282, 104.134200, 108.616744, 461.290769]]
### 8
fourier: [[16.601696, 16.664707, 18.726005, 19.303326, 20.076845, 20.581883, 21.950632, 22.643415, 25.023947, 152.202397], [204.114625, 209.245102, 214.461853, 224.851008, 246.005674, 251.420023, 267.550765, 304.131162, 305.523671, 1461.812513], [5.880229, 6.121809, 6.465498, 6.972084, 8.579451, 8.645912, 8.983448, 9.577837, 9.895911, 80.777978], [214.498311, 219.670038, 225.750293, 236.886455, 258.681289, 263.944186, 280.917235, 318.623542, 321.121843, 1535.153360], [110.181131, 110.851605, 120.709222, 128.253232, 131.939609, 134.732016, 143.739755, 154.334556, 165.465558, 841.818338], [29.313609, 29.618405, 30.127976, 31.119364, 35.067314, 37.676896, 39.475528, 44.009300, 47.733074, 154.276403], [70.262835, 71.019968, 76.662678, 81.227650, 84.726455, 85.764770, 91.955332, 99.473318, 105.608944, 566.197725], [101.567855, 104.250767, 105.832513, 110.423933, 121.894386, 126.328676, 132.870668, 151.935628, 152.829823, 704.507123]]
### 10
fourier: [[248.314609, 253.606707, 265.640039, 278.905101, 300.685755, 304.765534, 326.037583, 364.768309, 373.542903, 1792.543997]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6878432333469391, "train_acc": 0.56, "val_loss": 0.6904676556587219, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6827724874019623, "train_acc": 0.56, "val_loss": 0.6878294348716736, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6762613654136658, "train_acc": 0.56, "val_loss": 0.6550900936126709, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5886671543121338, "train_acc": 0.53, "val_loss": 0.5144574642181396, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.42484909296035767, "train_acc": 0.84, "val_loss": 0.4804510772228241, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3330790400505066, "train_acc": 0.85, "val_loss": 0.4175300598144531, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.43018685281276703, "train_acc": 0.865, "val_loss": 0.39557549357414246, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3478652834892273, "train_acc": 0.885, "val_loss": 0.3762039840221405, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.32803256809711456, "train_acc": 0.875, "val_loss": 0.48746806383132935, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.31366555392742157, "train_acc": 0.875, "val_loss": 0.43480345606803894, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2914666086435318, "train_acc": 0.88, "val_loss": 0.4020683169364929, "val_acc": 0.76}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6904676556587219, "final_val_loss": 0.6550900936126709, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5144574642181396, "final_val_loss": 0.4020683169364929, "initial_val_acc": 0.72, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
238
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{"target_pattern": "alternating", "degraded_accuracy": 0.78, "improved_accuracy": 1.0, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9178, "learning_rate": 0.08836061769424453, "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:
{
"network.0.weight": [
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-0.576193,
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0.392558,
-0.601322
],
[
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-0.06861,
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[
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[
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[
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}
## Activation Signature
### 0
fourier: [[27.550414, 28.001902, 29.373948, 29.994381, 33.156390, 35.615147, 37.668854, 40.441189, 44.374639, 100.061231], [24.393217, 24.658055, 25.316158, 25.679051, 26.106401, 27.386241, 29.783141, 30.722862, 31.422240, 32.536134], [24.044002, 24.112732, 24.234228, 24.272550, 24.858003, 25.205986, 27.107283, 28.582317, 37.418225, 97.678409], [23.622893, 24.196146, 24.302434, 24.615085, 24.633548, 25.802020, 27.997054, 28.028942, 31.721902, 60.735243], [33.146528, 33.720625, 36.095710, 44.027936, 45.796624, 51.088159, 53.227379, 58.469277, 60.501315, 311.754784], [26.393957, 27.220268, 28.216739, 28.592180, 30.039291, 32.641407, 34.201656, 34.213854, 36.466591, 160.746642]]
### 2
fourier: [[13.574904, 14.984152, 16.318529, 16.898929, 18.366459, 19.216694, 19.413456, 19.615869, 21.174581, 26.815827], [9.943160, 11.036242, 11.199406, 12.207147, 13.640434, 15.105112, 15.861466, 16.890135, 17.798565, 19.461293], [20.866236, 23.140075, 23.916413, 24.384621, 24.568338, 25.654953, 25.965430, 28.060354, 36.886940, 118.278702], [15.696504, 15.735546, 15.913339, 17.755392, 18.521470, 19.271325, 19.780592, 22.943080, 23.211064, 95.667742], [16.632390, 17.621535, 18.473883, 18.554365, 19.914971, 21.424977, 25.457686, 26.962488, 27.361706, 98.779336], [22.477612, 23.016397, 23.284952, 23.818681, 25.869998, 26.151285, 28.946324, 31.167195, 33.596901, 130.809143]]
### 4
fourier: [[41.506678, 42.346413, 43.617592, 44.176504, 49.661681, 50.388955, 56.462987, 61.225802, 61.279464, 159.367791], [34.476360, 36.080227, 36.979750, 39.122101, 44.856347, 44.917167, 46.829790, 47.959655, 51.971440, 130.239974], [32.964508, 33.498806, 33.621427, 35.933327, 40.142136, 41.698679, 43.891063, 44.656833, 46.589080, 145.042298], [21.154288, 21.572537, 22.043138, 22.087423, 22.485124, 25.344704, 28.613260, 28.870127, 31.615623, 130.797530], [38.460820, 40.023650, 44.388116, 47.206367, 51.589032, 55.266101, 55.462005, 57.177261, 62.178109, 169.435123], [52.054975, 53.765993, 60.298323, 60.475087, 68.827173, 70.890340, 76.853609, 77.137595, 85.168843, 363.119574]]
### 6
fourier: [[29.704112, 33.623336, 35.643275, 38.282475, 38.617573, 38.937844, 46.155962, 46.919450, 48.502438, 155.586863], [24.360803, 31.232896, 31.290695, 32.264555, 33.936604, 34.038289, 37.013021, 37.908594, 41.292049, 41.604706], [16.020099, 16.356498, 16.736373, 18.111566, 18.425316, 20.834904, 21.357909, 22.376103, 22.380789, 24.713160], [31.889302, 36.919907, 38.508883, 40.930503, 41.725280, 42.203607, 49.860976, 50.902134, 52.349203, 200.218565], [28.986061, 34.127862, 36.833229, 37.455419, 38.353777, 38.579826, 44.928063, 46.685819, 48.063718, 173.619027], [24.276365, 28.729312, 30.899529, 31.061830, 31.419578, 31.682352, 36.748155, 38.582341, 39.790084, 120.326520]]
### 8
fourier: [[70.023051, 78.923424, 83.988558, 84.927457, 94.355963, 94.769929, 108.281905, 109.958145, 112.843049, 358.509418]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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],
[
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],
[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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"network.6.bias": [
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"network.8.weight": [
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],
"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[27.550414, 28.001902, 29.373948, 29.994381, 33.156390, 35.615147, 37.668854, 40.441189, 44.374639, 100.061231], [24.393217, 24.658055, 25.316158, 25.679051, 26.106401, 27.386241, 29.783141, 30.722862, 31.422240, 32.536134], [24.044002, 24.112732, 24.234228, 24.272550, 24.858003, 25.205986, 27.107283, 28.582317, 37.418225, 97.678409], [23.622893, 24.196146, 24.302434, 24.615085, 24.633548, 25.802020, 27.997054, 28.028942, 31.721902, 60.735243], [33.146528, 33.720625, 36.095710, 44.027936, 45.796624, 51.088159, 53.227379, 58.469277, 60.501315, 311.754784], [26.393957, 27.220268, 28.216739, 28.592180, 30.039291, 32.641407, 34.201656, 34.213854, 36.466591, 160.746642]]
### 2
fourier: [[13.574904, 14.984152, 16.318529, 16.898929, 18.366459, 19.216694, 19.413456, 19.615869, 21.174581, 26.815827], [9.943160, 11.036242, 11.199406, 12.207147, 13.640434, 15.105112, 15.861466, 16.890135, 17.798565, 19.461293], [20.866236, 23.140075, 23.916413, 24.384621, 24.568338, 25.654953, 25.965430, 28.060354, 36.886940, 118.278702], [15.696504, 15.735546, 15.913339, 17.755392, 18.521470, 19.271325, 19.780592, 22.943080, 23.211064, 95.667742], [16.632390, 17.621535, 18.473883, 18.554365, 19.914971, 21.424977, 25.457686, 26.962488, 27.361706, 98.779336], [22.477612, 23.016397, 23.284952, 23.818681, 25.869998, 26.151285, 28.946324, 31.167195, 33.596901, 130.809143]]
### 4
fourier: [[41.506678, 42.346413, 43.617592, 44.176504, 49.661681, 50.388955, 56.462987, 61.225802, 61.279464, 159.367791], [34.476360, 36.080227, 36.979750, 39.122101, 44.856347, 44.917167, 46.829790, 47.959655, 51.971440, 130.239974], [32.964508, 33.498806, 33.621427, 35.933327, 40.142136, 41.698679, 43.891063, 44.656833, 46.589080, 145.042298], [21.154288, 21.572537, 22.043138, 22.087423, 22.485124, 25.344704, 28.613260, 28.870127, 31.615623, 130.797530], [38.460820, 40.023650, 44.388116, 47.206367, 51.589032, 55.266101, 55.462005, 57.177261, 62.178109, 169.435123], [52.054975, 53.765993, 60.298323, 60.475087, 68.827173, 70.890340, 76.853609, 77.137595, 85.168843, 363.119574]]
### 6
fourier: [[29.704112, 33.623336, 35.643275, 38.282475, 38.617573, 38.937844, 46.155962, 46.919450, 48.502438, 155.586863], [24.360803, 31.232896, 31.290695, 32.264555, 33.936604, 34.038289, 37.013021, 37.908594, 41.292049, 41.604706], [16.020099, 16.356498, 16.736373, 18.111566, 18.425316, 20.834904, 21.357909, 22.376103, 22.380789, 24.713160], [31.889302, 36.919907, 38.508883, 40.930503, 41.725280, 42.203607, 49.860976, 50.902134, 52.349203, 200.218565], [28.986061, 34.127862, 36.833229, 37.455419, 38.353777, 38.579826, 44.928063, 46.685819, 48.063718, 173.619027], [24.276365, 28.729312, 30.899529, 31.061830, 31.419578, 31.682352, 36.748155, 38.582341, 39.790084, 120.326520]]
### 8
fourier: [[70.023051, 78.923424, 83.988558, 84.927457, 94.355963, 94.769929, 108.281905, 109.958145, 112.843049, 358.509418]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[-0.576193, -0.007339, -0.279941, 0.392558, -0.601322], [-0.743218, 0.040272, -0.06861, -0.192292, 0.756307], [0.596799, -0.281842, 0.106561, -0.52616, 0.149706], [0.682976, 0.175968, -0.159631, -0.289057, -0.52507], [-0.533952, 0.1219, -0.776292, -0.140296, -0.851657], [-0.547366, -0.15994, 0.837539, 0.275526, 0.382536]], "network.0.bias": [0.103198, 0.143484, -0.593331, -0.24451, -0.048774, -0.053484], "network.2.weight": [[-0.422122, 1.010256, -0.205825, 0.619763, 0.843767, -0.037324], [-0.315975, 0.788562, -0.250801, 0.255749, 0.157267, 0.062103], [-0.497451, 1.042481, -0.141158, 0.63461, 0.323683, -0.684783], [-0.128712, 0.382858, -0.585064, 1.068331, 0.176494, 0.551019], [0.172294, 0.724159, -0.695483, 0.007244, -0.110601, 0.425795], [-0.05614, 0.58118, -0.996115, 0.178548, 0.273495, 0.705168]], "network.2.bias": [-0.259311, -0.334155, -0.491696, -0.305695, 0.114434, 0.073802], "network.4.weight": [[-0.925431, -1.252028, -0.625842, 0.067786, -0.271938, -0.83036], [-0.775189, -0.896764, -1.181417, -0.094937, -0.068643, -0.723662], [-1.073726, -0.819844, -0.625143, -0.229253, 0.098098, -0.548716], [0.537951, 0.603459, 0.777148, 0.269764, -0.732315, -0.666639], [-0.975096, -0.391287, -0.928521, -0.594287, -0.259223, -0.759244], [0.95138, 0.741104, 1.015722, 0.749315, 0.431323, 1.123271]], "network.4.bias": [0.4693, 0.513558, 0.077322, -0.411691, 0.812903, 0.350834], "network.6.weight": [[-0.289159, -0.236113, -0.552726, 0.933903, -0.752559, 0.491968], [1.021709, 1.192187, 0.571891, -0.686034, 1.146547, -0.324602], [0.400984, 0.556775, 1.060779, -1.351344, 0.571747, -0.078379], [-0.800727, -0.961282, -0.616426, 1.025919, -0.061031, 0.527964], [-0.328081, -1.044248, -0.638333, 0.855272, -0.55335, 0.463253], [-0.735321, -0.678076, -0.461882, 0.69621, -0.457513, 0.376029]], "network.6.bias": [-0.113321, 0.572773, -0.018243, 0.22729, 0.290092, 0.03395], "network.8.weight": [[-0.48864, 0.768292, 0.082624, -0.756484, -0.706401, -0.392386]], "network.8.bias": [0.416995]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7009536325931549, "train_acc": 0.465, "val_loss": 0.6745201945304871, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6906992495059967, "train_acc": 0.555, "val_loss": 0.6740911602973938, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6747393310070038, "train_acc": 0.585, "val_loss": 0.6403204202651978, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6538558602333069, "train_acc": 0.64, "val_loss": 0.5713573694229126, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.544497162103653, "train_acc": 0.835, "val_loss": 0.4955657124519348, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.40707866847515106, "train_acc": 0.82, "val_loss": 0.23373112082481384, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.251531258225441, "train_acc": 0.915, "val_loss": 0.08526693284511566, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.19938883185386658, "train_acc": 0.945, "val_loss": 0.03617925941944122, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.16604609042406082, "train_acc": 0.955, "val_loss": 0.049176860600709915, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.18277036398649216, "train_acc": 0.94, "val_loss": 0.09375273436307907, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.17063362151384354, "train_acc": 0.93, "val_loss": 0.07841368019580841, "val_acc": 0.96}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6745201945304871, "final_val_loss": 0.6403204202651978, "initial_val_acc": 0.56, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.5713573694229126, "final_val_loss": 0.07841368019580841, "initial_val_acc": 0.82, "final_val_acc": 0.96, "best_val_acc": 1.0, "best_epoch": 7}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
239
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.68, "improved_accuracy": 0.9, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8732, "learning_rate": 0.04533433814235243, "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
fourier: [[19.614461, 19.900456, 21.663692, 23.044765, 26.869722, 29.402928, 30.116217, 30.332075, 33.741227, 93.156198], [28.664490, 28.984369, 31.404415, 32.056346, 32.409026, 33.232562, 33.678851, 36.873009, 43.802065, 209.141030], [9.463364, 10.466951, 10.892364, 10.928772, 11.123126, 12.077762, 12.155362, 12.276875, 12.655779, 60.878068], [13.814267, 14.715233, 15.878395, 17.391710, 17.465677, 17.720068, 18.391119, 18.701165, 21.530707, 53.467861], [10.317898, 10.355584, 11.536622, 11.806971, 13.019837, 13.217790, 13.587200, 14.819124, 15.967677, 116.577369], [19.981371, 20.097388, 21.868047, 22.167746, 22.210995, 22.284154, 23.234796, 24.404737, 25.769293, 29.793720], [19.371267, 20.533247, 21.486513, 21.875255, 24.338653, 24.873242, 27.892889, 28.848101, 29.970647, 197.265248], [14.195866, 16.450857, 16.963680, 17.140584, 17.315864, 18.004238, 18.118623, 19.830174, 22.497489, 28.611715]]
### 2
fourier: [[11.157779, 12.181893, 12.284144, 12.743475, 13.169045, 13.834992, 14.053939, 14.409714, 14.579195, 155.601122], [18.338834, 19.217901, 19.633360, 20.634769, 21.741093, 21.911347, 24.988038, 25.724530, 28.231139, 67.159598], [6.713933, 7.855471, 7.927365, 8.508328, 9.025587, 10.248376, 10.514829, 11.380794, 13.637564, 61.498786], [9.975721, 10.056969, 10.243654, 11.115876, 11.156621, 11.338540, 13.445284, 14.979680, 15.152288, 83.757193], [13.255139, 13.786357, 14.982143, 15.428435, 15.779127, 16.011100, 16.165042, 16.671163, 18.139233, 141.386063], [21.669294, 22.560942, 22.745531, 23.019533, 23.392279, 24.035956, 24.682570, 28.832941, 29.075012, 108.218059], [19.084118, 19.629975, 20.045483, 20.094171, 20.404427, 20.660083, 21.833093, 22.017898, 25.352821, 155.079640], [28.562703, 28.813803, 29.109554, 29.419283, 29.880954, 30.426543, 31.732466, 32.652301, 39.748076, 210.682918]]
### 4
fourier: [[14.729987, 14.836051, 14.890473, 14.927042, 16.281162, 16.532280, 16.539576, 18.364083, 21.018569, 162.485696], [5.168864, 5.381949, 5.410976, 5.792657, 5.888840, 6.162112, 6.307814, 6.511411, 7.350568, 114.418609], [18.882940, 18.939253, 19.397925, 19.398243, 20.753748, 21.173878, 21.951354, 23.598574, 27.294219, 193.829568], [7.567639, 7.576602, 7.676537, 7.774937, 8.100839, 8.223992, 8.569617, 10.010132, 11.400273, 27.559506], [3.840814, 3.952082, 4.066454, 4.181304, 4.265640, 4.635513, 5.579294, 5.788274, 7.026061, 27.967194], [2.966158, 3.063216, 3.180954, 3.264537, 3.598143, 3.698889, 3.706172, 4.089079, 4.513435, 21.850748], [14.548982, 14.806694, 14.990956, 15.184900, 15.779673, 15.961914, 16.375823, 18.416968, 19.005253, 145.162796], [34.101765, 34.117635, 35.632673, 36.032178, 36.411761, 36.519170, 39.927382, 40.529896, 49.756126, 186.797309]]
### 6
fourier: [[9.584850, 9.740071, 10.871056, 10.925905, 11.498565, 11.726884, 11.873768, 12.320308, 14.937084, 27.095222], [4.155706, 4.377289, 4.528597, 4.571576, 4.841936, 4.922879, 5.257004, 5.404559, 6.802556, 27.188670], [11.062365, 11.116321, 11.334072, 12.294708, 12.502147, 12.621656, 12.863357, 13.645077, 14.475594, 17.397540], [14.571576, 14.625835, 15.211187, 15.253981, 15.382475, 15.806592, 17.388708, 18.216652, 22.462603, 60.287046], [14.759546, 14.928446, 16.276538, 16.618496, 16.905930, 17.270757, 18.798259, 19.329253, 22.946783, 62.856263], [4.235381, 4.250907, 4.355574, 4.382947, 4.517873, 4.532078, 4.603208, 4.634648, 6.965108, 26.598029], [7.585800, 7.590776, 7.612923, 7.627032, 7.799615, 8.099143, 8.791545, 9.237345, 11.741409, 56.077403], [5.601269, 5.634302, 6.083128, 6.144729, 6.292718, 6.322660, 7.192807, 7.374071, 8.698603, 17.873577]]
### 8
fourier: [[16.711603, 17.574626, 18.675181, 19.229804, 19.389580, 19.778934, 20.394232, 20.759015, 21.085104, 28.108722], [15.318971, 15.511574, 16.812751, 16.843959, 17.024845, 17.248641, 18.754133, 18.902861, 19.902326, 24.528985], [3.794189, 3.835276, 3.839698, 3.931670, 3.946437, 3.979335, 4.104494, 4.151095, 4.375972, 65.075591], [12.930838, 12.976257, 14.126188, 14.262296, 14.312867, 14.444464, 16.520481, 17.160827, 20.821431, 58.859406], [17.669008, 17.973996, 19.776720, 19.831821, 20.078112, 20.447330, 21.914889, 22.989315, 28.461896, 57.513051], [19.474163, 19.602787, 20.019712, 20.383504, 20.759190, 21.010806, 25.402060, 26.015399, 30.328296, 50.883513], [14.365107, 15.438916, 15.534696, 15.890319, 16.384419, 16.941864, 17.320950, 17.614129, 22.998583, 25.917849], [23.346227, 23.654761, 26.233645, 26.253403, 26.431872, 26.754749, 29.322364, 30.194287, 30.573350, 37.716281]]
### 10
fourier: [[25.071161, 25.887121, 26.758967, 27.538695, 28.295111, 29.309397, 29.469754, 30.985072, 31.411964, 40.611131], [13.511574, 13.721546, 13.997455, 14.876876, 15.066520, 15.523105, 15.557465, 16.197158, 16.442674, 20.795181], [16.824170, 17.153650, 17.186876, 17.407890, 19.297655, 19.585579, 20.893346, 21.060206, 25.660742, 37.816511], [17.038893, 17.239621, 18.522110, 18.578522, 18.756476, 19.475397, 20.246035, 21.593634, 27.348059, 39.776225], [13.454305, 13.697915, 14.185115, 14.515336, 14.546482, 14.941308, 17.659853, 18.237979, 21.465431, 23.922338], [18.141202, 18.391801, 18.515731, 18.664964, 20.736729, 20.857352, 22.599951, 22.685413, 27.692371, 70.416556], [19.233844, 19.282005, 20.862700, 21.190873, 21.198698, 21.749947, 23.978855, 25.200522, 31.028840, 46.518958], [15.146060, 15.152518, 15.227401, 15.344930, 17.268327, 17.476174, 18.921819, 19.154769, 22.635791, 63.595562]]
### 12
fourier: [[24.272020, 24.886028, 24.957818, 25.464859, 27.438102, 27.543068, 29.370692, 30.179097, 37.681240, 52.328339]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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}
## Activation Signature
### 0
fourier: [[19.614461, 19.900456, 21.663692, 23.044765, 26.869722, 29.402928, 30.116217, 30.332075, 33.741227, 93.156198], [28.664490, 28.984369, 31.404415, 32.056346, 32.409026, 33.232562, 33.678851, 36.873009, 43.802065, 209.141030], [9.463364, 10.466951, 10.892364, 10.928772, 11.123126, 12.077762, 12.155362, 12.276875, 12.655779, 60.878068], [13.814267, 14.715233, 15.878395, 17.391710, 17.465677, 17.720068, 18.391119, 18.701165, 21.530707, 53.467861], [10.317898, 10.355584, 11.536622, 11.806971, 13.019837, 13.217790, 13.587200, 14.819124, 15.967677, 116.577369], [19.981371, 20.097388, 21.868047, 22.167746, 22.210995, 22.284154, 23.234796, 24.404737, 25.769293, 29.793720], [19.371267, 20.533247, 21.486513, 21.875255, 24.338653, 24.873242, 27.892889, 28.848101, 29.970647, 197.265248], [14.195866, 16.450857, 16.963680, 17.140584, 17.315864, 18.004238, 18.118623, 19.830174, 22.497489, 28.611715]]
### 2
fourier: [[11.157779, 12.181893, 12.284144, 12.743475, 13.169045, 13.834992, 14.053939, 14.409714, 14.579195, 155.601122], [18.338834, 19.217901, 19.633360, 20.634769, 21.741093, 21.911347, 24.988038, 25.724530, 28.231139, 67.159598], [6.713933, 7.855471, 7.927365, 8.508328, 9.025587, 10.248376, 10.514829, 11.380794, 13.637564, 61.498786], [9.975721, 10.056969, 10.243654, 11.115876, 11.156621, 11.338540, 13.445284, 14.979680, 15.152288, 83.757193], [13.255139, 13.786357, 14.982143, 15.428435, 15.779127, 16.011100, 16.165042, 16.671163, 18.139233, 141.386063], [21.669294, 22.560942, 22.745531, 23.019533, 23.392279, 24.035956, 24.682570, 28.832941, 29.075012, 108.218059], [19.084118, 19.629975, 20.045483, 20.094171, 20.404427, 20.660083, 21.833093, 22.017898, 25.352821, 155.079640], [28.562703, 28.813803, 29.109554, 29.419283, 29.880954, 30.426543, 31.732466, 32.652301, 39.748076, 210.682918]]
### 4
fourier: [[14.729987, 14.836051, 14.890473, 14.927042, 16.281162, 16.532280, 16.539576, 18.364083, 21.018569, 162.485696], [5.168864, 5.381949, 5.410976, 5.792657, 5.888840, 6.162112, 6.307814, 6.511411, 7.350568, 114.418609], [18.882940, 18.939253, 19.397925, 19.398243, 20.753748, 21.173878, 21.951354, 23.598574, 27.294219, 193.829568], [7.567639, 7.576602, 7.676537, 7.774937, 8.100839, 8.223992, 8.569617, 10.010132, 11.400273, 27.559506], [3.840814, 3.952082, 4.066454, 4.181304, 4.265640, 4.635513, 5.579294, 5.788274, 7.026061, 27.967194], [2.966158, 3.063216, 3.180954, 3.264537, 3.598143, 3.698889, 3.706172, 4.089079, 4.513435, 21.850748], [14.548982, 14.806694, 14.990956, 15.184900, 15.779673, 15.961914, 16.375823, 18.416968, 19.005253, 145.162796], [34.101765, 34.117635, 35.632673, 36.032178, 36.411761, 36.519170, 39.927382, 40.529896, 49.756126, 186.797309]]
### 6
fourier: [[9.584850, 9.740071, 10.871056, 10.925905, 11.498565, 11.726884, 11.873768, 12.320308, 14.937084, 27.095222], [4.155706, 4.377289, 4.528597, 4.571576, 4.841936, 4.922879, 5.257004, 5.404559, 6.802556, 27.188670], [11.062365, 11.116321, 11.334072, 12.294708, 12.502147, 12.621656, 12.863357, 13.645077, 14.475594, 17.397540], [14.571576, 14.625835, 15.211187, 15.253981, 15.382475, 15.806592, 17.388708, 18.216652, 22.462603, 60.287046], [14.759546, 14.928446, 16.276538, 16.618496, 16.905930, 17.270757, 18.798259, 19.329253, 22.946783, 62.856263], [4.235381, 4.250907, 4.355574, 4.382947, 4.517873, 4.532078, 4.603208, 4.634648, 6.965108, 26.598029], [7.585800, 7.590776, 7.612923, 7.627032, 7.799615, 8.099143, 8.791545, 9.237345, 11.741409, 56.077403], [5.601269, 5.634302, 6.083128, 6.144729, 6.292718, 6.322660, 7.192807, 7.374071, 8.698603, 17.873577]]
### 8
fourier: [[16.711603, 17.574626, 18.675181, 19.229804, 19.389580, 19.778934, 20.394232, 20.759015, 21.085104, 28.108722], [15.318971, 15.511574, 16.812751, 16.843959, 17.024845, 17.248641, 18.754133, 18.902861, 19.902326, 24.528985], [3.794189, 3.835276, 3.839698, 3.931670, 3.946437, 3.979335, 4.104494, 4.151095, 4.375972, 65.075591], [12.930838, 12.976257, 14.126188, 14.262296, 14.312867, 14.444464, 16.520481, 17.160827, 20.821431, 58.859406], [17.669008, 17.973996, 19.776720, 19.831821, 20.078112, 20.447330, 21.914889, 22.989315, 28.461896, 57.513051], [19.474163, 19.602787, 20.019712, 20.383504, 20.759190, 21.010806, 25.402060, 26.015399, 30.328296, 50.883513], [14.365107, 15.438916, 15.534696, 15.890319, 16.384419, 16.941864, 17.320950, 17.614129, 22.998583, 25.917849], [23.346227, 23.654761, 26.233645, 26.253403, 26.431872, 26.754749, 29.322364, 30.194287, 30.573350, 37.716281]]
### 10
fourier: [[25.071161, 25.887121, 26.758967, 27.538695, 28.295111, 29.309397, 29.469754, 30.985072, 31.411964, 40.611131], [13.511574, 13.721546, 13.997455, 14.876876, 15.066520, 15.523105, 15.557465, 16.197158, 16.442674, 20.795181], [16.824170, 17.153650, 17.186876, 17.407890, 19.297655, 19.585579, 20.893346, 21.060206, 25.660742, 37.816511], [17.038893, 17.239621, 18.522110, 18.578522, 18.756476, 19.475397, 20.246035, 21.593634, 27.348059, 39.776225], [13.454305, 13.697915, 14.185115, 14.515336, 14.546482, 14.941308, 17.659853, 18.237979, 21.465431, 23.922338], [18.141202, 18.391801, 18.515731, 18.664964, 20.736729, 20.857352, 22.599951, 22.685413, 27.692371, 70.416556], [19.233844, 19.282005, 20.862700, 21.190873, 21.198698, 21.749947, 23.978855, 25.200522, 31.028840, 46.518958], [15.146060, 15.152518, 15.227401, 15.344930, 17.268327, 17.476174, 18.921819, 19.154769, 22.635791, 63.595562]]
### 12
fourier: [[24.272020, 24.886028, 24.957818, 25.464859, 27.438102, 27.543068, 29.370692, 30.179097, 37.681240, 52.328339]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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19.154769057937447, 22.635791365026005, 63.59556204080582]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [24.27201973083057, 24.886028386461227, 24.957817969083237, 25.464858777575262, 27.43810217268229, 27.54306813704473, 29.370691526540078, 30.17909657175986, 37.68123991079644, 52.32833901792765]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_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"}}
|
{"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": [[0.378358, 0.070111, 0.146805, -0.291518, 0.590755], [0.250176, 0.52206, 0.38746, 0.504537, -0.585623], [-0.211128, 0.180473, 0.193619, -0.249046, -0.175818], [-0.099696, 0.208191, 0.310075, 0.186851, -0.500311], [-0.178344, -0.070616, -0.212327, -0.216006, 0.019727], [-0.468187, -0.185508, -0.091529, 0.326153, 0.557503], [-0.451176, 0.243482, 0.580828, 0.437488, -0.296646], [0.058254, -0.449831, 0.438749, 0.053244, -0.439303]], "network.0.bias": [0.026354, -0.107892, -0.396088, -0.092571, -0.062278, -0.028352, 0.524029, -0.059578], "network.2.weight": [[0.022019, -0.337916, -0.069824, 0.005536, 0.218173, -0.070225, -0.115152, -0.290391], [-0.543293, 0.249621, -0.21615, -0.108863, -0.238607, -0.250045, 0.422018, 0.018899], [0.158658, -0.004, -0.425, -0.298865, -0.193274, 0.331107, 0.187304, -0.25023], [-0.3056, -0.284927, 0.009537, -0.011783, 0.323132, 0.090212, 0.14585, -0.466358], [-0.088409, -0.372442, -0.003281, -0.330493, 0.223161, -0.165728, 0.003708, -0.395591], [-0.456008, 0.448935, -0.262373, 0.224835, -0.182612, -0.351108, 0.098583, 0.189902], [0.002703, 0.48351, -0.369816, 0.449711, 0.022791, -0.078018, -0.023976, 0.520609], [-0.306762, 0.445779, 0.065663, 0.60585, -0.319517, 0.213909, 0.458988, 0.044637]], "network.2.bias": [-0.596461, 0.048336, 0.129317, -0.161279, -0.168805, 0.433964, 0.247331, 0.035524], "network.4.weight": [[0.547006, 0.08865, 0.208774, 0.536601, 0.358581, -0.127277, -0.220424, -0.362727], [-0.052713, -0.186338, -0.20868, 0.259317, 0.625023, -0.171, 0.016246, -0.032085], [-0.043357, -0.090464, 0.124166, 0.263159, 0.288109, -0.268772, -0.253352, -0.319221], [-0.338008, -0.287145, -0.066747, -0.36086, 0.060921, -0.231543, 0.21671, -0.114762], [-0.550507, 0.097836, 0.357313, 0.165009, -0.226374, -0.368566, 0.132701, 0.07762], [-0.209451, 0.518953, 0.223237, -0.532746, -0.482182, -0.444497, 0.106425, -0.00246], [0.060081, -0.041495, -0.213261, 0.3269, 0.521693, -0.101024, -0.35601, -0.247442], [0.2964, 0.629215, -0.375758, -0.392608, 0.099476, 0.578691, 0.375552, 0.263466]], "network.4.bias": [-0.47818, -0.624626, -0.550966, 0.162057, 0.060397, -0.053523, -0.053689, -0.340476], "network.6.weight": [[-0.390779, -0.584317, -0.388387, 0.141264, 0.601186, 0.150972, -0.133655, -0.232278], [-0.364385, 0.072351, -0.20771, 0.578425, 0.178012, 0.255704, -0.277586, -0.083272], [-0.541218, -0.039542, -0.178985, 0.022596, 0.152185, 0.260191, -0.391011, -0.325312], [0.372662, -0.201088, 0.251022, -0.307588, -0.056074, -0.01235, -0.292808, 0.443907], [-0.227033, -0.360489, 0.597165, 0.114122, -0.377387, -0.091339, -0.345486, 0.465992], [-0.260606, 0.051769, -0.616452, 0.353706, 0.040206, -0.321417, -0.387764, -0.086005], [0.06931, 0.286877, 0.171725, -0.266268, 0.033235, 0.022074, 0.211215, 0.216625], [0.317648, -0.004528, 0.014972, 0.164056, -0.163854, 0.086009, -0.051821, 0.169204]], "network.6.bias": [0.506447, 0.352346, 0.607831, -0.292409, -0.268338, 0.44207, 0.204599, -0.124031], "network.8.weight": [[0.399768, 0.433972, 0.539757, -0.337625, -0.35863, 0.547396, -0.054659, -0.175623], [-0.029781, -0.167348, -0.47052, 0.245463, 0.447479, -0.147381, 0.343885, 0.175834], [-0.388165, -0.505297, -0.238345, 0.173178, -0.183333, -0.184725, -0.185832, -0.372742], [-0.305641, 0.316589, -0.126103, 0.238316, 0.396701, -0.390878, 0.183472, 0.253347], [-0.473088, 0.009214, -0.233918, 0.213539, 0.660979, -0.182611, 0.322019, -0.006981], [-0.038225, 0.078608, 0.259479, -0.569777, -0.494987, 0.141639, -0.163818, -0.598073], [0.462751, 0.448702, 0.529501, -0.56518, -0.102031, 0.177649, 0.197466, -0.109173], [0.585981, 0.21382, 0.204699, -0.66886, -0.489413, 0.23967, -0.239126, -0.363579]], "network.8.bias": [0.172057, -0.303808, -0.179163, 0.205645, 0.099368, 0.302599, 0.226393, 0.330216], "network.10.weight": [[-0.473868, 0.406092, 0.144683, 0.301602, 0.424131, -0.219914, -0.597207, -0.336567], [0.457476, -0.592578, -0.036978, -0.085184, 0.040064, 0.360071, -0.056678, 0.325199], [0.552168, 0.22384, -0.208635, -0.445729, -0.316311, 0.519535, 0.209803, 0.193632], [0.468037, 0.085598, -0.182767, -0.565241, -0.509816, 0.296916, -0.011906, -0.142412], [0.06924, -0.615804, 0.194947, -0.030798, -0.266361, 0.190339, 0.048022, 0.091588], [0.141399, -0.299, -0.417112, -0.089203, -0.233448, 0.31521, 0.539502, 0.539035], [-0.181021, 0.108692, -0.36734, 0.56962, 0.531235, -0.476518, -0.034899, -0.017829], [-0.294895, 0.228581, 0.096466, 0.02463, 0.165886, -0.062985, -0.520677, -0.407714]], "network.10.bias": [0.179362, 0.00812, 0.188571, 0.024837, 0.148009, 0.388741, -0.167134, -0.276453], "network.12.weight": [[0.287932, -0.321594, -0.245044, -0.196019, -0.267632, -0.586013, 0.298231, 0.302421]], "network.12.bias": [-0.112111]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6923274099826813, "train_acc": 0.445, "val_loss": 0.723362147808075, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6682972013950348, "train_acc": 0.595, "val_loss": 0.732616126537323, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6433772444725037, "train_acc": 0.595, "val_loss": 0.5898511409759521, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4863038510084152, "train_acc": 0.72, "val_loss": 1.2205069065093994, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6385262161493301, "train_acc": 0.66, "val_loss": 0.4374118447303772, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5162294656038284, "train_acc": 0.785, "val_loss": 0.40354302525520325, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.46257486939430237, "train_acc": 0.785, "val_loss": 0.44967415928840637, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.436700701713562, "train_acc": 0.82, "val_loss": 0.48475924134254456, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4359917938709259, "train_acc": 0.85, "val_loss": 0.5091284513473511, "val_acc": 0.84}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.723362147808075, "final_val_loss": 0.5898511409759521, "initial_val_acc": 0.38, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 1.2205069065093994, "final_val_loss": 0.5091284513473511, "initial_val_acc": 0.4, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
240
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6822, "learning_rate": 0.07006467662378152, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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[
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[
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[
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[
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[
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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
fourier: [[18.716577, 20.004334, 20.614375, 21.142030, 21.271870, 21.356502, 22.576449, 23.681975, 25.566046, 45.297911], [19.501963, 19.621614, 20.745864, 21.147661, 22.242111, 25.265772, 30.149724, 34.152535, 38.504809, 163.970150], [17.544097, 17.836087, 18.579803, 18.643256, 19.111562, 19.512923, 20.048501, 21.250503, 23.332268, 114.570308], [18.270632, 19.699040, 19.855871, 20.544882, 21.119150, 21.516802, 22.895302, 23.078373, 29.248886, 44.922788], [15.140355, 15.468575, 16.845225, 16.969713, 17.315449, 17.802776, 20.309151, 23.845970, 25.289211, 85.707536], [13.316368, 13.462382, 13.708987, 15.371157, 15.534725, 16.344266, 17.373048, 18.456534, 18.519691, 53.850930], [22.595919, 24.707117, 25.386252, 25.542168, 28.649139, 29.553862, 33.568796, 37.197003, 39.697820, 142.805566]]
### 2
fourier: [[20.411501, 22.827441, 23.173841, 23.597326, 25.171128, 27.438424, 32.815614, 34.446325, 35.329638, 37.806290], [28.827283, 29.184807, 29.876613, 36.314927, 38.116069, 38.425386, 39.426851, 46.231617, 51.934176, 194.087002], [16.914758, 17.461681, 18.187607, 18.707608, 19.866144, 23.873595, 25.970884, 28.584884, 32.056241, 33.408112], [17.143382, 17.617297, 18.000048, 19.473002, 19.988666, 21.549646, 22.082203, 26.779748, 27.611387, 155.751841], [10.682373, 10.806030, 11.739903, 11.807466, 13.489142, 15.266482, 16.354529, 17.261809, 19.407239, 57.654800], [9.106050, 9.194275, 9.680120, 10.113492, 10.324705, 10.561658, 10.777290, 11.062449, 11.975823, 44.174459], [7.968609, 8.388484, 8.444367, 8.664002, 9.542681, 10.899156, 11.816056, 12.109565, 12.354831, 32.321044]]
### 4
fourier: [[10.538999, 11.408908, 11.957007, 12.121563, 12.211792, 12.319123, 12.460063, 15.309877, 18.560323, 118.353395], [23.672902, 24.676124, 25.545132, 25.730579, 27.920363, 28.491017, 29.220427, 36.024166, 36.913724, 49.963047], [4.260958, 4.313670, 4.920537, 5.332644, 5.614110, 6.244100, 6.638124, 7.758677, 7.957625, 62.713416], [17.762832, 17.985573, 18.312059, 20.271309, 23.280055, 24.795244, 25.884036, 30.501784, 33.503368, 171.301258], [3.847992, 3.917684, 4.066320, 4.193851, 4.421454, 4.658429, 4.982790, 6.489279, 6.505082, 59.121805], [19.280001, 21.557826, 21.886457, 25.336261, 25.854214, 25.915112, 26.934093, 28.486527, 34.745542, 161.775514], [28.804760, 29.797398, 30.412751, 30.615184, 37.927095, 38.723129, 42.178784, 49.681981, 53.477401, 306.292993]]
### 6
fourier: [[24.343754, 26.340997, 28.728687, 29.203678, 29.582387, 31.235541, 31.752882, 33.322830, 41.280862, 178.749355], [15.580644, 17.328619, 18.085649, 19.309508, 19.998782, 20.140519, 21.247587, 21.280922, 27.113225, 110.043941], [14.325332, 14.446515, 15.225120, 16.200325, 17.034765, 17.310931, 18.141374, 19.751083, 22.704297, 82.358370], [4.670318, 4.846588, 4.860795, 5.110038, 5.722189, 6.420498, 6.817462, 8.265910, 8.629850, 76.676909], [4.778484, 5.555378, 5.562703, 5.576412, 5.819772, 6.254436, 7.084544, 7.121264, 8.307903, 51.994773], [3.261336, 3.276399, 3.378876, 3.475305, 3.477453, 3.916763, 4.131430, 5.202360, 5.371914, 78.202772], [5.710115, 5.847427, 6.121251, 6.248877, 7.157498, 8.089909, 8.827274, 9.411404, 10.959398, 103.893986]]
### 8
fourier: [[26.925775, 28.498431, 29.594947, 31.629150, 32.799897, 34.233262, 34.649838, 35.058427, 45.936034, 202.929419]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.175093,
0.428175,
0.072863,
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0.319707,
0.308625
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[
0.167831,
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0.317488,
0.548906,
-0.505953
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[
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0.261401,
0.536155,
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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.4.weight": [
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"network.6.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[18.716577, 20.004334, 20.614375, 21.142030, 21.271870, 21.356502, 22.576449, 23.681975, 25.566046, 45.297911], [19.501963, 19.621614, 20.745864, 21.147661, 22.242111, 25.265772, 30.149724, 34.152535, 38.504809, 163.970150], [17.544097, 17.836087, 18.579803, 18.643256, 19.111562, 19.512923, 20.048501, 21.250503, 23.332268, 114.570308], [18.270632, 19.699040, 19.855871, 20.544882, 21.119150, 21.516802, 22.895302, 23.078373, 29.248886, 44.922788], [15.140355, 15.468575, 16.845225, 16.969713, 17.315449, 17.802776, 20.309151, 23.845970, 25.289211, 85.707536], [13.316368, 13.462382, 13.708987, 15.371157, 15.534725, 16.344266, 17.373048, 18.456534, 18.519691, 53.850930], [22.595919, 24.707117, 25.386252, 25.542168, 28.649139, 29.553862, 33.568796, 37.197003, 39.697820, 142.805566]]
### 2
fourier: [[20.411501, 22.827441, 23.173841, 23.597326, 25.171128, 27.438424, 32.815614, 34.446325, 35.329638, 37.806290], [28.827283, 29.184807, 29.876613, 36.314927, 38.116069, 38.425386, 39.426851, 46.231617, 51.934176, 194.087002], [16.914758, 17.461681, 18.187607, 18.707608, 19.866144, 23.873595, 25.970884, 28.584884, 32.056241, 33.408112], [17.143382, 17.617297, 18.000048, 19.473002, 19.988666, 21.549646, 22.082203, 26.779748, 27.611387, 155.751841], [10.682373, 10.806030, 11.739903, 11.807466, 13.489142, 15.266482, 16.354529, 17.261809, 19.407239, 57.654800], [9.106050, 9.194275, 9.680120, 10.113492, 10.324705, 10.561658, 10.777290, 11.062449, 11.975823, 44.174459], [7.968609, 8.388484, 8.444367, 8.664002, 9.542681, 10.899156, 11.816056, 12.109565, 12.354831, 32.321044]]
### 4
fourier: [[10.538999, 11.408908, 11.957007, 12.121563, 12.211792, 12.319123, 12.460063, 15.309877, 18.560323, 118.353395], [23.672902, 24.676124, 25.545132, 25.730579, 27.920363, 28.491017, 29.220427, 36.024166, 36.913724, 49.963047], [4.260958, 4.313670, 4.920537, 5.332644, 5.614110, 6.244100, 6.638124, 7.758677, 7.957625, 62.713416], [17.762832, 17.985573, 18.312059, 20.271309, 23.280055, 24.795244, 25.884036, 30.501784, 33.503368, 171.301258], [3.847992, 3.917684, 4.066320, 4.193851, 4.421454, 4.658429, 4.982790, 6.489279, 6.505082, 59.121805], [19.280001, 21.557826, 21.886457, 25.336261, 25.854214, 25.915112, 26.934093, 28.486527, 34.745542, 161.775514], [28.804760, 29.797398, 30.412751, 30.615184, 37.927095, 38.723129, 42.178784, 49.681981, 53.477401, 306.292993]]
### 6
fourier: [[24.343754, 26.340997, 28.728687, 29.203678, 29.582387, 31.235541, 31.752882, 33.322830, 41.280862, 178.749355], [15.580644, 17.328619, 18.085649, 19.309508, 19.998782, 20.140519, 21.247587, 21.280922, 27.113225, 110.043941], [14.325332, 14.446515, 15.225120, 16.200325, 17.034765, 17.310931, 18.141374, 19.751083, 22.704297, 82.358370], [4.670318, 4.846588, 4.860795, 5.110038, 5.722189, 6.420498, 6.817462, 8.265910, 8.629850, 76.676909], [4.778484, 5.555378, 5.562703, 5.576412, 5.819772, 6.254436, 7.084544, 7.121264, 8.307903, 51.994773], [3.261336, 3.276399, 3.378876, 3.475305, 3.477453, 3.916763, 4.131430, 5.202360, 5.371914, 78.202772], [5.710115, 5.847427, 6.121251, 6.248877, 7.157498, 8.089909, 8.827274, 9.411404, 10.959398, 103.893986]]
### 8
fourier: [[26.925775, 28.498431, 29.594947, 31.629150, 32.799897, 34.233262, 34.649838, 35.058427, 45.936034, 202.929419]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 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": [[0.175093, 0.428175, 0.072863, -0.354718, -0.543638], [0.705899, -0.331657, 0.056688, 0.319707, 0.308625], [0.167831, -0.161811, 0.317488, 0.548906, -0.505953], [-0.354912, 0.261401, 0.536155, -0.065553, -0.50368], [-0.162454, -0.297145, -0.089796, -0.26775, 0.488436], [-0.158644, -0.200139, -0.084518, 0.357147, 0.324865], [0.628528, 0.159238, 0.154698, 0.026526, 0.43903]], "network.0.bias": [-0.222477, 0.363143, 0.142717, 0.106293, -0.049333, 0.170465, -0.407108], "network.2.weight": [[-0.330347, -0.377026, 0.464481, 0.787387, -0.483157, -0.594451, -0.065133], [-0.060106, 0.69501, 0.24701, -0.573415, 0.56413, 0.291938, 0.479402], [-0.350178, -0.473221, 0.3422, 0.377723, -0.289972, -0.483412, -0.102512], [0.209099, 0.370868, 0.329796, -0.098969, 0.208728, 0.478364, 0.237141], [0.180337, -0.478897, -0.060065, 0.226905, -0.253468, 0.034862, 0.020423], [0.40735, -0.002473, -0.459856, 0.132173, 0.352853, -0.068107, -0.113068], [0.205661, -0.146398, -0.077635, 0.547752, 0.135892, 0.000819, 0.160352]], "network.2.bias": [0.582543, -0.067808, 0.426609, -0.182831, 0.054932, 0.071697, -0.076876], "network.4.weight": [[-0.258203, -0.228196, -0.092553, -0.326041, -0.141236, 0.253281, -0.13345], [0.674046, -0.323891, 0.629563, -0.039344, 0.186345, -0.152604, 0.204017], [-0.230479, 0.117612, -0.057626, -0.034461, 0.171291, 0.527533, 0.320291], [-0.056155, -0.588205, 0.033444, -0.161705, 0.078556, -0.063241, -0.027549], [0.20891, 0.002822, -0.127533, -0.200541, -0.394335, -0.329159, -0.166822], [-0.017704, 0.399289, -0.479749, 0.352115, -0.239883, 0.024522, -0.151201], [0.057333, -0.702175, -0.043232, -0.673321, -0.06126, -0.010298, -0.186017]], "network.4.bias": [0.098107, 0.391756, 0.542621, -0.247918, -0.330635, 0.574478, -0.599404], "network.6.weight": [[0.028547, -0.409117, 0.544447, 0.095668, -0.263122, 0.841958, -0.26906], [0.241253, -0.221457, 0.064863, 0.125047, -0.007935, 0.649874, 0.177705], [-0.271747, -0.336421, 0.370396, 0.097693, 0.104062, 0.374621, -0.082428], [0.310292, -0.133371, -0.097984, 0.033152, 0.031396, -0.309083, -0.008093], [0.177486, -0.049699, -0.255961, 0.14511, 0.301398, 0.27358, -0.336494], [-0.350852, -0.129972, -0.068753, -0.12011, -0.33087, -0.21001, 0.168668], [-0.219026, -0.081601, -0.235651, 0.221988, 0.291498, -0.317926, -0.163418]], "network.6.bias": [0.465549, 0.201505, 0.305026, -0.078636, 0.30128, -0.302249, -0.321037], "network.8.weight": [[-0.691424, -0.391731, -0.347216, -0.348341, -0.378163, 0.086627, 0.103042]], "network.8.bias": [0.289013]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951322853565216, "train_acc": 0.48, "val_loss": 0.674701452255249, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6732220649719238, "train_acc": 0.56, "val_loss": 0.604901134967804, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6214552521705627, "train_acc": 0.585, "val_loss": 0.5005087852478027, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.507405698299408, "train_acc": 0.68, "val_loss": 0.4041278064250946, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4539571702480316, "train_acc": 0.87, "val_loss": 0.3759608566761017, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4327336847782135, "train_acc": 0.835, "val_loss": 0.4554969072341919, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4658370018005371, "train_acc": 0.79, "val_loss": 0.35348501801490784, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4399537742137909, "train_acc": 0.795, "val_loss": 0.3298586905002594, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.37113118171691895, "train_acc": 0.855, "val_loss": 0.3639163076877594, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3966367244720459, "train_acc": 0.835, "val_loss": 0.27284276485443115, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3347252756357193, "train_acc": 0.86, "val_loss": 0.26124656200408936, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.330694317817688, "train_acc": 0.86, "val_loss": 0.24107448756694794, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.674701452255249, "final_val_loss": 0.604901134967804, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5005087852478027, "final_val_loss": 0.24107448756694794, "initial_val_acc": 0.66, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 3}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
241
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8782, "learning_rate": 0.05437467598137663, "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: 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.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[24.387788, 28.306452, 28.425413, 32.838358, 38.018181, 38.671959, 42.951649, 42.979557, 49.173762, 156.195473], [21.231499, 21.771855, 22.671780, 23.346682, 24.292948, 24.782952, 24.941069, 25.361731, 27.171356, 31.016704], [16.740972, 18.426233, 18.513524, 18.768743, 19.886217, 20.406122, 21.335176, 23.482724, 31.548042, 133.470835], [20.224228, 20.642752, 20.819505, 21.112514, 22.912667, 24.060348, 24.193270, 25.408187, 27.199304, 120.512049], [21.672188, 21.899562, 21.959590, 22.605271, 22.682264, 24.494571, 27.011006, 27.761350, 27.841015, 104.996535], [12.184612, 12.193833, 13.223589, 13.946248, 14.150031, 14.588269, 16.845375, 17.202069, 20.027251, 59.799366], [13.416533, 13.848364, 14.130337, 14.824621, 14.995358, 15.316242, 15.772216, 18.214127, 18.345850, 139.727023], [28.466137, 29.564658, 29.820580, 31.403197, 32.568123, 32.730912, 32.747304, 33.032890, 33.427261, 43.396806]]
### 2
fourier: [[7.509425, 7.835961, 8.660198, 8.814356, 9.186023, 9.210980, 9.909148, 9.981006, 10.013164, 11.420029], [15.243156, 16.394254, 16.860606, 18.834444, 19.754251, 21.299607, 22.388627, 23.090366, 23.883267, 96.176882], [28.118887, 28.871243, 29.515112, 31.502596, 31.505511, 32.697972, 38.212540, 39.292029, 39.781401, 193.421708], [10.378401, 10.469899, 10.482066, 10.522082, 12.645513, 13.086648, 13.493512, 13.618802, 15.487846, 22.103482], [14.934534, 14.988496, 15.069257, 15.505987, 15.938512, 16.101319, 19.504542, 20.413289, 22.089434, 62.883429], [21.724460, 21.912095, 23.828742, 28.432738, 30.393738, 31.361252, 32.219567, 37.611827, 42.470838, 85.817001], [29.100674, 33.203353, 34.172528, 38.082411, 39.403522, 40.170320, 40.873301, 42.860221, 43.088520, 138.591988], [30.137798, 30.189240, 31.987912, 32.054871, 36.813522, 38.426062, 38.929781, 39.201698, 43.480700, 65.786244]]
### 4
fourier: [[26.546541, 26.716785, 29.796186, 33.778037, 37.270194, 37.489475, 37.578581, 39.007213, 41.810728, 96.362957], [13.458978, 13.529553, 15.439718, 16.697132, 18.069126, 18.522607, 19.486806, 21.499535, 22.391504, 23.055913], [39.302713, 48.712265, 55.987765, 59.559308, 61.259541, 62.954046, 63.152956, 65.505010, 66.358526, 273.185982], [28.076328, 34.812031, 38.060224, 40.904579, 43.098162, 44.710587, 45.450801, 46.436466, 48.369001, 165.644959], [46.812068, 56.063527, 64.820890, 66.584019, 67.363937, 67.857086, 70.747570, 73.240505, 73.689713, 297.079410], [28.690286, 29.407854, 29.616382, 33.315681, 33.878567, 35.408324, 38.709512, 39.355585, 40.340171, 105.711864], [34.522887, 39.461874, 41.376487, 44.385757, 48.001426, 49.431197, 55.060168, 55.158766, 62.011855, 243.763018], [8.215525, 8.613224, 11.019765, 11.560965, 11.615732, 11.674311, 12.014796, 13.408376, 13.650502, 34.561600]]
### 6
fourier: [[47.273317, 56.915441, 66.844530, 70.664604, 70.812953, 72.659781, 74.013769, 78.773674, 79.381945, 296.633420], [64.265936, 77.101926, 91.172543, 94.115604, 97.046524, 101.443377, 102.730353, 104.660576, 106.323456, 357.127993], [60.494798, 75.032195, 88.973898, 92.454520, 94.690607, 96.407440, 99.626993, 100.505636, 103.148705, 357.729472], [73.102230, 89.694727, 107.144875, 109.286333, 110.013922, 113.869808, 120.729011, 120.738034, 123.344993, 517.003785], [48.014199, 58.445879, 64.857737, 71.549661, 72.656197, 72.779746, 76.825839, 78.836983, 79.373362, 281.948028], [62.936129, 73.584541, 88.331182, 90.576189, 93.687117, 97.861108, 98.890291, 103.891408, 105.689231, 421.402471], [64.145586, 78.371116, 93.386604, 95.119809, 96.151992, 100.441342, 102.733304, 103.559353, 106.337837, 415.831940], [46.725818, 57.064058, 64.632332, 69.523705, 70.043569, 70.154775, 72.543327, 76.788645, 77.731481, 289.703223]]
### 8
fourier: [[86.039377, 101.310031, 121.465640, 122.463313, 128.910380, 135.462303, 136.645406, 140.882868, 141.074258, 514.656323]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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
fourier: [[24.387788, 28.306452, 28.425413, 32.838358, 38.018181, 38.671959, 42.951649, 42.979557, 49.173762, 156.195473], [21.231499, 21.771855, 22.671780, 23.346682, 24.292948, 24.782952, 24.941069, 25.361731, 27.171356, 31.016704], [16.740972, 18.426233, 18.513524, 18.768743, 19.886217, 20.406122, 21.335176, 23.482724, 31.548042, 133.470835], [20.224228, 20.642752, 20.819505, 21.112514, 22.912667, 24.060348, 24.193270, 25.408187, 27.199304, 120.512049], [21.672188, 21.899562, 21.959590, 22.605271, 22.682264, 24.494571, 27.011006, 27.761350, 27.841015, 104.996535], [12.184612, 12.193833, 13.223589, 13.946248, 14.150031, 14.588269, 16.845375, 17.202069, 20.027251, 59.799366], [13.416533, 13.848364, 14.130337, 14.824621, 14.995358, 15.316242, 15.772216, 18.214127, 18.345850, 139.727023], [28.466137, 29.564658, 29.820580, 31.403197, 32.568123, 32.730912, 32.747304, 33.032890, 33.427261, 43.396806]]
### 2
fourier: [[7.509425, 7.835961, 8.660198, 8.814356, 9.186023, 9.210980, 9.909148, 9.981006, 10.013164, 11.420029], [15.243156, 16.394254, 16.860606, 18.834444, 19.754251, 21.299607, 22.388627, 23.090366, 23.883267, 96.176882], [28.118887, 28.871243, 29.515112, 31.502596, 31.505511, 32.697972, 38.212540, 39.292029, 39.781401, 193.421708], [10.378401, 10.469899, 10.482066, 10.522082, 12.645513, 13.086648, 13.493512, 13.618802, 15.487846, 22.103482], [14.934534, 14.988496, 15.069257, 15.505987, 15.938512, 16.101319, 19.504542, 20.413289, 22.089434, 62.883429], [21.724460, 21.912095, 23.828742, 28.432738, 30.393738, 31.361252, 32.219567, 37.611827, 42.470838, 85.817001], [29.100674, 33.203353, 34.172528, 38.082411, 39.403522, 40.170320, 40.873301, 42.860221, 43.088520, 138.591988], [30.137798, 30.189240, 31.987912, 32.054871, 36.813522, 38.426062, 38.929781, 39.201698, 43.480700, 65.786244]]
### 4
fourier: [[26.546541, 26.716785, 29.796186, 33.778037, 37.270194, 37.489475, 37.578581, 39.007213, 41.810728, 96.362957], [13.458978, 13.529553, 15.439718, 16.697132, 18.069126, 18.522607, 19.486806, 21.499535, 22.391504, 23.055913], [39.302713, 48.712265, 55.987765, 59.559308, 61.259541, 62.954046, 63.152956, 65.505010, 66.358526, 273.185982], [28.076328, 34.812031, 38.060224, 40.904579, 43.098162, 44.710587, 45.450801, 46.436466, 48.369001, 165.644959], [46.812068, 56.063527, 64.820890, 66.584019, 67.363937, 67.857086, 70.747570, 73.240505, 73.689713, 297.079410], [28.690286, 29.407854, 29.616382, 33.315681, 33.878567, 35.408324, 38.709512, 39.355585, 40.340171, 105.711864], [34.522887, 39.461874, 41.376487, 44.385757, 48.001426, 49.431197, 55.060168, 55.158766, 62.011855, 243.763018], [8.215525, 8.613224, 11.019765, 11.560965, 11.615732, 11.674311, 12.014796, 13.408376, 13.650502, 34.561600]]
### 6
fourier: [[47.273317, 56.915441, 66.844530, 70.664604, 70.812953, 72.659781, 74.013769, 78.773674, 79.381945, 296.633420], [64.265936, 77.101926, 91.172543, 94.115604, 97.046524, 101.443377, 102.730353, 104.660576, 106.323456, 357.127993], [60.494798, 75.032195, 88.973898, 92.454520, 94.690607, 96.407440, 99.626993, 100.505636, 103.148705, 357.729472], [73.102230, 89.694727, 107.144875, 109.286333, 110.013922, 113.869808, 120.729011, 120.738034, 123.344993, 517.003785], [48.014199, 58.445879, 64.857737, 71.549661, 72.656197, 72.779746, 76.825839, 78.836983, 79.373362, 281.948028], [62.936129, 73.584541, 88.331182, 90.576189, 93.687117, 97.861108, 98.890291, 103.891408, 105.689231, 421.402471], [64.145586, 78.371116, 93.386604, 95.119809, 96.151992, 100.441342, 102.733304, 103.559353, 106.337837, 415.831940], [46.725818, 57.064058, 64.632332, 69.523705, 70.043569, 70.154775, 72.543327, 76.788645, 77.731481, 289.703223]]
### 8
fourier: [[86.039377, 101.310031, 121.465640, 122.463313, 128.910380, 135.462303, 136.645406, 140.882868, 141.074258, 514.656323]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.535474, 0.12684, -0.291768, 0.135418, -0.823978], [0.279615, 0.654578, 0.028177, -0.550649, 0.264604], [-0.216168, 0.474099, 0.57103, -0.156316, 0.031697], [-0.516295, -0.223236, 0.33182, 0.452828, 0.214901], [-0.079294, -0.4739, -0.06432, 0.55739, 0.509072], [-0.000804, -0.126339, -0.049014, 0.226769, 0.45158], [-0.124129, 0.127422, -0.292473, -0.389758, -0.061376], [-0.750241, -0.372318, -0.014027, 0.506856, 0.612743]], "network.0.bias": [0.035046, -0.469752, -0.008596, 0.459065, 0.440065, -0.045202, -0.107786, -0.288096], "network.2.weight": [[0.186844, 0.215237, -0.005958, -0.454797, 0.259055, 0.147817, 0.339399, 0.049233], [-0.031268, 0.718325, -0.238826, 0.130361, 0.058117, 0.465971, 0.229763, 0.393293], [-0.380557, 0.694428, 0.196082, 0.001426, 0.518865, 0.360273, -0.056846, 0.824053], [-0.058502, 0.48086, -0.173153, -0.14881, -0.502224, 0.257282, 0.024903, 0.159688], [0.060433, -0.524963, 0.316517, 0.576868, -0.090729, -0.172132, -0.413861, -0.575523], [-0.186603, 0.023829, -0.456953, 0.260599, 0.236067, 0.109356, 0.255779, 0.873333], [-0.016169, -0.012731, -0.348711, 0.357917, 0.714071, 0.67908, 0.00016, 0.309582], [0.007726, 0.594003, 0.213189, -0.573084, -0.846358, -0.230101, 0.290234, 0.005853]], "network.2.bias": [0.104907, 0.073403, -0.093648, 0.233282, 0.378898, 0.285361, -0.01327, 0.586291], "network.4.weight": [[-0.195468, -0.465878, -0.014, -0.179274, 0.42077, -0.616765, -0.155826, -0.774629], [0.305716, 0.303188, -0.181751, 0.460947, -0.095022, 0.509452, 0.121788, -0.093522], [0.4876, 0.224384, 0.551019, 0.439367, -0.372838, 0.619484, 0.490061, 0.688327], [-0.307143, 0.081801, 0.385417, 0.382715, -0.482088, 0.437674, 0.380218, 0.444964], [0.457319, 0.321119, 0.706111, 0.22498, -0.578398, 0.247434, 0.732569, 0.45033], [-0.411218, -0.210689, 0.187067, -0.222398, 0.762557, -0.281914, -0.623856, -0.813974], [0.595682, 0.43064, 0.722131, 0.420453, -0.224103, 0.33409, 0.09268, 0.739895], [-0.148624, 0.142423, 0.000732, 0.34445, -0.177352, 0.158853, -0.207601, 0.387972]], "network.4.bias": [0.462927, -0.627544, -0.007102, -0.01518, 0.125293, -0.10829, -0.0764, -0.423457], "network.6.weight": [[0.129122, -0.766478, -0.558308, 0.09945, -0.235239, 0.050766, -0.293295, -0.397998], [0.528623, -0.320784, -0.552411, -0.105446, -0.616703, 0.450638, -0.197843, -0.727645], [0.153903, -0.179558, -0.296058, -0.608317, -0.343207, 0.554205, -0.478063, -0.100087], [-0.546235, -0.063463, 0.25669, 0.67302, 0.634608, -0.080949, 0.530599, 0.165553], [0.383895, -0.675067, -0.353154, -0.495852, -0.322258, -0.092067, 0.051814, -0.708946], [-0.440596, 0.029326, 0.459435, 0.557632, 0.213833, -0.503159, 0.522621, 0.385825], [-0.296461, -0.059779, 0.377133, 0.350469, 0.601316, -0.487127, 0.377826, 0.013668], [0.120074, -0.51599, -0.536156, -0.159043, -0.311013, -0.07899, -0.056581, -0.401186]], "network.6.bias": [0.050039, 0.467395, 0.468875, 0.227149, 0.028811, 0.243727, -0.084417, 0.117592], "network.8.weight": [[0.243856, 0.623318, 0.506566, -0.333174, 0.258324, -0.342297, -0.573634, 0.142384]], "network.8.bias": [0.218326]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.68962362408638, "train_acc": 0.465, "val_loss": 0.6504271030426025, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6474851369857788, "train_acc": 0.565, "val_loss": 0.5244864821434021, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5596307218074799, "train_acc": 0.59, "val_loss": 0.34295323491096497, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3353264629840851, "train_acc": 0.9, "val_loss": 0.21580089628696442, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.24052860587835312, "train_acc": 0.89, "val_loss": 0.17182140052318573, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5268870294094086, "train_acc": 0.87, "val_loss": 0.358535498380661, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.33333759009838104, "train_acc": 0.9, "val_loss": 0.5332644581794739, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.41850097477436066, "train_acc": 0.825, "val_loss": 0.5137971639633179, "val_acc": 0.8}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6504271030426025, "final_val_loss": 0.5244864821434021, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.34295323491096497, "final_val_loss": 0.5137971639633179, "initial_val_acc": 0.86, "final_val_acc": 0.8, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
242
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.66, "improved_accuracy": 0.86, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7905, "learning_rate": 0.03996062461335746, "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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## Activation Signature
### 0
fourier: [[24.572238, 25.355251, 28.301420, 28.331359, 28.376556, 28.680334, 32.471291, 33.594260, 35.617021, 249.552610], [17.459367, 18.217394, 18.728723, 19.894747, 20.933889, 21.714658, 23.219426, 30.621971, 30.880354, 206.836817], [1.959828, 2.008560, 2.087699, 2.119984, 2.138557, 2.318380, 2.403726, 2.596401, 2.620661, 57.529458], [24.396503, 24.699212, 26.734525, 26.816075, 26.888883, 29.350672, 30.316324, 39.781964, 41.398901, 222.515767], [14.445982, 15.327829, 16.714709, 17.067089, 17.719970, 17.944696, 18.053492, 19.750860, 22.361176, 32.941966], [12.857693, 14.320069, 14.644814, 15.152018, 15.206748, 15.612586, 19.917879, 22.382234, 27.772392, 29.718559], [20.288132, 20.486697, 20.884096, 21.616092, 23.780133, 23.829549, 23.881002, 26.786806, 26.830295, 28.458073], [18.310409, 18.414870, 19.478664, 20.578163, 22.747687, 24.022529, 24.146380, 26.283481, 36.509886, 124.224097]]
### 2
fourier: [[18.419846, 18.494490, 18.577446, 21.282956, 25.001152, 25.064240, 27.473648, 28.260859, 30.973866, 198.502135], [5.303721, 5.558613, 5.650051, 6.127628, 6.454957, 6.816933, 7.495382, 8.160525, 8.425411, 45.903874], [8.925200, 9.946843, 11.119154, 12.213498, 13.159249, 13.508861, 15.682449, 15.784947, 18.994265, 66.405482], [19.196749, 19.460155, 20.501265, 23.934724, 24.607459, 27.067013, 29.971232, 33.685736, 36.021806, 153.724910], [10.906463, 10.944771, 11.180841, 11.281878, 12.257993, 12.917813, 13.274489, 14.965198, 18.688246, 57.570299], [5.323992, 5.387464, 5.508066, 5.531283, 5.568132, 5.975988, 6.283590, 6.585843, 7.052271, 36.927891], [7.959428, 8.180069, 8.437787, 8.498854, 8.998888, 9.208612, 9.393866, 13.302265, 13.728192, 55.815381], [9.598111, 10.270275, 10.885030, 10.887211, 11.861740, 12.584241, 12.985135, 14.485335, 15.099538, 93.261041]]
### 4
fourier: [[6.524317, 6.798473, 6.880693, 7.011537, 7.197227, 8.261046, 8.274798, 9.048665, 9.403587, 59.468873], [6.997127, 7.192444, 7.264493, 7.989276, 9.468830, 9.563791, 9.987868, 10.239127, 13.124021, 43.147043], [4.104229, 4.418829, 4.691014, 4.725301, 5.590542, 5.770106, 6.707042, 7.912119, 8.375230, 69.514417], [2.983416, 3.139785, 3.645715, 3.669956, 3.680033, 3.702384, 4.542548, 4.927261, 5.105382, 56.289793], [6.483662, 6.587477, 6.734635, 8.221198, 8.251846, 8.567890, 8.878274, 10.691916, 11.264433, 37.044182], [19.945129, 22.676014, 23.465336, 25.471676, 27.232203, 28.226236, 33.816699, 34.334236, 39.216829, 176.474763], [6.929961, 7.458589, 7.680284, 8.046696, 8.500977, 8.618898, 9.813886, 9.995159, 11.304575, 30.049531], [8.682743, 8.740914, 9.111891, 9.668853, 9.786573, 10.235807, 10.469116, 12.965949, 13.159561, 71.578059]]
### 6
fourier: [[9.931948, 10.623544, 10.903389, 11.212087, 12.009303, 12.574027, 14.365379, 16.566725, 19.036112, 41.838455], [0.675472, 0.715210, 0.723128, 0.750962, 0.783253, 0.791877, 0.796762, 0.857635, 0.929863, 30.671205], [13.701603, 13.752906, 13.761452, 15.766258, 16.259429, 18.009292, 20.225862, 21.126791, 24.783629, 68.407482], [2.952422, 3.013829, 3.312134, 3.334028, 3.442756, 3.610829, 4.080837, 4.256976, 4.425372, 27.570260], [11.691157, 11.869254, 12.103028, 13.605280, 14.519516, 16.293206, 16.811914, 19.189619, 22.166116, 51.018624], [10.111639, 11.134295, 11.478910, 11.763483, 12.133656, 12.416682, 13.444917, 14.871507, 18.159559, 20.126788], [7.190421, 7.328236, 7.802198, 8.005095, 9.112371, 9.228411, 10.330335, 11.771216, 11.779264, 13.820993], [8.443399, 8.482357, 8.531090, 9.379329, 10.372112, 10.444754, 12.598909, 13.541166, 14.997111, 63.935602]]
### 8
fourier: [[14.948684, 15.953328, 15.975021, 16.615464, 16.692133, 17.598667, 19.109667, 22.728176, 28.348015, 30.699010]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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}
## Activation Signature
### 0
fourier: [[24.572238, 25.355251, 28.301420, 28.331359, 28.376556, 28.680334, 32.471291, 33.594260, 35.617021, 249.552610], [17.459367, 18.217394, 18.728723, 19.894747, 20.933889, 21.714658, 23.219426, 30.621971, 30.880354, 206.836817], [1.959828, 2.008560, 2.087699, 2.119984, 2.138557, 2.318380, 2.403726, 2.596401, 2.620661, 57.529458], [24.396503, 24.699212, 26.734525, 26.816075, 26.888883, 29.350672, 30.316324, 39.781964, 41.398901, 222.515767], [14.445982, 15.327829, 16.714709, 17.067089, 17.719970, 17.944696, 18.053492, 19.750860, 22.361176, 32.941966], [12.857693, 14.320069, 14.644814, 15.152018, 15.206748, 15.612586, 19.917879, 22.382234, 27.772392, 29.718559], [20.288132, 20.486697, 20.884096, 21.616092, 23.780133, 23.829549, 23.881002, 26.786806, 26.830295, 28.458073], [18.310409, 18.414870, 19.478664, 20.578163, 22.747687, 24.022529, 24.146380, 26.283481, 36.509886, 124.224097]]
### 2
fourier: [[18.419846, 18.494490, 18.577446, 21.282956, 25.001152, 25.064240, 27.473648, 28.260859, 30.973866, 198.502135], [5.303721, 5.558613, 5.650051, 6.127628, 6.454957, 6.816933, 7.495382, 8.160525, 8.425411, 45.903874], [8.925200, 9.946843, 11.119154, 12.213498, 13.159249, 13.508861, 15.682449, 15.784947, 18.994265, 66.405482], [19.196749, 19.460155, 20.501265, 23.934724, 24.607459, 27.067013, 29.971232, 33.685736, 36.021806, 153.724910], [10.906463, 10.944771, 11.180841, 11.281878, 12.257993, 12.917813, 13.274489, 14.965198, 18.688246, 57.570299], [5.323992, 5.387464, 5.508066, 5.531283, 5.568132, 5.975988, 6.283590, 6.585843, 7.052271, 36.927891], [7.959428, 8.180069, 8.437787, 8.498854, 8.998888, 9.208612, 9.393866, 13.302265, 13.728192, 55.815381], [9.598111, 10.270275, 10.885030, 10.887211, 11.861740, 12.584241, 12.985135, 14.485335, 15.099538, 93.261041]]
### 4
fourier: [[6.524317, 6.798473, 6.880693, 7.011537, 7.197227, 8.261046, 8.274798, 9.048665, 9.403587, 59.468873], [6.997127, 7.192444, 7.264493, 7.989276, 9.468830, 9.563791, 9.987868, 10.239127, 13.124021, 43.147043], [4.104229, 4.418829, 4.691014, 4.725301, 5.590542, 5.770106, 6.707042, 7.912119, 8.375230, 69.514417], [2.983416, 3.139785, 3.645715, 3.669956, 3.680033, 3.702384, 4.542548, 4.927261, 5.105382, 56.289793], [6.483662, 6.587477, 6.734635, 8.221198, 8.251846, 8.567890, 8.878274, 10.691916, 11.264433, 37.044182], [19.945129, 22.676014, 23.465336, 25.471676, 27.232203, 28.226236, 33.816699, 34.334236, 39.216829, 176.474763], [6.929961, 7.458589, 7.680284, 8.046696, 8.500977, 8.618898, 9.813886, 9.995159, 11.304575, 30.049531], [8.682743, 8.740914, 9.111891, 9.668853, 9.786573, 10.235807, 10.469116, 12.965949, 13.159561, 71.578059]]
### 6
fourier: [[9.931948, 10.623544, 10.903389, 11.212087, 12.009303, 12.574027, 14.365379, 16.566725, 19.036112, 41.838455], [0.675472, 0.715210, 0.723128, 0.750962, 0.783253, 0.791877, 0.796762, 0.857635, 0.929863, 30.671205], [13.701603, 13.752906, 13.761452, 15.766258, 16.259429, 18.009292, 20.225862, 21.126791, 24.783629, 68.407482], [2.952422, 3.013829, 3.312134, 3.334028, 3.442756, 3.610829, 4.080837, 4.256976, 4.425372, 27.570260], [11.691157, 11.869254, 12.103028, 13.605280, 14.519516, 16.293206, 16.811914, 19.189619, 22.166116, 51.018624], [10.111639, 11.134295, 11.478910, 11.763483, 12.133656, 12.416682, 13.444917, 14.871507, 18.159559, 20.126788], [7.190421, 7.328236, 7.802198, 8.005095, 9.112371, 9.228411, 10.330335, 11.771216, 11.779264, 13.820993], [8.443399, 8.482357, 8.531090, 9.379329, 10.372112, 10.444754, 12.598909, 13.541166, 14.997111, 63.935602]]
### 8
fourier: [[14.948684, 15.953328, 15.975021, 16.615464, 16.692133, 17.598667, 19.109667, 22.728176, 28.348015, 30.699010]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 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": [[-0.116595, 0.360209, 0.481708, 0.559799, 0.260171], [-0.290778, -0.427153, 0.105668, -0.325357, -0.267738], [0.061649, 0.01804, -0.012259, 0.02707, 0.001149], [0.437661, 0.608172, -0.104834, 0.333031, 0.348063], [-0.120276, 0.23508, 0.287406, -0.530322, 0.053638], [-0.191327, -0.151041, 0.383962, -0.288065, 0.317751], [0.541118, -0.622312, -0.385175, 0.383246, 0.345169], [0.018231, 0.499765, -0.705624, -0.373939, 0.067334]], "network.0.bias": [-0.266047, -0.350773, 0.495763, -0.10493, -0.173979, 0.267325, 0.06198, -0.120821], "network.2.weight": [[0.268998, -0.325933, -0.425129, 0.552952, -0.271952, 0.323678, 0.190864, 0.030764], [-0.132499, -0.198472, 0.627222, -0.125007, 3e-06, -0.004892, -0.039988, 0.079307], [0.131732, 0.624486, -0.102161, 0.331189, -0.135871, 0.043469, -0.384426, -0.234994], [0.4912, 0.362491, 0.024565, 0.42955, -0.340912, -0.161805, -0.149399, -0.45785], [-0.078477, -0.11773, -0.423609, -0.088962, -0.627543, -0.450537, 0.605732, -0.470823], [-0.174436, -0.47519, 0.21894, 0.078117, 0.316476, 0.139222, 0.144659, 0.863126], [-0.09942, -0.168377, -0.324525, -0.225208, -0.168448, -0.026018, 0.044393, 0.211713], [0.365532, 0.013963, 0.282987, 0.006618, -0.345349, -0.216716, -0.140794, -0.400775]], "network.2.bias": [0.072795, -0.123245, -0.126695, -0.452738, 0.004305, 0.34332, 0.370041, 0.139234], "network.4.weight": [[0.363837, -0.481297, -0.295591, -0.279797, 0.717134, 0.133966, -0.504826, -0.119302], [-0.049411, 0.297408, 0.331641, 0.278132, -0.174197, -0.18974, 0.203522, -0.133424], [-0.420369, -0.106436, 0.056203, 0.154099, 0.29679, -0.149193, -0.042926, 0.122738], [-0.114475, -0.464727, 0.335412, -0.110156, 0.378783, 0.340548, -0.708087, 0.413048], [0.02794, -0.311987, -0.322935, -0.211387, -0.229946, -0.197764, -0.087628, -0.03452], [0.319115, 0.159689, 0.194137, 0.568382, -0.580911, -0.210139, 0.593964, 0.316712], [0.135979, -0.03559, -0.114438, -0.150388, 0.354264, 0.432063, -0.299247, -0.345938], [-0.221247, -0.17679, -0.273083, -0.21737, 0.092871, -0.123203, 0.027373, 0.335104]], "network.4.bias": [0.537028, 0.118499, -0.247743, 0.233245, 0.163148, 0.003238, 0.534524, -0.052264], "network.6.weight": [[0.465404, -0.18553, -0.291757, 0.214616, -0.342977, -0.277033, 0.512674, -0.222182], [-0.024942, -0.066358, -0.108451, 0.189151, -0.017032, 0.000793, 0.115453, -0.338987], [-0.090351, 0.381161, 0.1573, -0.125555, 0.59082, 0.524875, 0.017082, 0.386612], [0.116266, -0.577009, -0.617451, 0.603685, -0.323819, 0.058926, 0.156201, -0.403294], [-0.209141, 0.169417, 0.064057, -0.085369, 0.558898, 0.452837, -0.229222, 0.143672], [0.560376, 0.009712, -0.145503, 0.648471, -0.675917, -0.447486, 0.211824, -0.589659], [0.326001, -0.268932, -0.093156, 0.215665, -0.292574, -0.197107, 0.217765, -0.056845], [0.085692, -0.010733, 0.303876, -0.389847, 0.584436, 0.460508, 0.082383, 0.536301]], "network.6.bias": [0.456602, 0.200453, -0.190685, -0.128705, -0.076088, -0.110797, -0.036996, 0.085106], "network.8.weight": [[0.579791, 0.079097, -0.383834, 0.170678, -0.316438, 0.616082, 0.209197, -0.271269]], "network.8.bias": [0.124644]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6868078112602234, "train_acc": 0.56, "val_loss": 0.6626186966896057, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6496424376964569, "train_acc": 0.56, "val_loss": 0.6176380515098572, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6170670092105865, "train_acc": 0.625, "val_loss": 0.5717302560806274, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5247392356395721, "train_acc": 0.745, "val_loss": 0.6261110901832581, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.482729971408844, "train_acc": 0.79, "val_loss": 0.47855427861213684, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4680955410003662, "train_acc": 0.775, "val_loss": 0.4735269248485565, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.38492751121520996, "train_acc": 0.82, "val_loss": 0.4254121482372284, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.35526615381240845, "train_acc": 0.83, "val_loss": 0.3679978847503662, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3591989278793335, "train_acc": 0.81, "val_loss": 0.369629830121994, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3629080355167389, "train_acc": 0.825, "val_loss": 0.3409421443939209, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4131223112344742, "train_acc": 0.83, "val_loss": 0.3277934193611145, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.32049690186977386, "train_acc": 0.845, "val_loss": 0.3156013488769531, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6626186966896057, "final_val_loss": 0.6176380515098572, "initial_val_acc": 0.56, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.5717302560806274, "final_val_loss": 0.3156013488769531, "initial_val_acc": 0.6, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 7}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
243
|
{"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": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9176, "learning_rate": 0.030853518801848757, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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}
## Activation Signature
### 0
fourier: [[22.161870, 22.295695, 23.778119, 25.670596, 28.475072, 30.062021, 30.493782, 32.284976, 36.114945, 198.202031], [27.831871, 29.901119, 30.183105, 32.495688, 33.706436, 34.696868, 34.709474, 36.737248, 44.918818, 233.113294], [15.687773, 16.714889, 16.752871, 17.004733, 17.204010, 19.253362, 21.186333, 22.257694, 24.992304, 129.826437], [20.687518, 23.546843, 26.431554, 26.740106, 28.718046, 32.350109, 33.900700, 35.298885, 35.594212, 72.790076], [20.745008, 21.816217, 22.314361, 25.348707, 25.625574, 26.953073, 26.981438, 29.270656, 31.273783, 210.941103], [31.534367, 32.699836, 32.982605, 33.849339, 34.629387, 36.971807, 37.568477, 40.060302, 41.467730, 212.938013], [10.310176, 10.437541, 11.259656, 11.516001, 12.380554, 12.445132, 14.179038, 17.783463, 18.323390, 37.104429]]
### 2
fourier: [[8.641916, 9.053967, 9.210125, 9.243815, 9.509061, 11.005140, 11.436273, 12.346776, 12.485739, 130.855113], [10.406151, 10.952992, 11.163979, 11.173855, 11.612289, 12.363848, 12.850013, 15.558074, 21.663100, 34.255224], [23.583925, 25.275512, 25.297304, 25.439030, 26.356269, 28.106758, 29.240631, 29.361901, 31.199612, 128.770182], [10.220029, 11.554190, 11.724665, 12.012087, 12.061993, 12.233889, 13.514099, 14.142167, 16.668162, 48.292907], [7.743436, 7.839663, 8.022419, 8.151591, 9.375857, 9.630764, 9.753381, 11.907529, 14.585097, 29.392085], [21.167567, 21.206836, 23.715150, 23.807044, 26.014673, 27.981769, 28.132886, 28.864392, 30.117722, 36.509993], [11.341963, 11.661520, 12.817536, 12.908070, 12.951507, 13.300261, 13.950555, 15.763580, 15.794926, 133.706025]]
### 4
fourier: [[11.742774, 11.912376, 12.072626, 12.165862, 12.420138, 13.744840, 16.130128, 16.546284, 18.171165, 39.667284], [1.955011, 2.113899, 2.131994, 2.200756, 2.382858, 2.487388, 2.781380, 2.902510, 3.726484, 26.639152], [18.653096, 18.779230, 19.164045, 19.500841, 20.110198, 20.283971, 20.647155, 21.106875, 22.210418, 110.224049], [3.524337, 3.657797, 3.683537, 3.888570, 3.981305, 4.102227, 4.626873, 5.056957, 5.360977, 12.600010], [6.901288, 7.128955, 7.218675, 7.230280, 7.282767, 7.374125, 7.387751, 8.446175, 9.084252, 78.272457], [17.012279, 17.879323, 17.996365, 18.179268, 20.068280, 21.304580, 22.447131, 23.078375, 23.582617, 106.199884], [18.556023, 18.661310, 19.054878, 19.897153, 19.969963, 20.170225, 20.190633, 20.855014, 24.010057, 112.320840]]
### 6
fourier: [[7.048795, 7.170020, 7.493690, 7.637087, 7.778523, 7.942156, 8.558105, 8.823216, 9.416176, 53.896856], [23.143484, 23.589132, 23.802880, 23.938110, 26.402788, 27.785411, 27.864093, 28.874978, 29.467410, 138.269264], [3.211977, 3.272887, 3.346207, 3.537487, 3.775879, 3.832471, 4.628432, 4.723786, 4.740057, 23.235779], [28.742984, 29.110647, 30.169995, 30.224086, 32.680327, 33.147310, 33.297399, 35.663077, 36.037480, 159.628511], [7.752963, 7.948934, 8.351031, 8.533803, 9.126622, 9.415309, 9.596469, 9.865752, 10.297856, 30.577380], [3.351165, 3.488556, 3.561901, 3.656711, 3.660127, 3.726040, 3.748177, 3.810973, 4.115675, 67.757528], [6.750479, 7.299706, 7.444945, 7.990307, 8.064952, 8.161462, 8.231063, 8.489307, 8.951222, 40.903978]]
### 8
fourier: [[25.034977, 25.407806, 26.838200, 28.598561, 29.231612, 29.660586, 30.405621, 30.462528, 31.863502, 85.491299]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[22.161870, 22.295695, 23.778119, 25.670596, 28.475072, 30.062021, 30.493782, 32.284976, 36.114945, 198.202031], [27.831871, 29.901119, 30.183105, 32.495688, 33.706436, 34.696868, 34.709474, 36.737248, 44.918818, 233.113294], [15.687773, 16.714889, 16.752871, 17.004733, 17.204010, 19.253362, 21.186333, 22.257694, 24.992304, 129.826437], [20.687518, 23.546843, 26.431554, 26.740106, 28.718046, 32.350109, 33.900700, 35.298885, 35.594212, 72.790076], [20.745008, 21.816217, 22.314361, 25.348707, 25.625574, 26.953073, 26.981438, 29.270656, 31.273783, 210.941103], [31.534367, 32.699836, 32.982605, 33.849339, 34.629387, 36.971807, 37.568477, 40.060302, 41.467730, 212.938013], [10.310176, 10.437541, 11.259656, 11.516001, 12.380554, 12.445132, 14.179038, 17.783463, 18.323390, 37.104429]]
### 2
fourier: [[8.641916, 9.053967, 9.210125, 9.243815, 9.509061, 11.005140, 11.436273, 12.346776, 12.485739, 130.855113], [10.406151, 10.952992, 11.163979, 11.173855, 11.612289, 12.363848, 12.850013, 15.558074, 21.663100, 34.255224], [23.583925, 25.275512, 25.297304, 25.439030, 26.356269, 28.106758, 29.240631, 29.361901, 31.199612, 128.770182], [10.220029, 11.554190, 11.724665, 12.012087, 12.061993, 12.233889, 13.514099, 14.142167, 16.668162, 48.292907], [7.743436, 7.839663, 8.022419, 8.151591, 9.375857, 9.630764, 9.753381, 11.907529, 14.585097, 29.392085], [21.167567, 21.206836, 23.715150, 23.807044, 26.014673, 27.981769, 28.132886, 28.864392, 30.117722, 36.509993], [11.341963, 11.661520, 12.817536, 12.908070, 12.951507, 13.300261, 13.950555, 15.763580, 15.794926, 133.706025]]
### 4
fourier: [[11.742774, 11.912376, 12.072626, 12.165862, 12.420138, 13.744840, 16.130128, 16.546284, 18.171165, 39.667284], [1.955011, 2.113899, 2.131994, 2.200756, 2.382858, 2.487388, 2.781380, 2.902510, 3.726484, 26.639152], [18.653096, 18.779230, 19.164045, 19.500841, 20.110198, 20.283971, 20.647155, 21.106875, 22.210418, 110.224049], [3.524337, 3.657797, 3.683537, 3.888570, 3.981305, 4.102227, 4.626873, 5.056957, 5.360977, 12.600010], [6.901288, 7.128955, 7.218675, 7.230280, 7.282767, 7.374125, 7.387751, 8.446175, 9.084252, 78.272457], [17.012279, 17.879323, 17.996365, 18.179268, 20.068280, 21.304580, 22.447131, 23.078375, 23.582617, 106.199884], [18.556023, 18.661310, 19.054878, 19.897153, 19.969963, 20.170225, 20.190633, 20.855014, 24.010057, 112.320840]]
### 6
fourier: [[7.048795, 7.170020, 7.493690, 7.637087, 7.778523, 7.942156, 8.558105, 8.823216, 9.416176, 53.896856], [23.143484, 23.589132, 23.802880, 23.938110, 26.402788, 27.785411, 27.864093, 28.874978, 29.467410, 138.269264], [3.211977, 3.272887, 3.346207, 3.537487, 3.775879, 3.832471, 4.628432, 4.723786, 4.740057, 23.235779], [28.742984, 29.110647, 30.169995, 30.224086, 32.680327, 33.147310, 33.297399, 35.663077, 36.037480, 159.628511], [7.752963, 7.948934, 8.351031, 8.533803, 9.126622, 9.415309, 9.596469, 9.865752, 10.297856, 30.577380], [3.351165, 3.488556, 3.561901, 3.656711, 3.660127, 3.726040, 3.748177, 3.810973, 4.115675, 67.757528], [6.750479, 7.299706, 7.444945, 7.990307, 8.064952, 8.161462, 8.231063, 8.489307, 8.951222, 40.903978]]
### 8
fourier: [[25.034977, 25.407806, 26.838200, 28.598561, 29.231612, 29.660586, 30.405621, 30.462528, 31.863502, 85.491299]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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3.6835368716277994, 3.8885702455198174, 3.981305453994322, 4.102226670574512, 4.6268734328740555, 5.05695656530181, 5.360976841341495, 12.600010484457016]}, "4": {"fourier": [6.901287958722404, 7.128954987561028, 7.2186746213647375, 7.230280120945731, 7.282766957384192, 7.374125334897409, 7.387750880190933, 8.446174766854178, 9.084252282590857, 78.27245655655861]}, "5": {"fourier": [17.012278735095773, 17.879322989474943, 17.99636463129178, 18.179268197693855, 20.068280002815275, 21.304580409806253, 22.44713068739765, 23.078374600102073, 23.582617460554978, 106.1998838186264]}, "6": {"fourier": [18.556023366341222, 18.661309903111437, 19.054878031120605, 19.89715321928291, 19.96996312219119, 20.170225307440102, 20.19063255814218, 20.855013993950074, 24.01005740792123, 112.32084046304226]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [7.048795130278101, 7.170020377222183, 7.49368956300865, 7.637086929081853, 7.778522743287798, 7.942156104958252, 8.558105207722658, 8.823215782733394, 9.416176021930939, 53.89685592055321]}, "1": {"fourier": [23.143484030401126, 23.589132001887815, 23.802879917305393, 23.938110301591873, 26.402788225050294, 27.785411238930806, 27.864092799703617, 28.87497846384087, 29.467410275961747, 138.26926378905773]}, "2": {"fourier": [3.211976999657687, 3.2728872727822385, 3.346206683952922, 3.537486788727284, 3.775879410906558, 3.8324711818421346, 4.628431929872443, 4.723786313881007, 4.740056844830289, 23.235779494047165]}, "3": {"fourier": [28.74298390571303, 29.110646911866123, 30.16999450055063, 30.224086497113888, 32.68032724501394, 33.14731025834471, 33.297399106739846, 35.66307719671789, 36.03747957023885, 159.6285106651485]}, "4": {"fourier": [7.752963470155321, 7.9489335407725275, 8.351031349621307, 8.533803173678843, 9.126621855121773, 9.415308648852186, 9.596468856431885, 9.865751904353573, 10.297855680432166, 30.577379822731018]}, "5": {"fourier": [3.3511649606984384, 3.488555969691397, 3.561900794316619, 3.6567114641447267, 3.6601267481111517, 3.7260398450798498, 3.7481766431260986, 3.810973479975978, 4.115674754928347, 67.75752782821655]}, "6": {"fourier": [6.750478586177562, 7.299706269747871, 7.444944907376246, 7.9903069058035845, 8.064952077461646, 8.161462247104613, 8.231062887619405, 8.489306803153257, 8.95122200049761, 40.90397838503122]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [25.034976829120456, 25.407805946404405, 26.83820028816172, 28.598560668798193, 29.231612110396938, 29.660585807841567, 30.405620818062765, 30.462527607395057, 31.863502431548376, 85.4912991374731]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.446376, -0.450585, -0.149358, -0.007969, -0.416554], [0.43872, 0.494934, 0.277503, 0.513102, -0.384344], [0.441418, -0.045745, 0.299618, 0.218709, -0.355669], [0.431119, -0.253106, 0.51438, -0.223895, 0.327666], [0.082326, 0.375433, 0.454241, 0.394167, -0.067477], [-0.185933, -0.555059, 0.481022, 0.754975, 0.669025], [-0.254556, -0.264344, 0.286453, 0.098609, 0.101899]], "network.0.bias": [0.01714, -0.063659, 0.320334, -0.264983, -0.153688, 0.159868, 0.275238], "network.2.weight": [[-0.046421, -0.078874, -0.272019, -0.133456, -0.051831, -0.015128, -0.280473], [-0.10521, -0.287916, -0.173422, 0.344937, 0.092168, 0.1018, 0.241401], [0.185978, -0.04718, -0.334059, -0.342945, 0.154239, 0.649836, 0.633215], [0.268159, -0.299153, -0.394399, 0.230168, 0.153075, -0.056496, 0.227626], [0.393952, 0.007109, -0.333399, -0.281695, 0.126346, 0.126082, -0.102532], [-0.002618, -0.340523, 0.127505, 0.085135, -0.474839, 0.623255, 0.363403], [-0.194085, -0.181776, 0.020004, -0.088038, -0.048295, -0.334141, 0.303017]], "network.2.bias": [-0.366924, -0.364457, 0.076578, 0.220562, 0.565585, -0.267867, -0.182575], "network.4.weight": [[0.116606, 0.475756, 0.198671, 0.283927, -0.062541, 0.493755, 0.375788], [-0.300597, -0.145556, -0.03435, -0.243966, 0.138704, -0.025246, 0.198732], [-0.349982, 0.423946, 0.584327, 0.072819, 0.247476, 0.272924, 0.150264], [0.276035, 0.067419, 0.002059, -0.172766, -0.262319, -0.243066, 0.105801], [0.118282, 0.039993, -0.197318, -0.144202, -0.138371, -0.19481, 0.156324], [0.178896, 0.363693, 0.326185, 0.349583, 0.600502, 0.671165, 0.221172], [0.201189, 0.194964, 0.630976, 0.253738, 0.405031, 0.212867, 0.307294]], "network.4.bias": [-0.254906, 0.358954, -0.077436, 0.402041, -0.371885, -0.11725, -0.143579], "network.6.weight": [[0.384673, 0.217398, -0.268556, 0.23245, -0.037415, 0.071828, -0.379483], [0.266074, 0.212619, 0.570941, -0.13483, -0.203503, 0.527691, 0.059852], [-0.142478, -0.042684, 0.102101, 0.089867, -0.099794, -0.227251, 0.035211], [0.306648, -0.066843, 0.325937, -0.587691, -0.064842, 0.446224, 0.616822], [0.158248, 0.559013, -0.12491, 0.502272, 0.312707, -0.354732, 0.009024], [0.193686, 0.075176, -0.437555, -0.262006, -0.171998, -0.095851, 0.218718], [-0.316007, -0.022882, -0.339597, 0.202151, -0.27801, 0.213641, -0.066721]], "network.6.bias": [-0.189564, -0.053972, 0.429283, 0.034019, 0.549397, -0.447105, -0.073034], "network.8.weight": [[-0.154264, -0.35743, 0.40162, -0.486528, 0.668738, -0.017993, -0.029654]], "network.8.bias": [0.046704]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6803795099258423, "train_acc": 0.575, "val_loss": 0.7145364284515381, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6764961779117584, "train_acc": 0.575, "val_loss": 0.6931102275848389, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6456738412380219, "train_acc": 0.575, "val_loss": 0.6353136897087097, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6122171878814697, "train_acc": 0.56, "val_loss": 0.5214788913726807, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5014115869998932, "train_acc": 0.795, "val_loss": 0.4899550676345825, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.45703254640102386, "train_acc": 0.805, "val_loss": 0.35953548550605774, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.40010249614715576, "train_acc": 0.845, "val_loss": 0.30292728543281555, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.32131150364875793, "train_acc": 0.875, "val_loss": 0.26890599727630615, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.28618137538433075, "train_acc": 0.9, "val_loss": 0.2342865765094757, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2529390901327133, "train_acc": 0.935, "val_loss": 0.2086748480796814, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.1983017548918724, "train_acc": 0.945, "val_loss": 0.20141834020614624, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.198951818048954, "train_acc": 0.945, "val_loss": 0.204162135720253, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.1795901134610176, "train_acc": 0.945, "val_loss": 0.21276350319385529, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7145364284515381, "final_val_loss": 0.6353136897087097, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5214788913726807, "final_val_loss": 0.21276350319385529, "initial_val_acc": 0.82, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.49999999999999994, "first_improvement_epoch": 2}}
|
244
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.64, "improved_accuracy": 0.82, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4214, "learning_rate": 0.05403572644863404, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.392582,
-0.542111,
0.22834,
0.024211
],
[
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0.000342
],
[
-0.225354,
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0.09562,
0.17652
],
[
0.648842,
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0.348047,
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],
[
-0.665897,
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0.021323
],
[
0.416776,
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-1.239062,
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],
[
-0.527406,
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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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0.042391
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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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[
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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": [
-0.541465
]
}
## Activation Signature
### 0
fourier: [[16.223530, 17.653950, 18.126587, 19.594633, 20.260897, 23.212624, 23.704236, 23.877151, 25.367099, 26.529881], [11.321176, 11.823888, 12.058144, 12.863566, 13.303042, 13.702088, 14.308527, 15.141680, 16.766126, 73.995065], [11.769978, 11.796474, 11.883472, 12.325820, 13.628664, 13.835732, 15.642087, 16.327312, 16.801734, 34.056963], [35.591917, 38.562537, 38.692416, 40.142735, 40.152574, 42.725443, 47.061553, 47.587357, 49.440731, 100.757128], [15.487697, 16.624535, 17.337321, 17.420156, 18.000420, 20.019987, 20.076633, 20.985355, 24.490616, 25.840278], [30.944199, 31.533085, 31.740907, 31.794653, 34.100091, 35.205529, 35.618961, 36.911897, 44.800811, 104.824994], [12.681582, 13.252521, 13.472776, 13.576631, 16.549848, 16.810269, 17.205458, 20.602904, 21.267067, 75.422577]]
### 2
fourier: [[8.958989, 9.112067, 9.126238, 9.206300, 9.234999, 9.385684, 9.600877, 11.176444, 17.275005, 19.481255], [16.381121, 16.634079, 17.472082, 18.895013, 19.126747, 19.670355, 19.927959, 21.934473, 25.841857, 50.595874], [15.144466, 16.165062, 16.335327, 17.996851, 18.398999, 19.705445, 22.242667, 24.823079, 27.023485, 43.137077], [14.112172, 14.342616, 14.966736, 15.020465, 15.928439, 18.011537, 20.246980, 24.970186, 26.984608, 42.176566], [13.388392, 13.783937, 14.311126, 15.360025, 16.050200, 16.234005, 16.627867, 17.118599, 25.614949, 86.915022], [8.283646, 8.466254, 8.729571, 9.332069, 9.435618, 9.523067, 9.735101, 10.990249, 12.046000, 62.707160], [7.352171, 7.367250, 7.701660, 7.729217, 7.906499, 7.910054, 9.210847, 9.268772, 9.859765, 74.923578]]
### 4
fourier: [[12.914107, 13.202925, 13.385758, 13.593321, 14.256464, 14.807656, 16.004939, 16.009849, 26.397844, 71.722630], [10.251061, 10.285534, 10.592893, 10.999241, 12.147080, 13.350333, 13.713406, 14.100176, 20.049652, 121.031142], [16.103771, 16.183667, 16.379468, 18.789378, 19.156007, 19.666377, 20.745254, 22.397521, 28.943442, 76.832741], [7.730737, 7.867678, 8.019156, 8.315026, 8.903312, 9.498950, 10.886366, 11.443725, 12.383201, 37.161375], [11.636093, 12.038821, 12.961323, 13.726537, 14.194173, 15.880412, 16.245816, 16.799324, 22.679263, 152.724226], [11.393173, 12.065762, 12.118367, 12.363741, 13.844804, 14.039475, 14.097804, 17.346521, 18.592648, 100.849320], [8.933628, 9.000149, 9.154547, 10.130958, 10.689440, 12.759137, 13.209707, 14.732207, 15.035940, 161.201771]]
### 6
fourier: [[13.398586, 13.515921, 13.784973, 15.285285, 15.995089, 16.006156, 16.328712, 19.001255, 21.294826, 26.761570], [15.773419, 15.805880, 16.083834, 16.693333, 17.376693, 17.593976, 18.591419, 19.767679, 21.503531, 31.903953], [8.237332, 8.329194, 8.765891, 8.926729, 9.462189, 10.741501, 11.191318, 12.095866, 15.538124, 48.249141], [23.676801, 23.920621, 24.763091, 27.133172, 28.333777, 30.493295, 33.667394, 37.556852, 39.305248, 172.541427], [2.090593, 2.134239, 2.166830, 2.213492, 2.649222, 2.701896, 2.906200, 2.906204, 3.249116, 63.008419], [8.178935, 8.387547, 8.633586, 8.874126, 9.100218, 11.407464, 12.075697, 12.807472, 13.053462, 85.212614], [6.813998, 7.311693, 7.769016, 7.850063, 8.163872, 8.497169, 9.028547, 10.903909, 10.926270, 91.539831]]
### 8
fourier: [[26.621466, 27.230299, 29.618876, 29.685082, 30.669827, 31.522620, 36.386282, 37.323117, 50.071772, 181.253522]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.09562,
0.17652
],
[
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0.348047,
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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.2.bias": [
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"network.6.weight": [
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"network.8.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[16.223530, 17.653950, 18.126587, 19.594633, 20.260897, 23.212624, 23.704236, 23.877151, 25.367099, 26.529881], [11.321176, 11.823888, 12.058144, 12.863566, 13.303042, 13.702088, 14.308527, 15.141680, 16.766126, 73.995065], [11.769978, 11.796474, 11.883472, 12.325820, 13.628664, 13.835732, 15.642087, 16.327312, 16.801734, 34.056963], [35.591917, 38.562537, 38.692416, 40.142735, 40.152574, 42.725443, 47.061553, 47.587357, 49.440731, 100.757128], [15.487697, 16.624535, 17.337321, 17.420156, 18.000420, 20.019987, 20.076633, 20.985355, 24.490616, 25.840278], [30.944199, 31.533085, 31.740907, 31.794653, 34.100091, 35.205529, 35.618961, 36.911897, 44.800811, 104.824994], [12.681582, 13.252521, 13.472776, 13.576631, 16.549848, 16.810269, 17.205458, 20.602904, 21.267067, 75.422577]]
### 2
fourier: [[8.958989, 9.112067, 9.126238, 9.206300, 9.234999, 9.385684, 9.600877, 11.176444, 17.275005, 19.481255], [16.381121, 16.634079, 17.472082, 18.895013, 19.126747, 19.670355, 19.927959, 21.934473, 25.841857, 50.595874], [15.144466, 16.165062, 16.335327, 17.996851, 18.398999, 19.705445, 22.242667, 24.823079, 27.023485, 43.137077], [14.112172, 14.342616, 14.966736, 15.020465, 15.928439, 18.011537, 20.246980, 24.970186, 26.984608, 42.176566], [13.388392, 13.783937, 14.311126, 15.360025, 16.050200, 16.234005, 16.627867, 17.118599, 25.614949, 86.915022], [8.283646, 8.466254, 8.729571, 9.332069, 9.435618, 9.523067, 9.735101, 10.990249, 12.046000, 62.707160], [7.352171, 7.367250, 7.701660, 7.729217, 7.906499, 7.910054, 9.210847, 9.268772, 9.859765, 74.923578]]
### 4
fourier: [[12.914107, 13.202925, 13.385758, 13.593321, 14.256464, 14.807656, 16.004939, 16.009849, 26.397844, 71.722630], [10.251061, 10.285534, 10.592893, 10.999241, 12.147080, 13.350333, 13.713406, 14.100176, 20.049652, 121.031142], [16.103771, 16.183667, 16.379468, 18.789378, 19.156007, 19.666377, 20.745254, 22.397521, 28.943442, 76.832741], [7.730737, 7.867678, 8.019156, 8.315026, 8.903312, 9.498950, 10.886366, 11.443725, 12.383201, 37.161375], [11.636093, 12.038821, 12.961323, 13.726537, 14.194173, 15.880412, 16.245816, 16.799324, 22.679263, 152.724226], [11.393173, 12.065762, 12.118367, 12.363741, 13.844804, 14.039475, 14.097804, 17.346521, 18.592648, 100.849320], [8.933628, 9.000149, 9.154547, 10.130958, 10.689440, 12.759137, 13.209707, 14.732207, 15.035940, 161.201771]]
### 6
fourier: [[13.398586, 13.515921, 13.784973, 15.285285, 15.995089, 16.006156, 16.328712, 19.001255, 21.294826, 26.761570], [15.773419, 15.805880, 16.083834, 16.693333, 17.376693, 17.593976, 18.591419, 19.767679, 21.503531, 31.903953], [8.237332, 8.329194, 8.765891, 8.926729, 9.462189, 10.741501, 11.191318, 12.095866, 15.538124, 48.249141], [23.676801, 23.920621, 24.763091, 27.133172, 28.333777, 30.493295, 33.667394, 37.556852, 39.305248, 172.541427], [2.090593, 2.134239, 2.166830, 2.213492, 2.649222, 2.701896, 2.906200, 2.906204, 3.249116, 63.008419], [8.178935, 8.387547, 8.633586, 8.874126, 9.100218, 11.407464, 12.075697, 12.807472, 13.053462, 85.212614], [6.813998, 7.311693, 7.769016, 7.850063, 8.163872, 8.497169, 9.028547, 10.903909, 10.926270, 91.539831]]
### 8
fourier: [[26.621466, 27.230299, 29.618876, 29.685082, 30.669827, 31.522620, 36.386282, 37.323117, 50.071772, 181.253522]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.138046, 0.392582, -0.542111, 0.22834, 0.024211], [0.230282, -0.284389, -0.083301, -0.281395, 0.000342], [-0.225354, 0.389732, -0.247048, 0.09562, 0.17652], [0.648842, -0.025087, 0.348047, -1.151845, 0.025112], [-0.665897, 0.286776, 0.39646, -0.079339, 0.021323], [0.416776, 0.015341, -1.239062, 0.159281, -0.022972], [-0.527406, 0.186838, 0.091237, -0.272802, -0.012874]], "network.0.bias": [0.077506, 0.186499, 0.041969, -0.169192, -0.348186, 0.563694, -0.11186], "network.2.weight": [[-0.149699, 0.05145, 0.107082, -0.433567, 0.154509, 0.856345, 0.223338], [-0.218424, -0.216943, 0.221837, 0.951402, -0.349, -0.762498, -0.189403], [-0.27428, -0.643086, 0.20496, -0.870855, -0.471255, -0.845113, -0.570178], [0.130961, -0.198311, 0.254882, -0.855904, -0.154164, -0.634124, 0.042391], [0.360206, 0.132492, 0.566552, -0.407692, 0.306628, 0.751766, 0.219443], [-0.415489, 0.8258, -0.378572, -0.468005, 0.56245, 0.529059, 0.648847], [0.102954, -0.184212, 0.280225, 0.395345, 0.08617, 0.410212, 0.361233]], "network.2.bias": [0.179569, 0.318159, 0.498451, 0.147889, 0.477049, -0.438536, 0.264807], "network.4.weight": [[0.278542, -0.354158, -1.200362, -0.14502, 0.632805, 0.335213, 0.067436], [-0.06889, 0.053718, 0.565093, 0.357394, -0.737259, 0.365413, -0.206876], [-0.288028, 0.823611, 0.549392, 0.117942, -0.403042, -0.537875, 0.034089], [-0.151452, -0.087364, 1.033462, 0.088427, -0.222474, -0.18277, -0.431465], [-0.38148, 0.025967, 0.513914, 0.638939, -0.575999, -0.022885, -0.742664], [0.048921, 0.804634, -0.547049, -0.00204, 0.307077, 0.095101, 0.127374], [-0.093024, -0.129459, -0.255682, 0.511583, -0.604185, 0.885338, -0.643102]], "network.4.bias": [0.453917, -0.570617, 0.6873, 0.060337, -0.640888, 0.31186, -0.600319], "network.6.weight": [[0.576236, 0.648693, -0.523481, -0.551407, 0.518418, 0.0335, -0.019335], [0.652797, 0.48313, -0.763636, -0.41113, 0.561881, 0.310767, -0.013321], [0.156458, 0.27528, -0.512113, -0.189449, 0.482658, 0.094671, 0.128121], [-0.349106, -0.885846, 1.107738, 0.124927, -0.925555, 0.502122, -0.769854], [-0.176107, 0.450754, -0.149935, 0.037301, 0.287879, -0.051566, 0.541123], [-0.036562, 0.053931, -0.525699, -0.378174, 0.929969, -0.081566, -0.18786], [0.087956, 0.183105, -0.307761, 0.259647, 0.406259, -0.157364, 0.437374]], "network.6.bias": [-0.16306, -0.252736, -0.2235, 0.469521, -0.247697, -0.306968, -0.557725], "network.8.weight": [[0.37858, 0.573684, 0.14146, -0.890916, 0.066518, 0.465849, 0.243921]], "network.8.bias": [-0.541465]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6918917894363403, "train_acc": 0.54, "val_loss": 0.6864065527915955, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6884028911590576, "train_acc": 0.54, "val_loss": 0.678395688533783, "val_acc": 0.66}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6774635314941406, "train_acc": 0.615, "val_loss": 0.6601304411888123, "val_acc": 0.68}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6512952148914337, "train_acc": 0.65, "val_loss": 0.6221683621406555, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.637241542339325, "train_acc": 0.615, "val_loss": 0.5909903645515442, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5876661241054535, "train_acc": 0.775, "val_loss": 0.5968632102012634, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.576416939496994, "train_acc": 0.735, "val_loss": 0.5551058053970337, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5410784780979156, "train_acc": 0.745, "val_loss": 0.4997159540653229, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5027173459529877, "train_acc": 0.77, "val_loss": 0.4537161886692047, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4691855311393738, "train_acc": 0.81, "val_loss": 0.45236721634864807, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.45538076758384705, "train_acc": 0.82, "val_loss": 0.44834503531455994, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.41576361656188965, "train_acc": 0.825, "val_loss": 0.4368828535079956, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.422786608338356, "train_acc": 0.815, "val_loss": 0.43664515018463135, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.38963329792022705, "train_acc": 0.825, "val_loss": 0.483530730009079, "val_acc": 0.7}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6864065527915955, "final_val_loss": 0.6221683621406555, "initial_val_acc": 0.56, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.5909903645515442, "final_val_loss": 0.483530730009079, "initial_val_acc": 0.78, "final_val_acc": 0.7, "best_val_acc": 0.82, "best_epoch": 11}, "improvement": 0.17999999999999994, "first_improvement_epoch": 3}}
|
245
|
{"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.92, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6815, "learning_rate": 0.057556488501686265, "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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[
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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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}
## Activation Signature
### 0
fourier: [[23.408088, 25.430462, 25.494329, 27.600041, 29.043291, 32.959309, 35.857122, 36.203157, 39.463077, 272.936587], [31.178875, 32.375113, 33.872230, 34.235332, 40.034728, 42.177937, 42.296527, 46.219236, 49.909098, 108.722524], [13.713466, 14.363178, 16.071650, 16.242864, 19.689685, 21.877208, 22.707572, 22.912935, 23.662109, 162.899545], [50.205483, 54.278804, 55.042680, 63.015103, 65.768498, 66.617315, 73.805787, 79.620344, 84.430671, 201.723140], [30.610997, 31.032749, 31.198672, 32.592101, 33.650280, 36.040901, 44.197165, 45.782714, 52.078327, 243.295821]]
### 2
fourier: [[27.403337, 27.915607, 28.353006, 29.831863, 32.570639, 35.256682, 36.631447, 37.541418, 44.690493, 154.861902], [28.618296, 31.424138, 32.089444, 32.945574, 36.352568, 37.944143, 38.279841, 38.426966, 53.318357, 228.730987], [34.240967, 40.316208, 42.765139, 43.811334, 44.351737, 44.807011, 44.880779, 50.680544, 60.658742, 241.726050], [14.671671, 15.274690, 17.045328, 17.595872, 17.771947, 18.389935, 18.593872, 18.806778, 23.752622, 64.968674], [27.939088, 27.986344, 33.002418, 33.081499, 33.286957, 38.000201, 38.729549, 43.870231, 46.693686, 123.968997]]
### 4
fourier: [[12.281202, 12.761466, 13.797076, 14.228694, 14.627361, 14.866678, 16.280439, 16.396900, 21.010483, 50.627995], [18.383487, 19.864021, 19.865857, 20.041295, 22.280602, 22.665291, 23.782534, 24.061196, 24.206316, 34.923045], [11.030987, 11.036618, 11.335039, 11.867097, 12.001766, 12.262044, 12.411765, 15.252452, 15.283203, 29.198559], [11.946427, 12.937024, 13.370607, 13.439603, 15.259089, 15.284632, 15.745603, 16.296891, 16.355815, 42.022772], [6.730231, 6.752259, 6.917732, 7.534110, 7.671937, 8.245914, 8.470494, 8.604902, 9.811858, 9.851331]]
### 6
fourier: [[22.242053, 22.272283, 23.195229, 23.612172, 24.534283, 24.545356, 25.169059, 26.568755, 26.855024, 111.283747], [9.965091, 10.116469, 10.216753, 10.231483, 10.418492, 10.658809, 10.820153, 11.146236, 11.561541, 43.867614], [14.712147, 14.891602, 15.403185, 15.879918, 16.123453, 16.192631, 17.104114, 17.474865, 18.301592, 21.724691], [18.804884, 19.023566, 19.607534, 20.135047, 20.369059, 20.733274, 20.773675, 21.909048, 22.729124, 134.181096], [18.023410, 18.737110, 19.382153, 19.656758, 19.807911, 20.698312, 20.741273, 21.321358, 22.213271, 22.881908]]
### 8
fourier: [[33.658714, 34.047456, 35.619423, 36.035175, 36.590793, 37.823708, 38.862509, 39.138819, 41.111103, 167.005310]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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}
## Activation Signature
### 0
fourier: [[23.408088, 25.430462, 25.494329, 27.600041, 29.043291, 32.959309, 35.857122, 36.203157, 39.463077, 272.936587], [31.178875, 32.375113, 33.872230, 34.235332, 40.034728, 42.177937, 42.296527, 46.219236, 49.909098, 108.722524], [13.713466, 14.363178, 16.071650, 16.242864, 19.689685, 21.877208, 22.707572, 22.912935, 23.662109, 162.899545], [50.205483, 54.278804, 55.042680, 63.015103, 65.768498, 66.617315, 73.805787, 79.620344, 84.430671, 201.723140], [30.610997, 31.032749, 31.198672, 32.592101, 33.650280, 36.040901, 44.197165, 45.782714, 52.078327, 243.295821]]
### 2
fourier: [[27.403337, 27.915607, 28.353006, 29.831863, 32.570639, 35.256682, 36.631447, 37.541418, 44.690493, 154.861902], [28.618296, 31.424138, 32.089444, 32.945574, 36.352568, 37.944143, 38.279841, 38.426966, 53.318357, 228.730987], [34.240967, 40.316208, 42.765139, 43.811334, 44.351737, 44.807011, 44.880779, 50.680544, 60.658742, 241.726050], [14.671671, 15.274690, 17.045328, 17.595872, 17.771947, 18.389935, 18.593872, 18.806778, 23.752622, 64.968674], [27.939088, 27.986344, 33.002418, 33.081499, 33.286957, 38.000201, 38.729549, 43.870231, 46.693686, 123.968997]]
### 4
fourier: [[12.281202, 12.761466, 13.797076, 14.228694, 14.627361, 14.866678, 16.280439, 16.396900, 21.010483, 50.627995], [18.383487, 19.864021, 19.865857, 20.041295, 22.280602, 22.665291, 23.782534, 24.061196, 24.206316, 34.923045], [11.030987, 11.036618, 11.335039, 11.867097, 12.001766, 12.262044, 12.411765, 15.252452, 15.283203, 29.198559], [11.946427, 12.937024, 13.370607, 13.439603, 15.259089, 15.284632, 15.745603, 16.296891, 16.355815, 42.022772], [6.730231, 6.752259, 6.917732, 7.534110, 7.671937, 8.245914, 8.470494, 8.604902, 9.811858, 9.851331]]
### 6
fourier: [[22.242053, 22.272283, 23.195229, 23.612172, 24.534283, 24.545356, 25.169059, 26.568755, 26.855024, 111.283747], [9.965091, 10.116469, 10.216753, 10.231483, 10.418492, 10.658809, 10.820153, 11.146236, 11.561541, 43.867614], [14.712147, 14.891602, 15.403185, 15.879918, 16.123453, 16.192631, 17.104114, 17.474865, 18.301592, 21.724691], [18.804884, 19.023566, 19.607534, 20.135047, 20.369059, 20.733274, 20.773675, 21.909048, 22.729124, 134.181096], [18.023410, 18.737110, 19.382153, 19.656758, 19.807911, 20.698312, 20.741273, 21.321358, 22.213271, 22.881908]]
### 8
fourier: [[33.658714, 34.047456, 35.619423, 36.035175, 36.590793, 37.823708, 38.862509, 39.138819, 41.111103, 167.005310]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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17.7719467918865, 18.38993517624643, 18.59387228088973, 18.80677835890659, 23.752622405200306, 64.9686736613512]}, "4": {"fourier": [27.939088171432815, 27.986344402903686, 33.0024182955714, 33.08149900002838, 33.28695662359471, 38.000201356194964, 38.72954859434139, 43.87023064789074, 46.69368621146345, 123.96899735927582]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [12.281202033943329, 12.761465893828685, 13.797075579795226, 14.228693976511805, 14.62736113863753, 14.866677513194269, 16.280438652719084, 16.39689990454388, 21.01048264837162, 50.62799499928951]}, "1": {"fourier": [18.383486586189722, 19.864020648134126, 19.86585709334042, 20.041295335194793, 22.28060219333225, 22.665290591127956, 23.78253424009653, 24.06119632830298, 24.206316202585537, 34.92304456233978]}, "2": {"fourier": [11.030986901893964, 11.036618237470043, 11.335039387790738, 11.86709731639107, 12.001765564905797, 12.262043548498495, 12.411765323295308, 15.252451945433528, 15.283203434088396, 29.19855898618698]}, "3": {"fourier": [11.946426855205925, 12.937024313574916, 13.370606964123983, 13.439602551669077, 15.259089247000674, 15.28463241262929, 15.74560305304162, 16.296890671129937, 16.35581537033571, 42.0227724481374]}, "4": {"fourier": [6.730231265177892, 6.752258885570558, 6.917732304541196, 7.534110048359923, 7.671936977641239, 8.245914356888754, 8.470494295733412, 8.604901715566848, 9.811858206361153, 9.85133139913748]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [22.24205255150891, 22.27228298807874, 23.195229079817945, 23.61217227044534, 24.534282984679624, 24.545356209431056, 25.16905936916444, 26.568754985382117, 26.855023984713423, 111.28374716639519]}, "1": {"fourier": [9.96509093309995, 10.116469279579599, 10.216753453580502, 10.23148295490255, 10.418491948466158, 10.658809267807968, 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39.13881887465984, 41.11110281045591, 167.00531037151814]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.059453, 0.482107, 0.300596, 0.654952, 0.160078], [0.479289, -1.08367, 0.321489, -0.475101, 0.162051], [-0.159596, -0.338944, -0.114255, 0.059604, -0.425646], [-0.954404, 0.149561, -1.052733, 0.558668, -0.888223], [0.72357, -0.413822, 0.683649, 0.544486, 0.202337]], "network.0.bias": [-0.001739, 0.317621, -0.357943, 0.770287, -0.288317], "network.2.weight": [[-0.983055, 0.801532, -0.818911, -0.086952, 0.22293], [-0.883775, 0.867017, -0.298217, -0.742361, 0.091797], [-0.091115, 0.094863, -0.73401, 0.818099, -0.983725], [-0.083574, 0.098777, -0.519699, 0.440106, -0.347728], [0.007512, -0.438619, -0.786348, 0.643889, -0.682816]], "network.2.bias": [0.327012, -0.105943, -0.231757, 0.184444, 0.229868], "network.4.weight": [[-0.792369, -0.440567, -0.102925, 0.069958, 0.506742], [-0.847685, -0.521059, -0.960904, -0.898128, -0.657504], [-0.161564, -0.484939, -0.662547, -0.851948, -0.333866], [0.477302, 0.489287, 0.37598, 0.585933, 0.634226], [-0.097916, -0.446875, -0.416566, -0.603814, -0.092796]], "network.4.bias": [-0.375629, 1.055745, 0.672385, 0.024493, 0.268047], "network.6.weight": [[-0.500447, 1.059942, 0.702719, -1.08886, 0.093538], [0.478806, -0.517891, -0.655044, 0.310766, -0.08089], [0.084708, -0.852654, -0.582056, 0.592042, -0.590515], [-0.728822, 0.894536, 0.746764, -0.736858, 0.882009], [0.591166, -0.80885, -0.599833, 0.844525, -0.844665]], "network.6.bias": [0.64784, 0.054258, 0.416882, 0.722582, 0.384053], "network.8.weight": [[-0.652087, 0.520035, 0.248428, -0.854873, 0.788661]], "network.8.bias": [0.113257]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7478350698947906, "train_acc": 0.435, "val_loss": 0.7193804979324341, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7059894800186157, "train_acc": 0.435, "val_loss": 0.6885687112808228, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.646337479352951, "train_acc": 0.495, "val_loss": 0.731060802936554, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6351005733013153, "train_acc": 0.67, "val_loss": 0.6449623107910156, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5898876190185547, "train_acc": 0.665, "val_loss": 0.7741287350654602, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5235968232154846, "train_acc": 0.825, "val_loss": 0.5394477248191833, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3718157410621643, "train_acc": 0.895, "val_loss": 0.4453814625740051, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.2685810625553131, "train_acc": 0.915, "val_loss": 0.4186536371707916, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.18982108682394028, "train_acc": 0.94, "val_loss": 0.42225372791290283, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.1612100601196289, "train_acc": 0.96, "val_loss": 0.4685009717941284, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1764550805091858, "train_acc": 0.97, "val_loss": 0.4404613971710205, "val_acc": 0.92}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7193804979324341, "final_val_loss": 0.6449623107910156, "initial_val_acc": 0.42, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.7741287350654602, "final_val_loss": 0.4404613971710205, "initial_val_acc": 0.68, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.30000000000000004, "first_improvement_epoch": 3}}
|
246
|
{"target_pattern": "contains_abc", "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": 8337, "learning_rate": 0.09259502292918118, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[41.654411, 42.103753, 42.385630, 44.925766, 55.565230, 59.246146, 62.580342, 63.081621, 68.011324, 250.271325], [24.165491, 25.120386, 25.992728, 27.437398, 29.366833, 30.045049, 30.172094, 33.595559, 36.536723, 125.520870], [65.123968, 68.161479, 69.222749, 71.796119, 76.147680, 77.169736, 81.699337, 84.067825, 86.193513, 389.670629], [51.728009, 54.553267, 55.939581, 58.841172, 63.177109, 64.195484, 64.394743, 68.378524, 72.760379, 137.302509], [32.940882, 36.049177, 36.893504, 39.581220, 40.122925, 41.863416, 45.158893, 52.648688, 54.237510, 287.456664], [36.951892, 41.673648, 43.903172, 46.652976, 47.602612, 51.782478, 51.939538, 52.846042, 56.109108, 115.896063], [24.229374, 24.756629, 25.954216, 27.182787, 27.542429, 28.015501, 28.184237, 29.304525, 32.875789, 33.099881]]
### 2
fourier: [[63.029951, 68.408828, 70.330348, 71.299173, 73.689839, 75.047195, 79.028299, 79.580864, 81.343322, 367.313370], [138.912073, 150.199260, 156.399334, 157.253658, 162.846730, 164.276209, 171.871056, 174.200122, 179.336256, 801.438767], [56.159225, 58.511281, 59.279198, 61.465918, 66.004334, 68.185963, 71.356197, 74.796703, 75.477275, 215.022747], [135.241374, 144.191331, 151.545696, 154.932307, 157.097917, 159.002677, 161.195646, 169.192525, 173.803851, 718.166920], [83.847884, 86.655905, 90.492147, 95.539805, 95.770455, 98.243170, 105.479343, 106.908453, 107.832415, 515.286285], [41.495703, 44.857660, 45.129668, 47.984628, 50.678058, 55.939757, 57.619792, 61.718188, 62.538772, 324.894843], [140.406169, 152.994232, 159.653704, 163.141432, 171.473996, 172.369833, 177.423183, 184.216318, 188.706944, 713.209307]]
### 4
fourier: [[131.380562, 147.179450, 147.697614, 153.216370, 159.771102, 160.067005, 164.760236, 170.655522, 171.548477, 741.317588], [111.048979, 118.277177, 125.129393, 126.552280, 131.346603, 131.759996, 138.136450, 142.619050, 144.546010, 517.431798], [154.190502, 174.269534, 174.477464, 181.191630, 188.020701, 188.686628, 193.023782, 199.742982, 200.431269, 744.928631], [12.477183, 13.186591, 13.310960, 13.405652, 14.293420, 14.341813, 15.422883, 15.871340, 16.251330, 108.438528], [124.345498, 135.837271, 140.607514, 143.066365, 148.492026, 149.179704, 155.241509, 159.130448, 161.265763, 587.762608], [7.007223, 7.062662, 7.531279, 7.535736, 8.003714, 8.015258, 8.910101, 9.955258, 10.005137, 90.971220], [143.614550, 158.950820, 164.555156, 165.024473, 170.770506, 172.496533, 178.267035, 179.944335, 184.764174, 850.839098]]
### 6
fourier: [[38.951303, 43.814821, 44.459209, 46.653460, 47.474042, 47.886145, 48.300535, 49.363202, 50.018015, 243.861220], [124.907793, 140.416948, 143.118952, 149.446404, 152.345774, 153.353797, 154.822472, 158.227504, 160.382447, 590.141956], [151.465078, 170.462579, 173.254619, 181.321333, 184.724404, 186.018873, 187.755232, 191.902988, 194.269354, 746.234319], [56.778570, 63.920926, 63.933449, 68.261459, 69.006138, 70.160376, 70.530728, 72.067043, 73.052727, 327.383537], [162.807264, 183.046018, 185.789270, 195.002413, 198.392360, 200.201127, 201.902994, 206.333414, 209.210650, 831.933304], [138.112010, 155.287416, 158.025617, 165.308751, 168.404097, 169.651725, 171.216833, 174.982162, 177.355189, 656.402052], [152.436124, 171.780453, 173.545960, 182.733660, 185.778988, 187.486374, 189.045925, 193.234142, 195.392008, 727.788319]]
### 8
fourier: [[82.603429, 92.368700, 94.543594, 98.896732, 99.864239, 101.415787, 102.170951, 103.786093, 105.289228, 435.489640], [72.327578, 81.026192, 82.818103, 86.650722, 87.741908, 88.838710, 89.521421, 91.211961, 92.550799, 319.339149], [1.826965, 1.922264, 1.983865, 2.019122, 2.262015, 2.486861, 2.619107, 2.648114, 2.758967, 109.043910], [225.913819, 253.094251, 258.503988, 270.536824, 273.944035, 277.419340, 279.615974, 284.728390, 288.773620, 1063.575654], [100.064280, 112.556563, 114.467486, 119.896826, 122.143801, 122.929971, 124.027269, 126.974058, 128.711823, 391.392306], [4.323344, 4.483320, 4.689452, 4.828822, 4.964421, 5.081279, 5.670824, 5.703211, 5.825258, 71.966665], [97.952183, 109.723564, 112.037476, 117.296240, 118.739709, 120.293620, 121.236236, 123.422826, 125.179365, 441.354834]]
### 10
fourier: [[113.455573, 127.775158, 128.943908, 135.882919, 140.751670, 140.928255, 141.888355, 147.406852, 149.707323, 323.155494]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[41.654411, 42.103753, 42.385630, 44.925766, 55.565230, 59.246146, 62.580342, 63.081621, 68.011324, 250.271325], [24.165491, 25.120386, 25.992728, 27.437398, 29.366833, 30.045049, 30.172094, 33.595559, 36.536723, 125.520870], [65.123968, 68.161479, 69.222749, 71.796119, 76.147680, 77.169736, 81.699337, 84.067825, 86.193513, 389.670629], [51.728009, 54.553267, 55.939581, 58.841172, 63.177109, 64.195484, 64.394743, 68.378524, 72.760379, 137.302509], [32.940882, 36.049177, 36.893504, 39.581220, 40.122925, 41.863416, 45.158893, 52.648688, 54.237510, 287.456664], [36.951892, 41.673648, 43.903172, 46.652976, 47.602612, 51.782478, 51.939538, 52.846042, 56.109108, 115.896063], [24.229374, 24.756629, 25.954216, 27.182787, 27.542429, 28.015501, 28.184237, 29.304525, 32.875789, 33.099881]]
### 2
fourier: [[63.029951, 68.408828, 70.330348, 71.299173, 73.689839, 75.047195, 79.028299, 79.580864, 81.343322, 367.313370], [138.912073, 150.199260, 156.399334, 157.253658, 162.846730, 164.276209, 171.871056, 174.200122, 179.336256, 801.438767], [56.159225, 58.511281, 59.279198, 61.465918, 66.004334, 68.185963, 71.356197, 74.796703, 75.477275, 215.022747], [135.241374, 144.191331, 151.545696, 154.932307, 157.097917, 159.002677, 161.195646, 169.192525, 173.803851, 718.166920], [83.847884, 86.655905, 90.492147, 95.539805, 95.770455, 98.243170, 105.479343, 106.908453, 107.832415, 515.286285], [41.495703, 44.857660, 45.129668, 47.984628, 50.678058, 55.939757, 57.619792, 61.718188, 62.538772, 324.894843], [140.406169, 152.994232, 159.653704, 163.141432, 171.473996, 172.369833, 177.423183, 184.216318, 188.706944, 713.209307]]
### 4
fourier: [[131.380562, 147.179450, 147.697614, 153.216370, 159.771102, 160.067005, 164.760236, 170.655522, 171.548477, 741.317588], [111.048979, 118.277177, 125.129393, 126.552280, 131.346603, 131.759996, 138.136450, 142.619050, 144.546010, 517.431798], [154.190502, 174.269534, 174.477464, 181.191630, 188.020701, 188.686628, 193.023782, 199.742982, 200.431269, 744.928631], [12.477183, 13.186591, 13.310960, 13.405652, 14.293420, 14.341813, 15.422883, 15.871340, 16.251330, 108.438528], [124.345498, 135.837271, 140.607514, 143.066365, 148.492026, 149.179704, 155.241509, 159.130448, 161.265763, 587.762608], [7.007223, 7.062662, 7.531279, 7.535736, 8.003714, 8.015258, 8.910101, 9.955258, 10.005137, 90.971220], [143.614550, 158.950820, 164.555156, 165.024473, 170.770506, 172.496533, 178.267035, 179.944335, 184.764174, 850.839098]]
### 6
fourier: [[38.951303, 43.814821, 44.459209, 46.653460, 47.474042, 47.886145, 48.300535, 49.363202, 50.018015, 243.861220], [124.907793, 140.416948, 143.118952, 149.446404, 152.345774, 153.353797, 154.822472, 158.227504, 160.382447, 590.141956], [151.465078, 170.462579, 173.254619, 181.321333, 184.724404, 186.018873, 187.755232, 191.902988, 194.269354, 746.234319], [56.778570, 63.920926, 63.933449, 68.261459, 69.006138, 70.160376, 70.530728, 72.067043, 73.052727, 327.383537], [162.807264, 183.046018, 185.789270, 195.002413, 198.392360, 200.201127, 201.902994, 206.333414, 209.210650, 831.933304], [138.112010, 155.287416, 158.025617, 165.308751, 168.404097, 169.651725, 171.216833, 174.982162, 177.355189, 656.402052], [152.436124, 171.780453, 173.545960, 182.733660, 185.778988, 187.486374, 189.045925, 193.234142, 195.392008, 727.788319]]
### 8
fourier: [[82.603429, 92.368700, 94.543594, 98.896732, 99.864239, 101.415787, 102.170951, 103.786093, 105.289228, 435.489640], [72.327578, 81.026192, 82.818103, 86.650722, 87.741908, 88.838710, 89.521421, 91.211961, 92.550799, 319.339149], [1.826965, 1.922264, 1.983865, 2.019122, 2.262015, 2.486861, 2.619107, 2.648114, 2.758967, 109.043910], [225.913819, 253.094251, 258.503988, 270.536824, 273.944035, 277.419340, 279.615974, 284.728390, 288.773620, 1063.575654], [100.064280, 112.556563, 114.467486, 119.896826, 122.143801, 122.929971, 124.027269, 126.974058, 128.711823, 391.392306], [4.323344, 4.483320, 4.689452, 4.828822, 4.964421, 5.081279, 5.670824, 5.703211, 5.825258, 71.966665], [97.952183, 109.723564, 112.037476, 117.296240, 118.739709, 120.293620, 121.236236, 123.422826, 125.179365, 441.354834]]
### 10
fourier: [[113.455573, 127.775158, 128.943908, 135.882919, 140.751670, 140.928255, 141.888355, 147.406852, 149.707323, 323.155494]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.354748, -0.339861, 0.773133, 0.501384, -0.247725], [0.739833, 0.117664, 0.282456, 0.214301, -0.314384], [1.996024, 0.504988, 0.157049, 0.321929, 0.089973], [1.769735, 0.484035, -0.077051, -0.00894, -0.501521], [0.745045, 0.433344, 0.356128, 0.671254, -0.109521], [1.473596, 0.092304, -0.157438, 0.161413, -0.235377], [0.791624, 0.265805, -0.013041, 0.092556, -0.339492]], "network.0.bias": [-0.670464, -0.40225, -0.20385, -0.760108, -0.571156, -0.441245, -0.957936], "network.2.weight": [[-0.047956, -0.410611, -0.34972, -0.174266, -0.251649, -0.347246, -0.003342], [0.363936, 0.25344, 0.665785, 1.078952, 0.634075, 0.071432, 0.065635], [-0.756266, 0.315219, 0.081653, -0.591348, -0.153286, -0.069306, -0.071337], [0.350639, 0.162534, 0.553994, 1.222177, 0.787003, -0.259584, 0.379458], [-0.098031, -0.346935, -0.605007, 0.10458, -0.425308, -0.577231, -0.119756], [-0.57325, -0.192093, -0.180469, 0.003778, -0.190749, 0.010206, 0.071119], [0.549793, -0.211884, 0.851212, 1.0203, 0.277412, 0.419729, -0.092162]], "network.2.bias": [-0.036102, 0.056006, 0.907319, -0.717814, -0.0661, -0.302823, -0.720853], "network.4.weight": [[-0.054885, -0.215154, 0.231262, -0.180418, -0.217421, 0.124664, -0.555927], [0.199336, 0.093668, -1.03973, 0.348055, 0.476905, 0.085742, 0.343925], [-0.006773, -0.075774, -0.276306, 0.532179, -0.048766, 0.557635, 0.674893], [0.201475, -0.286867, -0.076459, 0.165768, -0.024906, -0.246897, 0.036762], [-0.011175, 0.175339, -0.592189, 0.35328, -0.217161, -0.511692, 0.367201], [-0.324387, -0.50901, -0.213494, 0.365352, -0.423349, -0.409593, 0.100385], [-0.0008, -0.513632, -0.175465, -0.408771, 0.112361, 0.098825, -0.136729]], "network.4.bias": [-0.470392, -0.388441, -0.677641, -0.262811, -0.674079, -0.175872, -0.444203], "network.6.weight": [[0.050964, -0.118202, -0.11617, 0.192939, -0.071682, -0.252175, -0.009994], [0.094423, 0.055559, 0.489278, -0.053644, 0.367211, -0.585041, -0.352368], [-0.096606, 0.095669, 0.44742, -0.263718, 0.604972, 0.128352, -0.127809], [-0.499736, -0.76893, -0.02375, -0.047369, 0.237082, 0.436198, -0.23683], [-0.283432, -0.613666, -0.532527, -0.096333, -0.13477, -0.337609, -0.093404], [0.572948, 0.201393, 0.498579, 0.182706, 0.336368, -0.093588, 0.515505], [0.012439, -0.48409, -0.220963, -0.193759, -0.557294, 0.233959, 0.129957]], "network.6.bias": [-0.539052, -0.375513, -0.129236, -0.428652, -0.168973, -0.383441, 0.429071], "network.8.weight": [[-0.153366, -0.063203, -0.360502, -0.180316, 0.090931, -0.1457, 0.007384], [0.100134, 0.421542, 0.000468, 0.442341, 0.393225, 0.141954, -0.357662], [0.33851, -0.007693, 0.407907, 0.224221, 0.245429, -0.423502, 0.725068], [0.080178, 0.524717, 0.650764, -0.277379, -0.026927, 0.447395, -0.582395], [0.047332, -0.722993, 0.080206, 0.402982, -0.321395, -0.158151, 0.842378], [-0.276664, -0.057015, 0.203985, -0.183074, -0.033866, -0.144263, -0.194312], [0.039445, -0.027315, 0.301479, 0.23787, -0.126984, 0.403244, -0.212999]], "network.8.bias": [-0.34424, -0.26782, 0.919338, -0.326255, 0.867739, 0.567539, -0.377892], "network.10.weight": [[-0.142142, -0.148596, 0.84484, -0.320737, 0.862522, 0.180167, -0.324992]], "network.10.bias": [0.945362]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7138919234275818, "train_acc": 0.455, "val_loss": 0.685554027557373, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.659015417098999, "train_acc": 0.565, "val_loss": 0.6135420203208923, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7714941501617432, "train_acc": 0.485, "val_loss": 0.4896087646484375, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4992714375257492, "train_acc": 0.82, "val_loss": 0.5937658548355103, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4803396463394165, "train_acc": 0.775, "val_loss": 0.4847993850708008, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.37489548325538635, "train_acc": 0.81, "val_loss": 0.4926185607910156, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3569965660572052, "train_acc": 0.825, "val_loss": 0.6290457248687744, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3446352928876877, "train_acc": 0.855, "val_loss": 0.48315703868865967, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.30723194777965546, "train_acc": 0.885, "val_loss": 0.4149477779865265, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.29693812131881714, "train_acc": 0.9, "val_loss": 0.39421507716178894, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2698529213666916, "train_acc": 0.895, "val_loss": 0.4107501208782196, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.22425749897956848, "train_acc": 0.915, "val_loss": 0.377132773399353, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.685554027557373, "final_val_loss": 0.6135420203208923, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4896087646484375, "final_val_loss": 0.377132773399353, "initial_val_acc": 0.78, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 10}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
247
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{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6311, "learning_rate": 0.06112462061634258, "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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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[14.924889, 15.493491, 15.613627, 16.295489, 16.543318, 18.029311, 18.993587, 20.209919, 20.949755, 99.945764], [14.745556, 14.906866, 14.991311, 15.024749, 16.459470, 17.025188, 19.617797, 21.391134, 22.105824, 38.943016], [22.382754, 22.791285, 24.208266, 24.548935, 25.786041, 31.675036, 33.331527, 36.900865, 44.464402, 71.859243], [23.078059, 23.291311, 25.176447, 25.179030, 26.260028, 26.409087, 27.473005, 31.007311, 31.310142, 104.269538], [19.661106, 21.673044, 21.752351, 22.384819, 23.199621, 23.418175, 27.333982, 28.063829, 32.148153, 65.477641], [22.628629, 22.827316, 31.064255, 31.838140, 31.988426, 33.861490, 37.957422, 39.307848, 40.322447, 115.797985], [24.140516, 25.045976, 26.355618, 27.488017, 33.976456, 34.131653, 36.027297, 45.600897, 45.737144, 90.410504], [35.396684, 35.869882, 36.540966, 37.430911, 37.815612, 37.983811, 44.526187, 45.038100, 53.093009, 250.505399]]
### 2
fourier: [[30.916891, 31.328867, 31.349950, 38.322837, 42.962016, 47.675686, 48.285738, 60.566980, 62.668472, 153.374965], [29.339463, 29.836550, 31.314485, 33.252560, 36.455437, 39.206378, 40.872922, 51.186351, 53.825408, 121.103193], [23.092610, 23.745282, 25.920552, 29.601520, 30.748135, 33.064103, 34.339327, 44.045703, 46.601526, 103.723143], [29.013292, 29.212209, 29.650963, 34.854260, 37.830471, 38.575989, 40.165658, 53.298650, 56.162759, 121.719062], [32.186480, 32.513322, 33.563414, 33.654786, 34.490828, 40.085900, 44.641027, 52.353048, 61.777371, 238.326766], [20.196565, 20.956343, 21.578936, 25.764830, 29.121400, 31.492194, 31.638478, 39.814452, 41.630749, 108.562207], [32.970421, 38.818781, 42.527400, 42.732472, 58.549445, 58.751373, 60.092750, 70.560465, 72.726492, 236.717472], [24.796200, 24.801514, 32.694278, 33.302516, 38.936856, 39.440368, 43.067516, 51.079678, 52.291704, 155.141663]]
### 4
fourier: [[11.021889, 11.295315, 12.078876, 13.667279, 14.546501, 15.196471, 15.213420, 19.853044, 22.250640, 57.611457], [28.060594, 29.119969, 30.184633, 35.909869, 39.750957, 41.815143, 42.513282, 52.235373, 56.091676, 72.048146], [31.915914, 33.653314, 34.722026, 42.109801, 44.765308, 46.460685, 47.099315, 59.966982, 66.459953, 194.877187], [30.417640, 30.499337, 34.162684, 36.646227, 42.328665, 43.177024, 43.977786, 55.456122, 62.569980, 215.310757], [18.019692, 18.263212, 18.637038, 23.228405, 23.590774, 24.496612, 24.934990, 29.797591, 35.760581, 90.889127], [19.352725, 19.505703, 20.461273, 25.757532, 26.488654, 29.411037, 30.033628, 37.404994, 38.477471, 58.337036], [43.227933, 45.469818, 45.911722, 57.235862, 60.542937, 65.341993, 65.461618, 83.770259, 89.191886, 196.154634], [19.879793, 20.671183, 20.723971, 26.174134, 27.064478, 28.651621, 28.983937, 35.555927, 40.415135, 130.870573]]
### 6
fourier: [[34.970207, 35.334944, 37.320755, 45.320973, 46.231523, 51.882600, 52.128794, 66.139004, 69.019017, 139.432817], [44.755475, 45.182052, 49.804056, 55.142331, 60.160925, 62.287806, 63.214411, 77.003285, 92.057048, 288.319365], [10.179654, 10.251905, 11.593657, 11.725489, 12.151333, 12.512483, 13.279334, 14.013319, 19.407142, 113.477412], [35.803750, 36.798707, 38.710623, 47.268002, 48.068186, 53.366199, 53.759020, 67.834903, 72.120702, 152.348264], [21.224143, 22.005247, 23.148271, 27.545176, 28.195107, 32.350264, 32.755510, 41.744829, 41.751868, 53.870210], [49.152569, 49.463124, 52.402125, 64.827996, 66.001954, 72.715195, 73.200105, 93.208552, 99.329159, 237.635867], [21.183259, 21.509866, 22.310699, 25.251451, 28.226489, 30.897642, 31.445912, 39.434002, 39.454706, 49.333363], [33.642306, 35.010152, 38.066167, 42.384768, 45.587427, 47.104234, 48.271998, 57.872280, 70.116749, 282.935794]]
### 8
fourier: [[37.739003, 37.992182, 40.304950, 47.145408, 50.495353, 54.388361, 54.678820, 69.153299, 76.020445, 187.933337], [12.960894, 13.118992, 14.521324, 16.219651, 16.919937, 18.322162, 18.643977, 22.682435, 26.718154, 151.189991], [45.117460, 46.413392, 48.787710, 58.960614, 60.761610, 67.174522, 67.515294, 85.632406, 91.837130, 202.616861], [39.470845, 41.334479, 43.623461, 52.346398, 53.437169, 59.837106, 59.943992, 75.992358, 81.187694, 176.716319], [78.004373, 78.799639, 82.366597, 98.380195, 104.661555, 111.672465, 112.469613, 141.933123, 157.210932, 366.786128], [65.121719, 66.576611, 70.273439, 83.803091, 87.742100, 95.933511, 96.639756, 122.449088, 132.296468, 314.621558], [29.926192, 31.118241, 31.608612, 37.613191, 40.903053, 42.472763, 42.971670, 54.031103, 61.105969, 182.339063], [92.011939, 93.015622, 97.340420, 115.492318, 123.447918, 131.538018, 132.268539, 166.877769, 185.511643, 426.103485]]
### 10
fourier: [[107.446237, 108.414491, 113.555719, 132.674622, 144.615247, 152.136144, 154.345584, 194.405894, 216.727431, 500.883767]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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],
"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[14.924889, 15.493491, 15.613627, 16.295489, 16.543318, 18.029311, 18.993587, 20.209919, 20.949755, 99.945764], [14.745556, 14.906866, 14.991311, 15.024749, 16.459470, 17.025188, 19.617797, 21.391134, 22.105824, 38.943016], [22.382754, 22.791285, 24.208266, 24.548935, 25.786041, 31.675036, 33.331527, 36.900865, 44.464402, 71.859243], [23.078059, 23.291311, 25.176447, 25.179030, 26.260028, 26.409087, 27.473005, 31.007311, 31.310142, 104.269538], [19.661106, 21.673044, 21.752351, 22.384819, 23.199621, 23.418175, 27.333982, 28.063829, 32.148153, 65.477641], [22.628629, 22.827316, 31.064255, 31.838140, 31.988426, 33.861490, 37.957422, 39.307848, 40.322447, 115.797985], [24.140516, 25.045976, 26.355618, 27.488017, 33.976456, 34.131653, 36.027297, 45.600897, 45.737144, 90.410504], [35.396684, 35.869882, 36.540966, 37.430911, 37.815612, 37.983811, 44.526187, 45.038100, 53.093009, 250.505399]]
### 2
fourier: [[30.916891, 31.328867, 31.349950, 38.322837, 42.962016, 47.675686, 48.285738, 60.566980, 62.668472, 153.374965], [29.339463, 29.836550, 31.314485, 33.252560, 36.455437, 39.206378, 40.872922, 51.186351, 53.825408, 121.103193], [23.092610, 23.745282, 25.920552, 29.601520, 30.748135, 33.064103, 34.339327, 44.045703, 46.601526, 103.723143], [29.013292, 29.212209, 29.650963, 34.854260, 37.830471, 38.575989, 40.165658, 53.298650, 56.162759, 121.719062], [32.186480, 32.513322, 33.563414, 33.654786, 34.490828, 40.085900, 44.641027, 52.353048, 61.777371, 238.326766], [20.196565, 20.956343, 21.578936, 25.764830, 29.121400, 31.492194, 31.638478, 39.814452, 41.630749, 108.562207], [32.970421, 38.818781, 42.527400, 42.732472, 58.549445, 58.751373, 60.092750, 70.560465, 72.726492, 236.717472], [24.796200, 24.801514, 32.694278, 33.302516, 38.936856, 39.440368, 43.067516, 51.079678, 52.291704, 155.141663]]
### 4
fourier: [[11.021889, 11.295315, 12.078876, 13.667279, 14.546501, 15.196471, 15.213420, 19.853044, 22.250640, 57.611457], [28.060594, 29.119969, 30.184633, 35.909869, 39.750957, 41.815143, 42.513282, 52.235373, 56.091676, 72.048146], [31.915914, 33.653314, 34.722026, 42.109801, 44.765308, 46.460685, 47.099315, 59.966982, 66.459953, 194.877187], [30.417640, 30.499337, 34.162684, 36.646227, 42.328665, 43.177024, 43.977786, 55.456122, 62.569980, 215.310757], [18.019692, 18.263212, 18.637038, 23.228405, 23.590774, 24.496612, 24.934990, 29.797591, 35.760581, 90.889127], [19.352725, 19.505703, 20.461273, 25.757532, 26.488654, 29.411037, 30.033628, 37.404994, 38.477471, 58.337036], [43.227933, 45.469818, 45.911722, 57.235862, 60.542937, 65.341993, 65.461618, 83.770259, 89.191886, 196.154634], [19.879793, 20.671183, 20.723971, 26.174134, 27.064478, 28.651621, 28.983937, 35.555927, 40.415135, 130.870573]]
### 6
fourier: [[34.970207, 35.334944, 37.320755, 45.320973, 46.231523, 51.882600, 52.128794, 66.139004, 69.019017, 139.432817], [44.755475, 45.182052, 49.804056, 55.142331, 60.160925, 62.287806, 63.214411, 77.003285, 92.057048, 288.319365], [10.179654, 10.251905, 11.593657, 11.725489, 12.151333, 12.512483, 13.279334, 14.013319, 19.407142, 113.477412], [35.803750, 36.798707, 38.710623, 47.268002, 48.068186, 53.366199, 53.759020, 67.834903, 72.120702, 152.348264], [21.224143, 22.005247, 23.148271, 27.545176, 28.195107, 32.350264, 32.755510, 41.744829, 41.751868, 53.870210], [49.152569, 49.463124, 52.402125, 64.827996, 66.001954, 72.715195, 73.200105, 93.208552, 99.329159, 237.635867], [21.183259, 21.509866, 22.310699, 25.251451, 28.226489, 30.897642, 31.445912, 39.434002, 39.454706, 49.333363], [33.642306, 35.010152, 38.066167, 42.384768, 45.587427, 47.104234, 48.271998, 57.872280, 70.116749, 282.935794]]
### 8
fourier: [[37.739003, 37.992182, 40.304950, 47.145408, 50.495353, 54.388361, 54.678820, 69.153299, 76.020445, 187.933337], [12.960894, 13.118992, 14.521324, 16.219651, 16.919937, 18.322162, 18.643977, 22.682435, 26.718154, 151.189991], [45.117460, 46.413392, 48.787710, 58.960614, 60.761610, 67.174522, 67.515294, 85.632406, 91.837130, 202.616861], [39.470845, 41.334479, 43.623461, 52.346398, 53.437169, 59.837106, 59.943992, 75.992358, 81.187694, 176.716319], [78.004373, 78.799639, 82.366597, 98.380195, 104.661555, 111.672465, 112.469613, 141.933123, 157.210932, 366.786128], [65.121719, 66.576611, 70.273439, 83.803091, 87.742100, 95.933511, 96.639756, 122.449088, 132.296468, 314.621558], [29.926192, 31.118241, 31.608612, 37.613191, 40.903053, 42.472763, 42.971670, 54.031103, 61.105969, 182.339063], [92.011939, 93.015622, 97.340420, 115.492318, 123.447918, 131.538018, 132.268539, 166.877769, 185.511643, 426.103485]]
### 10
fourier: [[107.446237, 108.414491, 113.555719, 132.674622, 144.615247, 152.136144, 154.345584, 194.405894, 216.727431, 500.883767]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.698856920003891, "train_acc": 0.42, "val_loss": 0.6324793100357056, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6070034205913544, "train_acc": 0.57, "val_loss": 0.5204991698265076, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.612680047750473, "train_acc": 0.55, "val_loss": 0.6552725434303284, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6469053030014038, "train_acc": 0.605, "val_loss": 0.5345554947853088, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5001986473798752, "train_acc": 0.77, "val_loss": 0.3649299740791321, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3912154585123062, "train_acc": 0.81, "val_loss": 0.35017022490501404, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.43997757136821747, "train_acc": 0.83, "val_loss": 0.28577765822410583, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.368545725941658, "train_acc": 0.845, "val_loss": 0.31468382477760315, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.34613552689552307, "train_acc": 0.86, "val_loss": 0.3037128150463104, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3569548428058624, "train_acc": 0.865, "val_loss": 0.27101078629493713, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.34464457631111145, "train_acc": 0.87, "val_loss": 0.2521286904811859, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3466245234012604, "train_acc": 0.865, "val_loss": 0.2415158450603485, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6324793100357056, "final_val_loss": 0.5204991698265076, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6552725434303284, "final_val_loss": 0.2415158450603485, "initial_val_acc": 0.58, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
248
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{"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6541, "learning_rate": 0.07647337574476622, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.32165,
-0.144761,
-0.364278,
0.304881,
-0.219069
],
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## Activation Signature
### 0
fourier: [[11.914701, 11.954813, 12.866374, 13.008158, 13.532342, 14.490696, 14.893782, 17.821107, 20.108312, 61.520004], [27.578997, 28.751781, 28.827571, 30.941790, 34.987816, 35.722348, 35.749077, 39.084013, 42.510578, 304.790152], [25.192929, 25.337086, 27.590155, 28.816352, 34.202200, 35.360802, 37.103045, 37.177523, 38.301967, 81.165359], [29.388382, 31.196029, 31.865113, 33.959473, 35.345951, 37.093634, 37.826537, 41.090557, 45.281043, 174.865653], [14.188666, 14.525381, 15.045787, 15.561763, 15.698122, 15.834461, 16.815491, 17.147072, 17.300168, 97.088960], [10.220560, 11.055449, 11.340561, 11.889784, 12.771464, 13.160782, 13.997441, 14.064444, 16.016319, 84.556028], [18.559014, 18.832179, 18.850806, 19.258990, 20.841447, 22.982460, 23.764845, 24.918219, 26.809987, 43.809050]]
### 2
fourier: [[12.033049, 12.073067, 12.981900, 14.031217, 14.428603, 14.934817, 15.809808, 17.070387, 17.079574, 128.312241], [6.533051, 6.559571, 6.978910, 7.539502, 8.217327, 8.497184, 10.124252, 10.427566, 11.689061, 11.801838], [14.210790, 14.798809, 16.075556, 16.261925, 16.835537, 17.214417, 18.951149, 21.661718, 21.676354, 130.044457], [4.403513, 4.686621, 4.955968, 4.957045, 5.239417, 5.367609, 6.398655, 6.664085, 7.267300, 9.441511], [6.521273, 6.949221, 7.202109, 7.485197, 7.555214, 8.488096, 10.052867, 10.054987, 10.992241, 11.647799], [8.226893, 8.320786, 8.625731, 8.651774, 8.796738, 9.412392, 11.727504, 14.811207, 15.351856, 34.511315], [7.371422, 7.805305, 8.025773, 8.165710, 8.457318, 8.691852, 8.768583, 8.868878, 9.087254, 42.984628]]
### 4
fourier: [[9.062334, 9.346971, 9.602761, 10.199946, 10.589918, 10.844127, 10.956303, 12.884664, 14.039569, 97.800644], [2.163691, 2.251057, 2.532053, 2.665279, 2.737054, 2.806827, 2.813929, 3.417672, 3.724335, 33.353482], [6.255613, 6.342225, 6.608872, 7.149166, 7.290020, 7.410055, 7.864401, 8.060540, 8.893378, 8.934767], [3.406316, 3.448925, 3.467239, 3.710030, 3.836596, 4.092449, 4.149283, 4.321008, 4.678355, 7.534423], [5.344719, 5.402841, 5.582542, 5.648406, 5.667770, 6.136304, 6.406764, 7.240829, 8.296073, 33.797379], [10.099232, 10.215154, 10.222067, 10.222307, 10.897678, 11.031546, 11.043736, 11.572348, 13.664751, 14.715881], [14.224447, 14.556050, 15.149913, 15.249075, 16.271168, 16.467638, 17.022922, 20.618539, 21.620477, 90.555735]]
### 6
fourier: [[4.068872, 4.103582, 4.257514, 4.269288, 4.318324, 4.335007, 4.398911, 5.251827, 5.633632, 21.135669], [16.312799, 16.651320, 16.979738, 17.229739, 18.066362, 18.521234, 19.312366, 22.626149, 25.241941, 119.665284], [10.323885, 10.510846, 10.600821, 11.159794, 11.531461, 11.762529, 12.174540, 14.361625, 16.127852, 22.181926], [16.228383, 16.437074, 16.954090, 17.324333, 18.014035, 18.272851, 19.679774, 23.372439, 25.482792, 115.847343], [8.278633, 8.335286, 8.461682, 8.721045, 9.175215, 9.337980, 9.342592, 10.772995, 12.148114, 41.121155], [8.965034, 9.002709, 9.027404, 9.091317, 9.335872, 9.626563, 9.933592, 10.591063, 12.349565, 33.646000], [8.684143, 8.810330, 9.042554, 9.160844, 9.451536, 9.570578, 10.306448, 12.144221, 13.357392, 45.314964]]
### 8
fourier: [[3.651119, 3.669192, 3.687713, 3.721883, 3.775475, 3.825246, 4.042382, 4.235032, 5.117407, 5.796763], [11.865929, 11.866780, 12.028404, 12.086331, 12.745183, 13.219586, 14.152624, 17.285729, 19.115530, 35.403349], [25.929200, 25.939935, 26.010194, 26.130801, 28.049195, 29.384518, 31.237440, 37.441689, 41.655189, 165.719647], [25.321595, 25.744364, 26.025792, 26.058823, 27.796504, 30.512707, 31.377031, 37.851775, 41.856281, 159.294624], [3.768201, 3.793687, 3.814191, 3.878386, 3.893123, 4.097735, 4.122158, 4.145356, 4.758079, 5.372340], [11.919314, 12.080117, 12.089916, 12.184841, 13.160565, 13.213281, 14.453092, 17.162497, 19.178569, 81.906388], [3.690144, 3.840537, 3.981720, 4.042037, 4.141698, 4.860048, 5.343417, 6.157602, 6.467589, 19.686815]]
### 10
fourier: [[32.463934, 34.414083, 34.996995, 35.239142, 36.153716, 42.479465, 43.561437, 50.943367, 56.963202, 172.273564]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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## Activation Signature
### 0
fourier: [[11.914701, 11.954813, 12.866374, 13.008158, 13.532342, 14.490696, 14.893782, 17.821107, 20.108312, 61.520004], [27.578997, 28.751781, 28.827571, 30.941790, 34.987816, 35.722348, 35.749077, 39.084013, 42.510578, 304.790152], [25.192929, 25.337086, 27.590155, 28.816352, 34.202200, 35.360802, 37.103045, 37.177523, 38.301967, 81.165359], [29.388382, 31.196029, 31.865113, 33.959473, 35.345951, 37.093634, 37.826537, 41.090557, 45.281043, 174.865653], [14.188666, 14.525381, 15.045787, 15.561763, 15.698122, 15.834461, 16.815491, 17.147072, 17.300168, 97.088960], [10.220560, 11.055449, 11.340561, 11.889784, 12.771464, 13.160782, 13.997441, 14.064444, 16.016319, 84.556028], [18.559014, 18.832179, 18.850806, 19.258990, 20.841447, 22.982460, 23.764845, 24.918219, 26.809987, 43.809050]]
### 2
fourier: [[12.033049, 12.073067, 12.981900, 14.031217, 14.428603, 14.934817, 15.809808, 17.070387, 17.079574, 128.312241], [6.533051, 6.559571, 6.978910, 7.539502, 8.217327, 8.497184, 10.124252, 10.427566, 11.689061, 11.801838], [14.210790, 14.798809, 16.075556, 16.261925, 16.835537, 17.214417, 18.951149, 21.661718, 21.676354, 130.044457], [4.403513, 4.686621, 4.955968, 4.957045, 5.239417, 5.367609, 6.398655, 6.664085, 7.267300, 9.441511], [6.521273, 6.949221, 7.202109, 7.485197, 7.555214, 8.488096, 10.052867, 10.054987, 10.992241, 11.647799], [8.226893, 8.320786, 8.625731, 8.651774, 8.796738, 9.412392, 11.727504, 14.811207, 15.351856, 34.511315], [7.371422, 7.805305, 8.025773, 8.165710, 8.457318, 8.691852, 8.768583, 8.868878, 9.087254, 42.984628]]
### 4
fourier: [[9.062334, 9.346971, 9.602761, 10.199946, 10.589918, 10.844127, 10.956303, 12.884664, 14.039569, 97.800644], [2.163691, 2.251057, 2.532053, 2.665279, 2.737054, 2.806827, 2.813929, 3.417672, 3.724335, 33.353482], [6.255613, 6.342225, 6.608872, 7.149166, 7.290020, 7.410055, 7.864401, 8.060540, 8.893378, 8.934767], [3.406316, 3.448925, 3.467239, 3.710030, 3.836596, 4.092449, 4.149283, 4.321008, 4.678355, 7.534423], [5.344719, 5.402841, 5.582542, 5.648406, 5.667770, 6.136304, 6.406764, 7.240829, 8.296073, 33.797379], [10.099232, 10.215154, 10.222067, 10.222307, 10.897678, 11.031546, 11.043736, 11.572348, 13.664751, 14.715881], [14.224447, 14.556050, 15.149913, 15.249075, 16.271168, 16.467638, 17.022922, 20.618539, 21.620477, 90.555735]]
### 6
fourier: [[4.068872, 4.103582, 4.257514, 4.269288, 4.318324, 4.335007, 4.398911, 5.251827, 5.633632, 21.135669], [16.312799, 16.651320, 16.979738, 17.229739, 18.066362, 18.521234, 19.312366, 22.626149, 25.241941, 119.665284], [10.323885, 10.510846, 10.600821, 11.159794, 11.531461, 11.762529, 12.174540, 14.361625, 16.127852, 22.181926], [16.228383, 16.437074, 16.954090, 17.324333, 18.014035, 18.272851, 19.679774, 23.372439, 25.482792, 115.847343], [8.278633, 8.335286, 8.461682, 8.721045, 9.175215, 9.337980, 9.342592, 10.772995, 12.148114, 41.121155], [8.965034, 9.002709, 9.027404, 9.091317, 9.335872, 9.626563, 9.933592, 10.591063, 12.349565, 33.646000], [8.684143, 8.810330, 9.042554, 9.160844, 9.451536, 9.570578, 10.306448, 12.144221, 13.357392, 45.314964]]
### 8
fourier: [[3.651119, 3.669192, 3.687713, 3.721883, 3.775475, 3.825246, 4.042382, 4.235032, 5.117407, 5.796763], [11.865929, 11.866780, 12.028404, 12.086331, 12.745183, 13.219586, 14.152624, 17.285729, 19.115530, 35.403349], [25.929200, 25.939935, 26.010194, 26.130801, 28.049195, 29.384518, 31.237440, 37.441689, 41.655189, 165.719647], [25.321595, 25.744364, 26.025792, 26.058823, 27.796504, 30.512707, 31.377031, 37.851775, 41.856281, 159.294624], [3.768201, 3.793687, 3.814191, 3.878386, 3.893123, 4.097735, 4.122158, 4.145356, 4.758079, 5.372340], [11.919314, 12.080117, 12.089916, 12.184841, 13.160565, 13.213281, 14.453092, 17.162497, 19.178569, 81.906388], [3.690144, 3.840537, 3.981720, 4.042037, 4.141698, 4.860048, 5.343417, 6.157602, 6.467589, 19.686815]]
### 10
fourier: [[32.463934, 34.414083, 34.996995, 35.239142, 36.153716, 42.479465, 43.561437, 50.943367, 56.963202, 172.273564]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [[0.32165, -0.144761, -0.364278, 0.304881, -0.219069], [0.311437, -0.72912, -0.171198, -0.671471, -0.150969], [-0.383903, 0.315737, -0.492033, 0.375668, -0.469289], [-0.86732, 0.279654, 0.465958, 0.580871, 0.491147], [-0.219619, 0.087627, -0.021429, -0.479639, 0.332692], [0.042123, -0.23626, -0.191656, -0.213898, 0.161755], [0.370641, 0.432925, -0.205237, -0.371458, -0.393782]], "network.0.bias": [-0.442721, -0.461765, -0.198439, -0.312034, -0.302134, 0.098131, -0.025941], "network.2.weight": [[0.69955, 0.454663, -0.559925, 0.484586, 0.554783, 0.253562, 0.904509], [-0.802899, -0.255294, 0.085523, -0.181592, -0.540692, 0.118424, -0.601731], [-0.334562, 0.06172, 0.079237, -0.616621, -0.101647, 0.197947, -0.253176], [-0.00651, -0.389149, 0.209125, -0.048487, -0.249129, -0.236723, -0.479515], [-0.271946, 0.12383, 0.612801, 0.030285, -0.486972, -0.180493, -0.31392], [-0.488536, 0.017976, -0.489393, -0.179803, -0.332862, -0.182248, -0.551994], [0.474122, 0.127436, -0.307856, 0.278944, -0.33703, 0.088195, 0.568532]], "network.2.bias": [0.3049, 0.413706, -0.04518, 0.17624, -0.261074, 0.280513, -0.216091], "network.4.weight": [[0.473983, -0.278763, -0.014133, -0.169799, -0.170762, -0.333128, 0.329118], [-0.051892, 0.322738, -0.236649, -0.065598, 0.369751, -0.129476, -0.090132], [-0.22462, 0.18757, -0.023803, 0.120426, 0.000284, 0.480957, -0.363997], [0.095538, -0.445971, -0.239219, 0.175166, -0.138338, 0.065644, 0.227069], [0.150991, -0.061849, -0.42013, 0.090588, -0.352827, -0.588212, 0.352932], [-0.154708, 0.760301, -0.208186, -0.100344, 0.434724, 0.420444, -0.938882], [0.675986, -0.594678, -0.019854, -0.010016, -0.391201, 0.032416, 0.751884]], "network.4.bias": [0.337805, -0.309636, 0.343231, -0.301596, 0.004539, 0.533332, -0.171726], "network.6.weight": [[-0.209435, 0.489299, 0.282459, -0.1102, -0.385549, 0.325934, 0.180487], [0.35227, -0.059849, -0.219369, 0.260665, 0.051789, -0.598104, 0.693275], [0.32122, -0.003302, -0.38954, -0.106795, 0.401172, -0.20748, 0.302153], [0.557837, 0.39878, -0.265603, -0.101001, 0.163333, -0.001217, 0.73478], [0.427456, -0.009619, -0.04728, 0.523718, -0.178449, -0.427835, 0.148034], [0.153042, -0.254808, -0.137477, 0.267101, 0.28095, -0.727625, 0.128036], [-0.064299, -0.050456, -0.346122, 0.433518, 0.071664, -0.131087, 0.511342]], "network.6.bias": [0.347894, 0.392071, -0.440458, -0.008325, 0.034735, 0.143418, 0.067049], "network.8.weight": [[0.445088, -0.136122, -0.444752, -0.045723, 0.064479, 0.105739, 0.34327], [-0.57676, 0.294322, 0.724371, 0.029228, -0.412473, 0.214596, 0.181832], [-0.308957, 0.592671, 0.313177, 0.356309, 0.151831, 0.462144, 0.500257], [0.040389, 0.519697, 0.66151, 0.498544, 0.151253, 0.412255, 0.145371], [-0.531269, 0.13424, -0.117618, -0.04764, 0.15274, -0.209188, 0.279024], [-0.217275, 0.453914, 0.204715, 0.103348, 0.349678, -0.168368, -0.036494], [-0.04404, -0.122494, -0.525246, -0.020434, 0.212355, 0.148257, -0.019168]], "network.8.bias": [0.053942, -0.196372, 0.04612, -0.1098, -0.063381, 0.066665, 0.031194], "network.10.weight": [[0.1233, -0.386119, -0.568031, -0.48183, 0.056122, -0.356442, 0.137363]], "network.10.bias": [0.534231]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6849904954433441, "train_acc": 0.465, "val_loss": 0.7386872172355652, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6449237763881683, "train_acc": 0.575, "val_loss": 0.6162315607070923, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5686836540699005, "train_acc": 0.515, "val_loss": 0.45282143354415894, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41228538751602173, "train_acc": 0.87, "val_loss": 0.27051499485969543, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7275524735450745, "train_acc": 0.9, "val_loss": 0.23912246525287628, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2593080401420593, "train_acc": 0.92, "val_loss": 0.3599841296672821, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3167029470205307, "train_acc": 0.875, "val_loss": 0.4093073606491089, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.35784538090229034, "train_acc": 0.84, "val_loss": 0.3670886158943176, "val_acc": 0.86}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7386872172355652, "final_val_loss": 0.6162315607070923, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.45282143354415894, "final_val_loss": 0.3670886158943176, "initial_val_acc": 0.84, "final_val_acc": 0.86, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
249
|
{"target_pattern": "mountain_pattern", "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": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1033, "learning_rate": 0.07366565805769437, "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
fourier: [[48.895665, 49.214915, 50.138449, 55.776075, 56.485260, 56.549724, 59.265748, 62.194016, 69.936834, 245.099697], [28.613743, 29.286136, 29.397430, 32.209835, 34.521554, 38.484939, 39.361893, 39.489393, 42.203222, 136.925139], [50.086756, 54.636382, 60.451269, 63.782111, 65.852721, 66.195891, 69.946712, 74.098378, 86.950860, 162.462809], [48.778523, 54.418836, 58.778057, 62.896200, 62.924863, 64.027728, 65.786660, 69.257789, 77.080347, 222.663682], [37.772214, 38.782065, 39.035682, 39.275065, 39.310245, 39.435230, 40.567005, 40.963620, 49.687549, 67.603903], [30.054285, 30.606825, 33.449860, 33.631104, 34.047730, 35.760835, 38.177050, 38.796018, 41.212950, 46.127278], [27.088556, 27.224938, 28.055230, 28.561803, 29.687295, 29.823894, 30.111901, 30.569756, 30.890081, 133.461400]]
### 2
fourier: [[29.707169, 29.876570, 30.343809, 36.665541, 37.632790, 39.749025, 42.216533, 47.165078, 47.408555, 268.826480], [32.027260, 33.253163, 33.732621, 41.552692, 42.024025, 43.011455, 47.938519, 51.312528, 55.245747, 316.970143], [44.819185, 47.695101, 48.457984, 59.089621, 59.474409, 61.213387, 68.857255, 76.517547, 78.559944, 412.166877], [127.630813, 139.160468, 160.226905, 166.155016, 167.647030, 174.432911, 178.150827, 187.026897, 201.740196, 706.285961], [61.336696, 62.555448, 63.203943, 63.370472, 63.961112, 68.216536, 78.776485, 82.622793, 104.524725, 150.879734], [117.354475, 121.974577, 153.799998, 154.177691, 157.021507, 168.359430, 170.022155, 170.778134, 170.983777, 739.878610], [14.336830, 14.465790, 14.497979, 14.711594, 15.592801, 15.686248, 15.701695, 15.718142, 24.009902, 57.110863]]
### 4
fourier: [[191.321695, 206.901575, 249.782157, 252.648687, 255.164052, 274.682358, 274.991424, 281.201043, 295.398140, 1137.162610], [171.877592, 188.700321, 220.338423, 225.176297, 225.621160, 240.959087, 242.603093, 253.047493, 272.260862, 981.532779], [17.788807, 18.339332, 22.076137, 22.131877, 22.288264, 23.946679, 24.256010, 24.961845, 25.350696, 134.813915], [125.050462, 139.435759, 162.061067, 165.748359, 166.038015, 175.827167, 179.269549, 185.853364, 202.378760, 722.730220], [155.048851, 171.229567, 201.573079, 205.382225, 206.257551, 219.497437, 222.617156, 229.910132, 247.555827, 892.982147], [36.970797, 38.338866, 47.088616, 47.484549, 47.843740, 48.511182, 51.520114, 52.459478, 54.857869, 288.963542], [119.759866, 120.393116, 151.978962, 152.095857, 154.617234, 166.120020, 167.540133, 169.303163, 170.926190, 751.388007]]
### 6
fourier: [[61.290284, 66.053146, 79.188273, 79.869206, 80.106912, 86.456764, 87.446271, 89.932321, 94.440025, 369.642159], [457.834498, 492.991276, 590.271404, 595.464037, 596.760807, 643.923995, 652.194016, 671.395888, 704.819815, 2683.706880], [49.963901, 54.199584, 64.677168, 64.826531, 64.945376, 70.471385, 71.255473, 73.716604, 77.646698, 336.776524], [152.113589, 163.711488, 196.297012, 198.058499, 198.364082, 213.928735, 216.916128, 223.165968, 234.223380, 827.075027], [258.705291, 278.637318, 333.152875, 335.958607, 336.396131, 363.232495, 368.126272, 379.444904, 398.399337, 1532.037768], [135.159616, 145.545114, 175.331422, 177.045574, 178.032963, 191.715173, 193.571309, 198.244355, 208.067899, 809.958816], [128.090804, 137.603760, 165.244654, 166.983601, 167.657160, 180.381017, 182.712657, 187.530789, 196.635983, 762.140598]]
### 8
fourier: [[216.703505, 233.345915, 279.379749, 281.834839, 282.460402, 304.771955, 308.697058, 317.794991, 333.579641, 1284.213492], [116.718380, 125.662516, 150.568818, 151.918865, 152.135942, 164.273916, 166.278804, 171.085340, 179.949121, 720.506032], [26.248294, 28.204011, 34.070944, 34.193060, 34.451099, 37.232847, 37.400589, 38.258669, 41.144513, 88.813021], [137.253020, 147.862182, 176.601704, 178.059000, 178.889742, 192.583744, 195.463966, 201.574374, 210.242205, 821.511058], [271.224045, 291.956929, 350.115450, 353.324373, 353.522717, 382.036931, 386.416260, 397.349112, 418.864888, 1574.271992], [154.767201, 166.668629, 199.454013, 201.185269, 201.728855, 217.565987, 220.457327, 227.031381, 238.010653, 926.148741], [112.190792, 120.840340, 144.472566, 145.695896, 146.230114, 157.569324, 159.792505, 164.669888, 172.200730, 656.488963]]
### 10
fourier: [[144.148247, 155.069512, 185.920675, 187.657444, 188.227985, 202.641905, 205.809454, 211.707434, 222.148138, 782.438927]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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## Activation Signature
### 0
fourier: [[48.895665, 49.214915, 50.138449, 55.776075, 56.485260, 56.549724, 59.265748, 62.194016, 69.936834, 245.099697], [28.613743, 29.286136, 29.397430, 32.209835, 34.521554, 38.484939, 39.361893, 39.489393, 42.203222, 136.925139], [50.086756, 54.636382, 60.451269, 63.782111, 65.852721, 66.195891, 69.946712, 74.098378, 86.950860, 162.462809], [48.778523, 54.418836, 58.778057, 62.896200, 62.924863, 64.027728, 65.786660, 69.257789, 77.080347, 222.663682], [37.772214, 38.782065, 39.035682, 39.275065, 39.310245, 39.435230, 40.567005, 40.963620, 49.687549, 67.603903], [30.054285, 30.606825, 33.449860, 33.631104, 34.047730, 35.760835, 38.177050, 38.796018, 41.212950, 46.127278], [27.088556, 27.224938, 28.055230, 28.561803, 29.687295, 29.823894, 30.111901, 30.569756, 30.890081, 133.461400]]
### 2
fourier: [[29.707169, 29.876570, 30.343809, 36.665541, 37.632790, 39.749025, 42.216533, 47.165078, 47.408555, 268.826480], [32.027260, 33.253163, 33.732621, 41.552692, 42.024025, 43.011455, 47.938519, 51.312528, 55.245747, 316.970143], [44.819185, 47.695101, 48.457984, 59.089621, 59.474409, 61.213387, 68.857255, 76.517547, 78.559944, 412.166877], [127.630813, 139.160468, 160.226905, 166.155016, 167.647030, 174.432911, 178.150827, 187.026897, 201.740196, 706.285961], [61.336696, 62.555448, 63.203943, 63.370472, 63.961112, 68.216536, 78.776485, 82.622793, 104.524725, 150.879734], [117.354475, 121.974577, 153.799998, 154.177691, 157.021507, 168.359430, 170.022155, 170.778134, 170.983777, 739.878610], [14.336830, 14.465790, 14.497979, 14.711594, 15.592801, 15.686248, 15.701695, 15.718142, 24.009902, 57.110863]]
### 4
fourier: [[191.321695, 206.901575, 249.782157, 252.648687, 255.164052, 274.682358, 274.991424, 281.201043, 295.398140, 1137.162610], [171.877592, 188.700321, 220.338423, 225.176297, 225.621160, 240.959087, 242.603093, 253.047493, 272.260862, 981.532779], [17.788807, 18.339332, 22.076137, 22.131877, 22.288264, 23.946679, 24.256010, 24.961845, 25.350696, 134.813915], [125.050462, 139.435759, 162.061067, 165.748359, 166.038015, 175.827167, 179.269549, 185.853364, 202.378760, 722.730220], [155.048851, 171.229567, 201.573079, 205.382225, 206.257551, 219.497437, 222.617156, 229.910132, 247.555827, 892.982147], [36.970797, 38.338866, 47.088616, 47.484549, 47.843740, 48.511182, 51.520114, 52.459478, 54.857869, 288.963542], [119.759866, 120.393116, 151.978962, 152.095857, 154.617234, 166.120020, 167.540133, 169.303163, 170.926190, 751.388007]]
### 6
fourier: [[61.290284, 66.053146, 79.188273, 79.869206, 80.106912, 86.456764, 87.446271, 89.932321, 94.440025, 369.642159], [457.834498, 492.991276, 590.271404, 595.464037, 596.760807, 643.923995, 652.194016, 671.395888, 704.819815, 2683.706880], [49.963901, 54.199584, 64.677168, 64.826531, 64.945376, 70.471385, 71.255473, 73.716604, 77.646698, 336.776524], [152.113589, 163.711488, 196.297012, 198.058499, 198.364082, 213.928735, 216.916128, 223.165968, 234.223380, 827.075027], [258.705291, 278.637318, 333.152875, 335.958607, 336.396131, 363.232495, 368.126272, 379.444904, 398.399337, 1532.037768], [135.159616, 145.545114, 175.331422, 177.045574, 178.032963, 191.715173, 193.571309, 198.244355, 208.067899, 809.958816], [128.090804, 137.603760, 165.244654, 166.983601, 167.657160, 180.381017, 182.712657, 187.530789, 196.635983, 762.140598]]
### 8
fourier: [[216.703505, 233.345915, 279.379749, 281.834839, 282.460402, 304.771955, 308.697058, 317.794991, 333.579641, 1284.213492], [116.718380, 125.662516, 150.568818, 151.918865, 152.135942, 164.273916, 166.278804, 171.085340, 179.949121, 720.506032], [26.248294, 28.204011, 34.070944, 34.193060, 34.451099, 37.232847, 37.400589, 38.258669, 41.144513, 88.813021], [137.253020, 147.862182, 176.601704, 178.059000, 178.889742, 192.583744, 195.463966, 201.574374, 210.242205, 821.511058], [271.224045, 291.956929, 350.115450, 353.324373, 353.522717, 382.036931, 386.416260, 397.349112, 418.864888, 1574.271992], [154.767201, 166.668629, 199.454013, 201.185269, 201.728855, 217.565987, 220.457327, 227.031381, 238.010653, 926.148741], [112.190792, 120.840340, 144.472566, 145.695896, 146.230114, 157.569324, 159.792505, 164.669888, 172.200730, 656.488963]]
### 10
fourier: [[144.148247, 155.069512, 185.920675, 187.657444, 188.227985, 202.641905, 205.809454, 211.707434, 222.148138, 782.438927]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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[26.24829386105369, 28.20401058690385, 34.07094385050872, 34.19305954344975, 34.451099194986966, 37.23284663471971, 37.40058896883746, 38.258669499895326, 41.14451271020912, 88.81302079558372]}, "3": {"fourier": [137.2530197349011, 147.86218163152722, 176.6017044907613, 178.05900021832102, 178.8897420410973, 192.5837435080469, 195.463965552387, 201.57437419254484, 210.24220523586342, 821.5110579133034]}, "4": {"fourier": [271.2240445670449, 291.95692874304365, 350.11544961085684, 353.32437288932147, 353.52271666879176, 382.0369309644927, 386.41625964482336, 397.34911231810383, 418.8648879348978, 1574.2719921767712]}, "5": {"fourier": [154.76720118919084, 166.66862939306608, 199.45401291009514, 201.18526879343128, 201.72885472397343, 217.56598672027582, 220.4573271509226, 227.03138139053112, 238.0106530847171, 926.1487414240837]}, "6": {"fourier": [112.19079166241899, 120.84034036224661, 144.47256573969287, 145.69589572980018, 146.23011361783313, 157.56932361390508, 159.79250542586408, 164.66988810995727, 172.200730026598, 656.48896291852]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [144.14824680212746, 155.06951155125265, 185.92067496656568, 187.6574438923977, 188.22798473242526, 202.64190512335824, 205.80945399694005, 211.70743354957483, 222.1481383283591, 782.4389272928238]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[1.445321, 0.828663, -0.012186, -0.420852, -0.237594], [0.744498, 0.648711, -0.0287, -0.082031, -0.625291], [1.568635, 0.283062, 0.12142, -0.76483, 0.676442], [1.721521, 0.600029, -0.448114, -0.137529, 0.500489], [-0.84692, -0.65609, 0.156474, 0.652156, 0.734583], [-0.890206, -0.612291, 0.184109, 0.598051, 0.179123], [0.375488, -0.644259, -0.207131, -0.409207, 0.494594]], "network.0.bias": [0.635682, 0.419861, -0.110514, -0.147968, 0.369287, 0.207076, -0.075997], "network.2.weight": [[-0.277772, 0.142132, -0.508502, -0.055768, -0.267037, -0.329342, 0.683103], [-0.142143, -0.158909, -0.207523, -0.36623, -0.298661, -0.52521, -0.191978], [-0.598042, 0.125584, -0.402391, -0.236657, -0.704882, -0.232288, 0.060549], [0.916905, 0.969396, 0.68004, 0.746689, -0.293975, -0.514224, 0.585939], [-0.536083, -0.167822, -0.480528, 0.026338, 0.331095, 0.805373, -0.718951], [0.898807, 0.612484, 0.688121, 0.815158, 0.001596, 0.071191, 0.419905], [0.393373, -0.457376, -0.265679, 0.113919, -0.608669, 0.051412, -0.155693]], "network.2.bias": [-0.489948, -0.391046, -0.210089, 0.586626, 0.205598, 0.511574, 0.254705], "network.4.weight": [[0.030494, -0.08334, 0.107309, 0.50585, -0.408282, 1.081758, 0.420543], [-0.356517, 0.529521, 0.037231, 0.679082, -0.67275, 0.700398, 0.996281], [-0.131913, -0.010114, 0.0813, -0.203155, -0.128295, 0.065553, 0.292234], [-0.075797, -0.054393, 0.294111, 0.352792, -0.672591, 0.669899, 0.39933], [0.062979, 0.336002, -0.051649, 0.456354, -0.664916, 0.819417, 0.227943], [-0.09774, -0.402556, -0.096244, -0.068327, -0.266667, -0.239397, -0.263441], [0.026058, 0.330336, -0.512503, -0.523847, -0.366739, -0.438752, -0.292383]], "network.4.bias": [-0.00768, 0.180452, -0.312801, 0.254582, 0.094151, -0.415211, -0.144744], "network.6.weight": [[-0.122802, -0.071659, 0.175095, -0.204581, 0.002986, -0.017365, 0.179612], [0.641457, 0.912039, -0.168933, 0.784491, 0.499253, -0.495212, 0.206912], [0.025567, 0.103437, -0.284748, -0.385192, -0.154541, -0.040241, -0.120185], [-0.115733, -0.270802, 0.232337, 0.200202, -0.693129, -0.156659, 0.593283], [-0.226892, -0.559227, -0.136208, -0.4217, -0.417183, -0.501494, 0.056555], [-0.475026, -0.069163, 0.044323, -0.393856, 0.11233, -0.054549, 0.58622], [-0.295086, -0.356274, -0.233693, 0.100174, -0.144048, -0.316839, -0.35085]], "network.6.bias": [-0.095235, 0.011233, -0.47622, 0.657143, -0.221766, -0.093316, -0.128862], "network.8.weight": [[0.268909, -0.473339, 0.386674, -0.014291, 0.001634, 0.156725, 0.362376], [-0.109245, -0.254779, 0.082233, 0.137577, -0.10987, 0.044893, -0.061828], [0.290106, 0.056846, 0.133266, -0.394841, -0.238911, 0.352966, -0.244924], [0.083184, -0.300383, 0.208299, -0.539784, -0.02001, 0.575924, -0.374531], [-0.19368, 0.591616, -0.654824, -0.689303, 0.615895, -0.122374, 0.1358], [0.180835, -0.338186, -0.071622, -0.127915, -0.059343, 0.107699, 0.246527], [-0.237981, -0.24534, -0.009145, -0.26372, -0.526608, 0.25112, 0.286192]], "network.8.bias": [-0.152968, -0.423706, -0.664259, -0.110609, -0.072621, -0.191936, 0.050876], "network.10.weight": [[-0.101057, 0.164212, -0.157713, -0.181108, -0.518088, 0.056126, -0.048503]], "network.10.bias": [0.598336]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7033402025699615, "train_acc": 0.435, "val_loss": 0.6915722489356995, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6857381165027618, "train_acc": 0.565, "val_loss": 0.6905220150947571, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6738051772117615, "train_acc": 0.565, "val_loss": 0.6570339798927307, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6288160085678101, "train_acc": 0.565, "val_loss": 0.5583303570747375, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6405308246612549, "train_acc": 0.495, "val_loss": 0.477927565574646, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5253924876451492, "train_acc": 0.64, "val_loss": 0.5059871077537537, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5218062698841095, "train_acc": 0.81, "val_loss": 0.45267945528030396, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.46748746931552887, "train_acc": 0.845, "val_loss": 0.4212413430213928, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4308505356311798, "train_acc": 0.875, "val_loss": 0.38495802879333496, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.38061490654945374, "train_acc": 0.885, "val_loss": 0.3445447087287903, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3869597911834717, "train_acc": 0.85, "val_loss": 0.3428555727005005, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.39477983117103577, "train_acc": 0.845, "val_loss": 0.32728615403175354, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.35602280497550964, "train_acc": 0.85, "val_loss": 0.44042453169822693, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3493671864271164, "train_acc": 0.905, "val_loss": 0.40106287598609924, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6915722489356995, "final_val_loss": 0.5583303570747375, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.477927565574646, "final_val_loss": 0.40106287598609924, "initial_val_acc": 0.52, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
250
|
{"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.94, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8870, "learning_rate": 0.05181661447661619, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.682319,
-0.415325,
0.524812,
0.491552,
-0.143555
],
[
-0.29654,
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0.000285,
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0.047757
],
[
-0.635301,
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-1.07014,
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-0.60662
],
[
-0.329839,
0.877141,
0.001409,
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],
[
-0.093286,
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-0.231156,
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-0.265349
]
],
"network.0.bias": [
-0.454485,
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-0.317333
],
"network.2.weight": [
[
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-0.064552,
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],
[
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0.090555,
-0.184889
],
[
0.821893,
0.333855,
-0.454035,
0.169634,
0.976629
],
[
0.777653,
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1.037406
],
[
0.618249,
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0.56478
]
],
"network.2.bias": [
-0.690772,
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0.431324,
0.451664,
0.089634
],
"network.4.weight": [
[
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],
[
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0.162409,
-0.427982,
-0.227054
],
[
-0.344505,
1.010421,
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],
[
0.078922,
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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[
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],
[
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],
[
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],
"network.6.bias": [
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],
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[22.387995, 24.883871, 25.530838, 26.948577, 27.604214, 28.752295, 29.668523, 31.889659, 33.283603, 36.364318], [7.848852, 8.106460, 8.663661, 8.682662, 8.733899, 10.074100, 10.092560, 11.420943, 13.036581, 47.572697], [44.075087, 46.067403, 47.918147, 55.943404, 57.468808, 60.447766, 61.285399, 65.946963, 71.652044, 97.614675], [30.527099, 31.477544, 31.955067, 33.539463, 38.192498, 39.372267, 41.121375, 45.632262, 48.642003, 327.091854], [20.271698, 20.798158, 20.901047, 21.016827, 21.264228, 22.142937, 22.714377, 24.219328, 35.311707, 119.925726]]
### 2
fourier: [[12.384938, 12.699377, 12.731019, 14.085639, 15.512171, 16.424122, 17.789564, 22.595347, 23.385340, 68.620245], [14.345590, 14.539943, 15.377198, 15.949085, 16.011294, 16.890571, 19.203985, 19.945598, 22.946805, 90.509433], [13.989686, 14.955116, 15.183977, 16.514386, 17.211359, 19.459090, 20.434506, 21.250702, 24.250074, 116.227808], [28.430966, 30.859699, 31.388906, 31.430622, 32.809373, 36.216012, 37.469721, 37.865758, 39.455998, 322.240802], [15.901646, 16.370667, 17.013453, 18.119487, 19.383010, 20.413974, 21.035513, 21.482667, 25.175270, 163.327939]]
### 4
fourier: [[11.917196, 12.171275, 12.387665, 12.502432, 12.878266, 13.279281, 13.303268, 14.035411, 16.515050, 47.887924], [15.229361, 16.730799, 17.046334, 17.456629, 18.077382, 18.232054, 18.300705, 20.447009, 23.419745, 96.062272], [21.861030, 23.401349, 25.897123, 26.216061, 27.694086, 28.637496, 35.590283, 35.859655, 38.130652, 144.947491], [24.447785, 25.141491, 28.110083, 28.579400, 28.947479, 32.482574, 32.513701, 33.163060, 37.279426, 208.633347], [34.118438, 34.228120, 39.265321, 42.010535, 42.760238, 45.756746, 46.220953, 46.401717, 51.553697, 313.968380]]
### 6
fourier: [[46.139854, 47.067794, 50.555692, 54.802495, 61.964316, 62.243281, 64.108022, 68.168718, 72.134765, 249.419773], [36.853623, 36.998959, 38.039404, 47.219615, 49.529128, 49.774555, 52.085014, 52.135659, 53.646324, 351.881903], [26.852046, 28.437493, 30.499442, 30.615600, 32.469608, 32.532820, 32.888178, 41.533197, 46.082010, 286.610955], [16.027534, 16.751706, 17.178853, 20.568996, 22.018967, 22.063521, 22.310298, 22.846606, 22.965617, 55.661847], [39.188166, 39.401600, 42.658894, 49.235241, 53.852313, 54.681838, 55.012866, 56.538402, 58.706995, 239.334134]]
### 8
fourier: [[74.620106, 75.414138, 75.701940, 76.312672, 79.349589, 92.660917, 102.911631, 109.665303, 118.241302, 258.668433]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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[
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0.491552,
-0.143555
],
[
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0.000285,
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],
[
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-0.60662
],
[
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0.001409,
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],
[
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]
],
"network.0.bias": [
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],
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[
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],
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-0.184889
],
[
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0.976629
],
[
0.777653,
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1.037406
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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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-0.524444,
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]
],
"network.8.bias": [
0.996426
]
}
## Activation Signature
### 0
fourier: [[22.387995, 24.883871, 25.530838, 26.948577, 27.604214, 28.752295, 29.668523, 31.889659, 33.283603, 36.364318], [7.848852, 8.106460, 8.663661, 8.682662, 8.733899, 10.074100, 10.092560, 11.420943, 13.036581, 47.572697], [44.075087, 46.067403, 47.918147, 55.943404, 57.468808, 60.447766, 61.285399, 65.946963, 71.652044, 97.614675], [30.527099, 31.477544, 31.955067, 33.539463, 38.192498, 39.372267, 41.121375, 45.632262, 48.642003, 327.091854], [20.271698, 20.798158, 20.901047, 21.016827, 21.264228, 22.142937, 22.714377, 24.219328, 35.311707, 119.925726]]
### 2
fourier: [[12.384938, 12.699377, 12.731019, 14.085639, 15.512171, 16.424122, 17.789564, 22.595347, 23.385340, 68.620245], [14.345590, 14.539943, 15.377198, 15.949085, 16.011294, 16.890571, 19.203985, 19.945598, 22.946805, 90.509433], [13.989686, 14.955116, 15.183977, 16.514386, 17.211359, 19.459090, 20.434506, 21.250702, 24.250074, 116.227808], [28.430966, 30.859699, 31.388906, 31.430622, 32.809373, 36.216012, 37.469721, 37.865758, 39.455998, 322.240802], [15.901646, 16.370667, 17.013453, 18.119487, 19.383010, 20.413974, 21.035513, 21.482667, 25.175270, 163.327939]]
### 4
fourier: [[11.917196, 12.171275, 12.387665, 12.502432, 12.878266, 13.279281, 13.303268, 14.035411, 16.515050, 47.887924], [15.229361, 16.730799, 17.046334, 17.456629, 18.077382, 18.232054, 18.300705, 20.447009, 23.419745, 96.062272], [21.861030, 23.401349, 25.897123, 26.216061, 27.694086, 28.637496, 35.590283, 35.859655, 38.130652, 144.947491], [24.447785, 25.141491, 28.110083, 28.579400, 28.947479, 32.482574, 32.513701, 33.163060, 37.279426, 208.633347], [34.118438, 34.228120, 39.265321, 42.010535, 42.760238, 45.756746, 46.220953, 46.401717, 51.553697, 313.968380]]
### 6
fourier: [[46.139854, 47.067794, 50.555692, 54.802495, 61.964316, 62.243281, 64.108022, 68.168718, 72.134765, 249.419773], [36.853623, 36.998959, 38.039404, 47.219615, 49.529128, 49.774555, 52.085014, 52.135659, 53.646324, 351.881903], [26.852046, 28.437493, 30.499442, 30.615600, 32.469608, 32.532820, 32.888178, 41.533197, 46.082010, 286.610955], [16.027534, 16.751706, 17.178853, 20.568996, 22.018967, 22.063521, 22.310298, 22.846606, 22.965617, 55.661847], [39.188166, 39.401600, 42.658894, 49.235241, 53.852313, 54.681838, 55.012866, 56.538402, 58.706995, 239.334134]]
### 8
fourier: [[74.620106, 75.414138, 75.701940, 76.312672, 79.349589, 92.660917, 102.911631, 109.665303, 118.241302, 258.668433]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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118.24130155130152, 258.6684334874153]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.682319, -0.415325, 0.524812, 0.491552, -0.143555], [-0.29654, 0.136395, 0.000285, -0.191596, 0.047757], [-0.635301, 0.471221, -1.07014, 0.679314, -0.60662], [-0.329839, 0.877141, 0.001409, 0.717354, 0.338964], [-0.093286, -0.648985, -0.231156, 0.509983, -0.265349]], "network.0.bias": [-0.454485, -0.05673, 0.374138, 0.48715, -0.317333], "network.2.weight": [[0.688266, -0.937006, -0.503834, -0.064552, 0.357631], [-0.37351, -0.098055, 0.677826, 0.090555, -0.184889], [0.821893, 0.333855, -0.454035, 0.169634, 0.976629], [0.777653, -0.14472, -0.151903, 0.737526, 1.037406], [0.618249, -0.081973, -0.336831, 0.425003, 0.56478]], "network.2.bias": [-0.690772, 0.429887, 0.431324, 0.451664, 0.089634], "network.4.weight": [[-0.697398, 0.075714, 0.345827, -0.351303, -0.206103], [-0.719328, 0.168392, 0.162409, -0.427982, -0.227054], [-0.344505, 1.010421, -0.785603, 0.4721, 0.055728], [0.078922, -0.520611, 0.324658, 0.557877, 0.325639], [-0.121602, -0.780758, 0.671192, 0.757265, 0.353857]], "network.4.bias": [0.590255, 0.506432, -0.099511, -0.156917, 0.07072], "network.6.weight": [[-0.620209, -0.447382, -0.706468, 0.572532, 0.822263], [-0.287017, -0.087627, 0.233705, -0.53672, -0.680022], [0.059963, 0.080288, 1.153413, 0.117832, 0.241313], [-0.164798, -0.440334, -0.16137, 0.176944, 0.317266], [-0.49567, -0.733648, -0.475982, 0.296841, 0.865963]], "network.6.bias": [-0.240076, -0.681014, 0.245852, -0.616183, -0.233177], "network.8.weight": [[-1.003859, -0.714658, 0.592625, -0.524444, -0.704556]], "network.8.bias": [0.996426]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6865241527557373, "train_acc": 0.5, "val_loss": 0.735247015953064, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.632686972618103, "train_acc": 0.62, "val_loss": 0.6501844525337219, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5578116774559021, "train_acc": 0.71, "val_loss": 0.5059097409248352, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46979109942913055, "train_acc": 0.87, "val_loss": 0.4123987555503845, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.316150039434433, "train_acc": 0.93, "val_loss": 0.36933889985084534, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.23934144526720047, "train_acc": 0.96, "val_loss": 0.2796694040298462, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.21076077967882156, "train_acc": 0.94, "val_loss": 0.27837684750556946, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.15447057038545609, "train_acc": 0.955, "val_loss": 0.4725034832954407, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.174869105219841, "train_acc": 0.965, "val_loss": 0.22093670070171356, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.15481974929571152, "train_acc": 0.95, "val_loss": 0.20293483138084412, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.23214899003505707, "train_acc": 0.935, "val_loss": 0.266843318939209, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17108601331710815, "train_acc": 0.945, "val_loss": 0.27321600914001465, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.735247015953064, "final_val_loss": 0.6501844525337219, "initial_val_acc": 0.52, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.5059097409248352, "final_val_loss": 0.27321600914001465, "initial_val_acc": 0.82, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.29999999999999993, "first_improvement_epoch": 1}}
|
251
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 1.0, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4400, "learning_rate": 0.07231771973194938, "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: 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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]
],
"network.2.bias": [
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],
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0.039251,
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[
0.534881,
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0.372009,
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0.419236
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0.57166,
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0.632121,
0.628304
]
],
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0.046563,
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0.162739,
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"network.6.weight": [
[
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[
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0.277828,
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[
0.247029,
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[
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[
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}
## Activation Signature
### 0
fourier: [[14.005077, 14.516179, 14.630033, 15.895978, 16.855932, 17.739686, 18.068984, 18.522001, 19.610754, 45.230096], [18.959744, 19.533429, 19.636850, 19.834699, 22.105811, 22.690619, 24.428990, 32.130485, 34.852542, 45.490964], [22.087240, 22.519289, 23.731371, 24.428044, 25.741806, 26.102596, 27.680851, 28.027530, 37.802597, 73.432282], [13.470978, 13.556922, 13.968235, 14.209360, 14.320554, 14.890519, 15.578723, 16.206544, 16.410675, 16.678535], [17.027008, 17.810157, 19.155191, 20.422599, 21.027756, 21.548189, 21.632799, 21.871588, 24.178819, 166.735280], [19.365557, 20.639472, 21.766785, 22.814935, 22.923065, 25.103027, 27.059020, 28.455364, 29.678093, 40.427576]]
### 2
fourier: [[16.861564, 17.729551, 18.119415, 18.235604, 18.980525, 19.539723, 21.389854, 23.000920, 30.116869, 114.692706], [6.593169, 6.660190, 7.047493, 7.285518, 7.883487, 8.376741, 8.682760, 9.397163, 11.685466, 96.807384], [15.295497, 15.984268, 16.603431, 18.413305, 18.726906, 19.692417, 19.735371, 27.296295, 28.207421, 31.947476], [14.937074, 15.594304, 16.799370, 17.896743, 17.913066, 21.524937, 23.773491, 24.079813, 25.040300, 86.833902], [24.688203, 25.944174, 26.291913, 27.396057, 28.460644, 31.823693, 35.299987, 35.369259, 44.634723, 174.225181], [20.828621, 22.013864, 22.712227, 23.031711, 23.732510, 26.683410, 27.481555, 28.334206, 36.056767, 174.601086]]
### 4
fourier: [[28.890876, 29.189745, 30.231182, 30.311134, 32.297108, 35.925494, 38.758672, 43.872203, 49.676056, 220.669821], [39.966983, 40.803116, 44.884492, 45.492765, 46.264336, 51.905303, 57.788206, 59.055176, 73.197213, 311.544319], [23.938245, 24.102218, 24.637303, 24.875250, 27.321704, 29.082086, 30.482070, 36.041154, 41.512779, 147.478018], [3.559525, 3.578849, 3.594627, 3.620093, 3.879283, 4.005866, 4.108075, 4.232449, 5.700618, 6.765205], [26.947883, 28.008383, 31.436175, 31.915655, 32.760904, 35.379716, 38.342929, 39.130601, 51.562481, 232.743193], [38.921574, 40.633191, 42.989589, 43.852188, 45.618883, 50.451238, 54.007166, 59.577122, 72.014170, 272.743025]]
### 6
fourier: [[8.287040, 8.301325, 9.921698, 10.050546, 10.445082, 10.712586, 11.529652, 12.055627, 15.895715, 17.190829], [13.935433, 14.880833, 15.095024, 15.428471, 17.230050, 17.242583, 17.967996, 20.355792, 23.471829, 24.179826], [76.469475, 77.295647, 86.831553, 88.080031, 91.245271, 98.892606, 108.047365, 120.262847, 141.404029, 538.003477], [1.724413, 1.788629, 1.910136, 2.034797, 2.050568, 2.051928, 2.062916, 2.327482, 2.359096, 52.136052], [80.651225, 81.285632, 91.951562, 93.387180, 96.156700, 104.110846, 113.865095, 125.444491, 149.635121, 576.003890], [15.502670, 16.327211, 16.693855, 16.971122, 18.600446, 19.417175, 20.668032, 25.651884, 27.190486, 63.980532]]
### 8
fourier: [[99.504064, 102.957617, 117.063612, 118.100956, 123.646222, 130.221901, 143.230743, 159.912648, 188.686527, 689.765376]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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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"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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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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"network.6.bias": [
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[14.005077, 14.516179, 14.630033, 15.895978, 16.855932, 17.739686, 18.068984, 18.522001, 19.610754, 45.230096], [18.959744, 19.533429, 19.636850, 19.834699, 22.105811, 22.690619, 24.428990, 32.130485, 34.852542, 45.490964], [22.087240, 22.519289, 23.731371, 24.428044, 25.741806, 26.102596, 27.680851, 28.027530, 37.802597, 73.432282], [13.470978, 13.556922, 13.968235, 14.209360, 14.320554, 14.890519, 15.578723, 16.206544, 16.410675, 16.678535], [17.027008, 17.810157, 19.155191, 20.422599, 21.027756, 21.548189, 21.632799, 21.871588, 24.178819, 166.735280], [19.365557, 20.639472, 21.766785, 22.814935, 22.923065, 25.103027, 27.059020, 28.455364, 29.678093, 40.427576]]
### 2
fourier: [[16.861564, 17.729551, 18.119415, 18.235604, 18.980525, 19.539723, 21.389854, 23.000920, 30.116869, 114.692706], [6.593169, 6.660190, 7.047493, 7.285518, 7.883487, 8.376741, 8.682760, 9.397163, 11.685466, 96.807384], [15.295497, 15.984268, 16.603431, 18.413305, 18.726906, 19.692417, 19.735371, 27.296295, 28.207421, 31.947476], [14.937074, 15.594304, 16.799370, 17.896743, 17.913066, 21.524937, 23.773491, 24.079813, 25.040300, 86.833902], [24.688203, 25.944174, 26.291913, 27.396057, 28.460644, 31.823693, 35.299987, 35.369259, 44.634723, 174.225181], [20.828621, 22.013864, 22.712227, 23.031711, 23.732510, 26.683410, 27.481555, 28.334206, 36.056767, 174.601086]]
### 4
fourier: [[28.890876, 29.189745, 30.231182, 30.311134, 32.297108, 35.925494, 38.758672, 43.872203, 49.676056, 220.669821], [39.966983, 40.803116, 44.884492, 45.492765, 46.264336, 51.905303, 57.788206, 59.055176, 73.197213, 311.544319], [23.938245, 24.102218, 24.637303, 24.875250, 27.321704, 29.082086, 30.482070, 36.041154, 41.512779, 147.478018], [3.559525, 3.578849, 3.594627, 3.620093, 3.879283, 4.005866, 4.108075, 4.232449, 5.700618, 6.765205], [26.947883, 28.008383, 31.436175, 31.915655, 32.760904, 35.379716, 38.342929, 39.130601, 51.562481, 232.743193], [38.921574, 40.633191, 42.989589, 43.852188, 45.618883, 50.451238, 54.007166, 59.577122, 72.014170, 272.743025]]
### 6
fourier: [[8.287040, 8.301325, 9.921698, 10.050546, 10.445082, 10.712586, 11.529652, 12.055627, 15.895715, 17.190829], [13.935433, 14.880833, 15.095024, 15.428471, 17.230050, 17.242583, 17.967996, 20.355792, 23.471829, 24.179826], [76.469475, 77.295647, 86.831553, 88.080031, 91.245271, 98.892606, 108.047365, 120.262847, 141.404029, 538.003477], [1.724413, 1.788629, 1.910136, 2.034797, 2.050568, 2.051928, 2.062916, 2.327482, 2.359096, 52.136052], [80.651225, 81.285632, 91.951562, 93.387180, 96.156700, 104.110846, 113.865095, 125.444491, 149.635121, 576.003890], [15.502670, 16.327211, 16.693855, 16.971122, 18.600446, 19.417175, 20.668032, 25.651884, 27.190486, 63.980532]]
### 8
fourier: [[99.504064, 102.957617, 117.063612, 118.100956, 123.646222, 130.221901, 143.230743, 159.912648, 188.686527, 689.765376]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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1.9101364082894778, 2.034797140974638, 2.050567949929116, 2.051928224835771, 2.062916150998952, 2.327481755349964, 2.359095809653982, 52.13605237007141]}, "4": {"fourier": [80.65122455663955, 81.28563240564193, 91.95156222545825, 93.38718009054996, 96.15669984413564, 104.11084646865375, 113.8650952897081, 125.44449137614711, 149.6351209656338, 576.0038895606995]}, "5": {"fourier": [15.502670474114124, 16.327210616253094, 16.693855229358814, 16.97112205912229, 18.600446301984142, 19.417174860399438, 20.668031853133183, 25.65188420110659, 27.190485509349944, 63.98053249716759]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [99.50406445033751, 102.95761695434703, 117.0636121335755, 118.10095558920999, 123.64622232306878, 130.22190105429493, 143.23074322967824, 159.91264807068586, 188.6865266966285, 689.7653764411807]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.4208, -0.225935, 0.28134, 0.186507, 0.101827], [-0.377606, -0.631303, 0.378572, 0.265086, 0.219147], [-0.671699, 0.166668, 0.049552, 0.476861, -0.189854], [0.337868, 0.317696, -0.098413, -0.116058, -0.05759], [-0.40327, -0.112293, -0.298208, -0.067047, -0.030843], [-0.050167, -0.596376, 0.223163, -0.025555, 0.677806]], "network.0.bias": [0.324697, 0.496199, 0.456142, -0.291549, -0.341402, -0.230991], "network.2.weight": [[0.488125, 0.518373, 0.604263, -0.040156, -0.295702, 0.135863], [-0.228155, -0.361969, -0.203018, -0.236956, 0.570361, 0.006118], [0.61697, 0.325067, -0.684435, -0.38061, 0.147462, 0.530514], [-0.210548, -0.776623, 0.264808, 0.370459, 0.131327, -0.293261], [0.557698, 0.835438, 0.603202, -0.17149, -0.040944, 0.695914], [0.305913, 0.53007, 0.448011, -0.439752, -0.7125, 0.793058]], "network.2.bias": [-0.223568, -0.269773, -0.173913, -0.436299, -0.084961, 0.50086], "network.4.weight": [[0.068714, 0.306775, 0.314719, -0.0542, 0.335709, 0.820388], [0.409553, 0.493774, 0.093103, -0.06201, 0.802422, 0.711285], [0.158971, -0.059556, 0.337703, 0.438484, 0.251852, 0.607848], [-0.10702, 0.000185, -0.28267, 0.131094, 0.039251, 0.291502], [0.534881, 0.135013, -0.041413, 0.372009, 0.494107, 0.419236], [0.57166, -0.300013, 0.465633, 0.567226, 0.632121, 0.628304]], "network.4.bias": [0.046563, 0.028928, -0.363772, -0.480394, 0.162739, -0.355031], "network.6.weight": [[0.081166, -0.013177, 0.074201, 0.500096, 0.366625, -0.152154], [-0.240224, 0.124635, -0.269676, -0.47043, 0.277828, -0.336176], [0.247029, 0.602771, 0.531489, -0.036364, 0.1407, 0.798719], [0.480362, -0.2242, 0.075612, -0.390665, 0.391071, -0.391595], [0.167322, 0.477966, 0.470309, 0.138131, 0.430988, 0.913017], [0.001351, -0.182088, -0.374451, -0.113039, 0.346035, -0.237265]], "network.6.bias": [-0.545098, 0.691414, -0.387957, 0.268437, -0.325501, 0.381043], "network.8.weight": [[-0.266133, 0.4666, -0.689259, 0.33757, -0.583686, 0.283713]], "network.8.bias": [0.088184]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6718900799751282, "train_acc": 0.575, "val_loss": 0.6245244741439819, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5799756944179535, "train_acc": 0.575, "val_loss": 0.44953402876853943, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4328480362892151, "train_acc": 0.62, "val_loss": 0.29174691438674927, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.32988113164901733, "train_acc": 0.905, "val_loss": 0.1791648119688034, "val_acc": 1.0}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.26525384187698364, "train_acc": 0.935, "val_loss": 0.08932153880596161, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.21557067334651947, "train_acc": 0.94, "val_loss": 0.03729401156306267, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2503596618771553, "train_acc": 0.93, "val_loss": 0.021439362317323685, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23039501160383224, "train_acc": 0.94, "val_loss": 0.03281857818365097, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.20822980254888535, "train_acc": 0.925, "val_loss": 0.043567247688770294, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.18412579596042633, "train_acc": 0.945, "val_loss": 0.05891091004014015, "val_acc": 1.0}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6245244741439819, "final_val_loss": 0.44953402876853943, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.29174691438674927, "final_val_loss": 0.05891091004014015, "initial_val_acc": 0.98, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 3}, "improvement": 0.5, "first_improvement_epoch": 1}}
|
252
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.66, "improved_accuracy": 0.9, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9462, "learning_rate": 0.043725448587003994, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[10.552586, 11.141803, 11.146188, 11.579736, 13.127848, 14.013478, 14.979821, 15.062814, 16.814456, 141.615916], [19.990167, 20.252513, 20.268324, 21.396126, 22.270270, 22.379946, 22.586303, 22.808315, 27.004405, 111.982925], [28.334579, 29.054799, 30.679045, 35.249437, 37.756831, 37.762385, 39.119254, 49.821793, 57.057780, 156.697832], [16.345876, 17.305098, 18.391209, 19.430740, 19.826700, 22.419153, 22.673705, 23.647694, 26.713359, 211.456226], [33.755311, 38.533292, 39.870273, 41.397820, 42.074443, 42.177914, 43.662901, 45.232738, 54.274770, 414.369774], [21.298069, 22.269030, 22.516781, 24.514547, 24.526153, 24.598710, 29.457671, 31.200136, 34.886544, 37.356330]]
### 2
fourier: [[3.018949, 3.196068, 3.201968, 3.262216, 3.468585, 4.031623, 4.260682, 4.604450, 4.726257, 39.917862], [26.509112, 29.304380, 29.898877, 31.879126, 36.587392, 41.335352, 50.959148, 52.853797, 53.884559, 368.645202], [9.488471, 9.788574, 10.019872, 10.263168, 10.467881, 10.767264, 10.984073, 12.777291, 15.280232, 127.519926], [13.117750, 13.137705, 13.249134, 13.794012, 14.207891, 14.384616, 16.214397, 16.558559, 18.005560, 156.383738], [11.828530, 12.807551, 14.752169, 14.884828, 15.258528, 15.441007, 19.178216, 21.014967, 23.807365, 134.081828], [33.332613, 33.671014, 35.237513, 37.861610, 39.229955, 39.612444, 44.800993, 46.911980, 55.548441, 56.423935]]
### 4
fourier: [[13.111731, 13.964049, 14.505173, 15.655181, 17.713285, 20.133461, 24.618508, 25.967176, 26.531349, 172.851923], [18.912169, 21.526114, 22.343844, 23.136284, 23.584104, 24.076426, 28.491995, 34.604766, 37.584132, 101.331725], [18.400906, 19.714730, 20.813696, 22.749675, 22.901035, 22.944998, 26.512902, 33.389869, 36.036426, 89.509352], [3.870491, 3.977583, 4.655310, 4.719906, 4.912833, 5.014060, 5.908502, 6.333383, 6.631404, 64.385078], [13.906037, 14.523968, 15.862114, 16.776215, 16.863150, 17.198176, 18.964558, 19.420414, 25.737729, 256.621996], [6.293826, 6.328169, 6.457733, 6.853678, 6.903166, 7.184415, 8.162049, 8.744760, 9.112537, 66.788612]]
### 6
fourier: [[25.915352, 27.650042, 28.966767, 31.483826, 31.695948, 33.459628, 35.303762, 47.221677, 53.385283, 222.291195], [36.215436, 36.815514, 40.307330, 41.797760, 42.864781, 42.869178, 49.224026, 62.968752, 71.898562, 218.726018], [23.044758, 23.483219, 24.220299, 24.280187, 28.943721, 29.810490, 30.811827, 36.580628, 37.001036, 43.648021], [19.261798, 19.472458, 20.283726, 20.453379, 24.257067, 24.958754, 25.901539, 30.323213, 31.056027, 36.204395], [28.124243, 31.426301, 31.609569, 35.054367, 35.818977, 38.433277, 38.574401, 53.046305, 59.836423, 207.515148], [2.725061, 2.765129, 2.808492, 2.890568, 2.893222, 3.104066, 3.597178, 3.771546, 4.052914, 44.596922]]
### 8
fourier: [[59.406831, 63.175789, 66.620239, 69.052057, 70.156706, 73.166841, 88.210277, 104.788850, 115.970749, 303.172016]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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],
[
0.34574,
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0.037348
],
[
-0.374999,
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0.131293,
-0.360883,
0.39922
],
[
-0.164596,
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-0.301842,
-0.056595,
-0.255691,
0.340389
],
[
0.23364,
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-0.95693,
-0.315759,
0.470552,
0.607966
]
],
"network.2.bias": [
-0.084862,
0.37997,
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0.134331,
-0.06803
],
"network.4.weight": [
[
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],
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-0.400777,
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],
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],
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[
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],
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-0.161832
]
}
## Activation Signature
### 0
fourier: [[10.552586, 11.141803, 11.146188, 11.579736, 13.127848, 14.013478, 14.979821, 15.062814, 16.814456, 141.615916], [19.990167, 20.252513, 20.268324, 21.396126, 22.270270, 22.379946, 22.586303, 22.808315, 27.004405, 111.982925], [28.334579, 29.054799, 30.679045, 35.249437, 37.756831, 37.762385, 39.119254, 49.821793, 57.057780, 156.697832], [16.345876, 17.305098, 18.391209, 19.430740, 19.826700, 22.419153, 22.673705, 23.647694, 26.713359, 211.456226], [33.755311, 38.533292, 39.870273, 41.397820, 42.074443, 42.177914, 43.662901, 45.232738, 54.274770, 414.369774], [21.298069, 22.269030, 22.516781, 24.514547, 24.526153, 24.598710, 29.457671, 31.200136, 34.886544, 37.356330]]
### 2
fourier: [[3.018949, 3.196068, 3.201968, 3.262216, 3.468585, 4.031623, 4.260682, 4.604450, 4.726257, 39.917862], [26.509112, 29.304380, 29.898877, 31.879126, 36.587392, 41.335352, 50.959148, 52.853797, 53.884559, 368.645202], [9.488471, 9.788574, 10.019872, 10.263168, 10.467881, 10.767264, 10.984073, 12.777291, 15.280232, 127.519926], [13.117750, 13.137705, 13.249134, 13.794012, 14.207891, 14.384616, 16.214397, 16.558559, 18.005560, 156.383738], [11.828530, 12.807551, 14.752169, 14.884828, 15.258528, 15.441007, 19.178216, 21.014967, 23.807365, 134.081828], [33.332613, 33.671014, 35.237513, 37.861610, 39.229955, 39.612444, 44.800993, 46.911980, 55.548441, 56.423935]]
### 4
fourier: [[13.111731, 13.964049, 14.505173, 15.655181, 17.713285, 20.133461, 24.618508, 25.967176, 26.531349, 172.851923], [18.912169, 21.526114, 22.343844, 23.136284, 23.584104, 24.076426, 28.491995, 34.604766, 37.584132, 101.331725], [18.400906, 19.714730, 20.813696, 22.749675, 22.901035, 22.944998, 26.512902, 33.389869, 36.036426, 89.509352], [3.870491, 3.977583, 4.655310, 4.719906, 4.912833, 5.014060, 5.908502, 6.333383, 6.631404, 64.385078], [13.906037, 14.523968, 15.862114, 16.776215, 16.863150, 17.198176, 18.964558, 19.420414, 25.737729, 256.621996], [6.293826, 6.328169, 6.457733, 6.853678, 6.903166, 7.184415, 8.162049, 8.744760, 9.112537, 66.788612]]
### 6
fourier: [[25.915352, 27.650042, 28.966767, 31.483826, 31.695948, 33.459628, 35.303762, 47.221677, 53.385283, 222.291195], [36.215436, 36.815514, 40.307330, 41.797760, 42.864781, 42.869178, 49.224026, 62.968752, 71.898562, 218.726018], [23.044758, 23.483219, 24.220299, 24.280187, 28.943721, 29.810490, 30.811827, 36.580628, 37.001036, 43.648021], [19.261798, 19.472458, 20.283726, 20.453379, 24.257067, 24.958754, 25.901539, 30.323213, 31.056027, 36.204395], [28.124243, 31.426301, 31.609569, 35.054367, 35.818977, 38.433277, 38.574401, 53.046305, 59.836423, 207.515148], [2.725061, 2.765129, 2.808492, 2.890568, 2.893222, 3.104066, 3.597178, 3.771546, 4.052914, 44.596922]]
### 8
fourier: [[59.406831, 63.175789, 66.620239, 69.052057, 70.156706, 73.166841, 88.210277, 104.788850, 115.970749, 303.172016]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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10.467880525599893, 10.767264218644716, 10.98407332648987, 12.77729111988434, 15.280231641929243, 127.51992619037628]}, "3": {"fourier": [13.117749600086988, 13.137705439825721, 13.249134185412696, 13.79401206042509, 14.207890729339159, 14.384615591213045, 16.214397120551553, 16.55855935588568, 18.00555985865506, 156.3837381452322]}, "4": {"fourier": [11.82853000248076, 12.807550598648065, 14.752169058192667, 14.884828282760651, 15.258527595698405, 15.441006874943307, 19.178216027627432, 21.014966973580275, 23.807364562580744, 134.0818284675479]}, "5": {"fourier": [33.33261323754342, 33.67101448978351, 35.23751286551198, 37.86161019709424, 39.22995545250494, 39.61244391613405, 44.80099296344136, 46.91198013977202, 55.54844078941663, 56.42393498122692]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [13.111730597225016, 13.96404865477145, 14.505172962381453, 15.655180706705744, 17.71328452003801, 20.133461446984416, 24.618507556672235, 25.967175710970935, 26.531348623454985, 172.8519228696823]}, "1": {"fourier": [18.912169415323092, 21.52611440003303, 22.34384401282605, 23.136283743770676, 23.584103663317336, 24.076426453246757, 28.491995056244118, 34.60476564676268, 37.584131691441726, 101.33172537386417]}, "2": {"fourier": [18.400906190105818, 19.71473022449602, 20.813696033909928, 22.749675102405615, 22.90103549023516, 22.94499761882759, 26.51290151752968, 33.38986889314152, 36.036425725624795, 89.5093520283699]}, "3": {"fourier": [3.8704908296489955, 3.9775833592169216, 4.655309960326577, 4.719905518354154, 4.912833387947646, 5.014060451783376, 5.908501689976403, 6.333382632386392, 6.631404465244408, 64.38507816195488]}, "4": {"fourier": [13.906036896837527, 14.523968339998317, 15.862113903782857, 16.776214712188995, 16.863150458205574, 17.1981763416639, 18.964558095620838, 19.420413916697914, 25.737728733644754, 256.62199634313583]}, "5": {"fourier": [6.29382583540263, 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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.203144, -0.036223, -0.386869, -0.251012, 0.074816], [0.363795, -0.368715, -0.122203, -0.502003, 0.237956], [0.344661, 0.049374, -0.058985, -0.15342, 1.237158], [-0.092338, -0.355787, -0.237595, -0.119827, -0.366785], [0.505444, 0.459907, 0.582644, 0.701926, -0.470459], [-0.095932, 0.315684, 0.083212, -0.236207, -0.862014]], "network.0.bias": [-0.506174, 0.013211, 0.148589, -0.380641, 0.994974, 0.55237], "network.2.weight": [[-0.106049, -0.295022, -0.030706, 0.039694, -0.063144, 0.075339], [-0.138968, 0.777012, 0.914397, -0.076245, 0.398452, 0.164649], [0.34574, -0.393841, -0.150013, -0.12927, -0.209157, 0.037348], [-0.374999, -0.381365, 0.059983, 0.131293, -0.360883, 0.39922], [-0.164596, -0.241747, -0.301842, -0.056595, -0.255691, 0.340389], [0.23364, 0.220024, -0.95693, -0.315759, 0.470552, 0.607966]], "network.2.bias": [-0.084862, 0.37997, -0.13591, -0.303638, 0.134331, -0.06803], "network.4.weight": [[0.376606, -0.484212, 0.299327, 0.141234, 0.191393, 0.021021], [-0.372278, 0.463976, 0.392992, 0.388769, 0.29086, -0.589043], [-0.400777, 0.461808, -0.265559, -0.106175, 0.042523, -0.523411], [-0.228978, -0.03456, 0.013658, 0.037246, -0.321914, -0.240402], [-0.146696, 0.459059, -0.069373, -0.189594, 0.086492, 0.518706], [0.010496, 0.087165, 0.181417, 0.205783, 0.295852, 0.339996]], "network.4.bias": [0.031562, 0.085643, -0.131897, -0.221788, 0.21273, -0.112711], "network.6.weight": [[0.435554, 0.421235, 1.03222, 0.183299, 0.145755, -0.246903], [0.14858, 0.893466, 1.1739, 0.005752, -0.064948, -0.018475], [0.215514, -0.780324, -0.607565, -0.144992, 0.450231, 0.254274], [0.236945, -0.792312, -0.326302, 0.118179, 0.334147, 0.33684], [0.229247, 0.820091, 0.827551, -0.150556, 0.126587, 0.027245], [-0.010213, -0.096176, 0.164102, -0.017422, -0.102054, -0.213239]], "network.6.bias": [0.531197, 0.166611, 0.326591, 0.003244, -0.051095, -0.112044], "network.8.weight": [[-0.574017, -0.755018, 0.615113, 0.427592, -0.323551, -0.334018]], "network.8.bias": [-0.161832]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6933212876319885, "train_acc": 0.45, "val_loss": 0.6747219562530518, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6866158246994019, "train_acc": 0.54, "val_loss": 0.6608274579048157, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.676988959312439, "train_acc": 0.54, "val_loss": 0.6338070034980774, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6547785401344299, "train_acc": 0.585, "val_loss": 0.6253463625907898, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5584899485111237, "train_acc": 0.755, "val_loss": 0.44862082600593567, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4988704323768616, "train_acc": 0.845, "val_loss": 0.354798823595047, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4554383158683777, "train_acc": 0.85, "val_loss": 0.298789381980896, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3798237293958664, "train_acc": 0.825, "val_loss": 0.29741808772087097, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3831705003976822, "train_acc": 0.85, "val_loss": 0.30091527104377747, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.36764034628868103, "train_acc": 0.855, "val_loss": 0.2675824761390686, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3322605788707733, "train_acc": 0.855, "val_loss": 0.2468041181564331, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.32536496222019196, "train_acc": 0.875, "val_loss": 0.2568603456020355, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3007824420928955, "train_acc": 0.88, "val_loss": 0.229995459318161, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6747219562530518, "final_val_loss": 0.6338070034980774, "initial_val_acc": 0.62, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.6253463625907898, "final_val_loss": 0.229995459318161, "initial_val_acc": 0.7, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
253
|
{"target_pattern": "alternating", "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": 1408, "learning_rate": 0.05255199878818606, "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
fourier: [[23.337379, 23.438480, 25.349588, 30.495153, 31.335875, 33.213499, 33.558523, 38.487335, 40.244828, 238.063146], [13.378962, 13.763482, 14.012859, 14.159101, 16.365427, 16.881704, 19.214253, 19.440311, 22.181038, 95.660397], [25.063973, 25.459571, 27.440985, 27.489683, 32.589344, 33.976044, 34.334048, 35.763062, 43.555498, 48.082707], [22.609607, 22.940043, 24.096975, 26.087605, 26.307326, 26.440529, 26.446601, 30.915911, 33.106502, 33.613359], [14.447242, 14.466034, 15.006069, 15.296043, 15.700192, 17.711047, 18.188866, 18.554267, 20.200994, 20.769132], [14.637685, 14.940976, 15.422264, 18.523273, 18.830518, 19.341162, 22.379321, 22.434575, 23.885491, 32.903846], [25.485017, 26.890528, 29.463883, 31.881269, 34.015020, 34.615086, 34.657923, 39.884185, 46.211805, 53.474064], [14.211737, 14.388000, 15.646757, 15.947912, 16.893155, 16.922433, 18.040542, 18.909627, 21.441738, 22.075774]]
### 2
fourier: [[11.071311, 12.518742, 12.667917, 13.201660, 13.378256, 14.017332, 14.159488, 17.331655, 17.618455, 36.539517], [11.561420, 11.874329, 12.001510, 13.009997, 14.663013, 15.176549, 16.555426, 16.832326, 17.199894, 119.820593], [11.600315, 13.481842, 13.561603, 14.009724, 14.216823, 14.311669, 14.628147, 14.824480, 15.526082, 99.751268], [13.719888, 14.303125, 14.455521, 16.222909, 16.598762, 17.166994, 17.462718, 19.451105, 21.176514, 135.261152], [6.441272, 6.559520, 6.739388, 7.035477, 7.472325, 7.839041, 8.181048, 9.140605, 10.257676, 45.385987], [19.204917, 19.431099, 20.020952, 20.308526, 20.350626, 23.527099, 25.156578, 25.580607, 26.228811, 41.132311], [12.245822, 12.458405, 12.651317, 13.735894, 14.296499, 15.268657, 15.673157, 18.312585, 18.794314, 21.535653], [6.469847, 6.501666, 7.074676, 7.223170, 8.300252, 8.490730, 8.850891, 9.007853, 10.195766, 17.261697]]
### 4
fourier: [[16.107700, 17.812185, 18.539773, 19.859257, 20.065299, 20.770857, 21.104105, 22.200246, 25.513474, 116.383222], [7.226032, 7.610813, 8.042085, 8.161682, 8.443844, 8.599908, 8.695956, 10.431866, 11.048882, 13.540565], [13.088447, 15.283424, 15.435311, 17.561663, 17.657079, 19.941382, 23.898336, 24.463354, 26.125779, 157.989312], [15.679457, 16.191209, 16.261162, 16.963944, 17.644284, 17.789863, 19.309385, 19.719766, 19.993276, 121.820306], [5.736749, 5.921698, 6.042992, 6.258025, 6.643885, 6.711541, 7.187006, 8.117145, 8.127987, 22.726522], [11.427118, 12.077729, 12.858366, 12.927012, 13.253729, 13.263818, 14.752827, 15.864752, 15.888483, 73.185478], [9.000807, 9.007182, 9.695854, 9.745662, 10.276534, 11.178804, 11.263503, 11.733936, 12.943057, 40.809084], [14.303833, 15.175449, 16.466555, 16.714402, 18.084629, 18.341812, 18.900515, 20.642335, 21.709875, 29.318885]]
### 6
fourier: [[10.408198, 10.412010, 10.464700, 11.030048, 12.000342, 13.088430, 13.366572, 15.041539, 16.225982, 47.926089], [3.452642, 3.750483, 3.852813, 3.926252, 3.972114, 4.755600, 5.081060, 5.239622, 5.362311, 45.242739], [15.539259, 16.916785, 17.092345, 17.625472, 18.377189, 18.672940, 19.864706, 19.881210, 20.664696, 117.312039], [17.506882, 18.716114, 19.068551, 19.398625, 20.098883, 20.505778, 22.289864, 22.842078, 24.521544, 133.119068], [14.034272, 14.283268, 15.049399, 15.385698, 16.100318, 16.479235, 17.305372, 17.765681, 19.782840, 21.292384], [23.595226, 23.636233, 25.447157, 26.693194, 26.770771, 27.776639, 28.051754, 28.715851, 33.148309, 154.015795], [13.149585, 13.197954, 13.869815, 14.066015, 14.349441, 14.589605, 15.128767, 17.646735, 19.601989, 19.981805], [5.503943, 5.700636, 5.997893, 6.028816, 6.060743, 6.540856, 6.855482, 7.108368, 7.821604, 9.016791]]
### 8
fourier: [[32.207478, 33.759030, 35.374693, 35.967591, 37.586394, 43.997307, 45.317731, 45.489108, 46.755135, 191.514295]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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## Activation Signature
### 0
fourier: [[23.337379, 23.438480, 25.349588, 30.495153, 31.335875, 33.213499, 33.558523, 38.487335, 40.244828, 238.063146], [13.378962, 13.763482, 14.012859, 14.159101, 16.365427, 16.881704, 19.214253, 19.440311, 22.181038, 95.660397], [25.063973, 25.459571, 27.440985, 27.489683, 32.589344, 33.976044, 34.334048, 35.763062, 43.555498, 48.082707], [22.609607, 22.940043, 24.096975, 26.087605, 26.307326, 26.440529, 26.446601, 30.915911, 33.106502, 33.613359], [14.447242, 14.466034, 15.006069, 15.296043, 15.700192, 17.711047, 18.188866, 18.554267, 20.200994, 20.769132], [14.637685, 14.940976, 15.422264, 18.523273, 18.830518, 19.341162, 22.379321, 22.434575, 23.885491, 32.903846], [25.485017, 26.890528, 29.463883, 31.881269, 34.015020, 34.615086, 34.657923, 39.884185, 46.211805, 53.474064], [14.211737, 14.388000, 15.646757, 15.947912, 16.893155, 16.922433, 18.040542, 18.909627, 21.441738, 22.075774]]
### 2
fourier: [[11.071311, 12.518742, 12.667917, 13.201660, 13.378256, 14.017332, 14.159488, 17.331655, 17.618455, 36.539517], [11.561420, 11.874329, 12.001510, 13.009997, 14.663013, 15.176549, 16.555426, 16.832326, 17.199894, 119.820593], [11.600315, 13.481842, 13.561603, 14.009724, 14.216823, 14.311669, 14.628147, 14.824480, 15.526082, 99.751268], [13.719888, 14.303125, 14.455521, 16.222909, 16.598762, 17.166994, 17.462718, 19.451105, 21.176514, 135.261152], [6.441272, 6.559520, 6.739388, 7.035477, 7.472325, 7.839041, 8.181048, 9.140605, 10.257676, 45.385987], [19.204917, 19.431099, 20.020952, 20.308526, 20.350626, 23.527099, 25.156578, 25.580607, 26.228811, 41.132311], [12.245822, 12.458405, 12.651317, 13.735894, 14.296499, 15.268657, 15.673157, 18.312585, 18.794314, 21.535653], [6.469847, 6.501666, 7.074676, 7.223170, 8.300252, 8.490730, 8.850891, 9.007853, 10.195766, 17.261697]]
### 4
fourier: [[16.107700, 17.812185, 18.539773, 19.859257, 20.065299, 20.770857, 21.104105, 22.200246, 25.513474, 116.383222], [7.226032, 7.610813, 8.042085, 8.161682, 8.443844, 8.599908, 8.695956, 10.431866, 11.048882, 13.540565], [13.088447, 15.283424, 15.435311, 17.561663, 17.657079, 19.941382, 23.898336, 24.463354, 26.125779, 157.989312], [15.679457, 16.191209, 16.261162, 16.963944, 17.644284, 17.789863, 19.309385, 19.719766, 19.993276, 121.820306], [5.736749, 5.921698, 6.042992, 6.258025, 6.643885, 6.711541, 7.187006, 8.117145, 8.127987, 22.726522], [11.427118, 12.077729, 12.858366, 12.927012, 13.253729, 13.263818, 14.752827, 15.864752, 15.888483, 73.185478], [9.000807, 9.007182, 9.695854, 9.745662, 10.276534, 11.178804, 11.263503, 11.733936, 12.943057, 40.809084], [14.303833, 15.175449, 16.466555, 16.714402, 18.084629, 18.341812, 18.900515, 20.642335, 21.709875, 29.318885]]
### 6
fourier: [[10.408198, 10.412010, 10.464700, 11.030048, 12.000342, 13.088430, 13.366572, 15.041539, 16.225982, 47.926089], [3.452642, 3.750483, 3.852813, 3.926252, 3.972114, 4.755600, 5.081060, 5.239622, 5.362311, 45.242739], [15.539259, 16.916785, 17.092345, 17.625472, 18.377189, 18.672940, 19.864706, 19.881210, 20.664696, 117.312039], [17.506882, 18.716114, 19.068551, 19.398625, 20.098883, 20.505778, 22.289864, 22.842078, 24.521544, 133.119068], [14.034272, 14.283268, 15.049399, 15.385698, 16.100318, 16.479235, 17.305372, 17.765681, 19.782840, 21.292384], [23.595226, 23.636233, 25.447157, 26.693194, 26.770771, 27.776639, 28.051754, 28.715851, 33.148309, 154.015795], [13.149585, 13.197954, 13.869815, 14.066015, 14.349441, 14.589605, 15.128767, 17.646735, 19.601989, 19.981805], [5.503943, 5.700636, 5.997893, 6.028816, 6.060743, 6.540856, 6.855482, 7.108368, 7.821604, 9.016791]]
### 8
fourier: [[32.207478, 33.759030, 35.374693, 35.967591, 37.586394, 43.997307, 45.317731, 45.489108, 46.755135, 191.514295]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.694097250699997, "train_acc": 0.435, "val_loss": 0.6920236945152283, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819996237754822, "train_acc": 0.56, "val_loss": 0.6558611392974854, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.608551949262619, "train_acc": 0.615, "val_loss": 0.433696448802948, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.37213392555713654, "train_acc": 0.825, "val_loss": 0.2730948328971863, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2671874612569809, "train_acc": 0.9, "val_loss": 1.0207405090332031, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6958968490362167, "train_acc": 0.825, "val_loss": 0.3859706223011017, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24071460962295532, "train_acc": 0.91, "val_loss": 0.4432596266269684, "val_acc": 0.92}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6920236945152283, "final_val_loss": 0.6558611392974854, "initial_val_acc": 0.52, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.433696448802948, "final_val_loss": 0.4432596266269684, "initial_val_acc": 0.7, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
254
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8816, "learning_rate": 0.01765279709862043, "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: 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
fourier: [[18.112853, 18.397210, 18.644651, 18.786308, 19.792760, 22.884177, 23.048529, 23.213795, 24.240666, 71.819940], [15.380006, 16.265792, 17.011430, 18.161625, 18.407963, 18.992980, 20.321745, 21.200912, 28.577889, 44.392589], [17.489200, 18.518897, 20.414101, 21.599837, 21.881547, 23.076469, 23.088855, 23.150852, 25.533432, 112.471338], [19.624426, 19.794876, 22.100500, 22.550799, 24.459983, 27.093701, 27.690366, 28.106167, 29.317495, 167.185302], [17.842604, 18.261950, 18.749115, 20.268982, 21.541326, 21.894292, 24.882706, 28.232959, 29.469887, 215.820413], [16.993014, 17.540957, 17.987225, 19.240618, 19.701411, 19.880520, 22.096983, 22.514867, 24.939148, 42.938285], [10.865824, 10.911888, 12.268196, 12.878600, 13.685960, 14.456167, 16.780138, 18.673642, 19.458140, 78.785626], [15.733991, 15.890100, 17.713284, 17.975140, 18.045205, 18.856508, 22.437695, 23.796632, 27.415376, 111.700978]]
### 2
fourier: [[6.596914, 7.111793, 7.203030, 7.333644, 7.401221, 7.597382, 8.251593, 9.977963, 11.148475, 12.212440], [11.633405, 12.702637, 13.469902, 14.196732, 14.422620, 14.496481, 16.922528, 18.177466, 18.937586, 117.976797], [12.363336, 13.385138, 14.191735, 16.176486, 16.443463, 17.433610, 18.241689, 20.933948, 24.694181, 84.288488], [4.433458, 4.902474, 5.240001, 5.337546, 6.004633, 6.143290, 6.221089, 6.894479, 8.373486, 43.175052], [7.842877, 8.206651, 8.540745, 8.701379, 9.413007, 10.810771, 11.492492, 11.876446, 15.660991, 44.956294], [14.858206, 16.377728, 16.423622, 16.650646, 17.766158, 18.740940, 18.856698, 19.412261, 19.989420, 97.281044], [3.057784, 3.192479, 3.560051, 3.867195, 3.998039, 4.056183, 4.208918, 4.444825, 4.474306, 4.840864], [17.050991, 17.063495, 17.596601, 17.680978, 18.092598, 18.367342, 21.271831, 21.509953, 24.512143, 94.579226]]
### 4
fourier: [[8.387678, 9.096423, 9.197190, 9.230460, 9.818548, 10.671510, 10.715946, 11.592171, 11.801202, 83.386286], [1.076637, 1.092990, 1.135127, 1.146340, 1.297353, 1.475859, 1.496955, 1.584476, 1.589290, 40.483953], [4.617067, 4.684299, 5.367299, 5.617638, 5.724542, 5.756049, 5.847380, 6.681341, 7.706629, 57.471854], [3.039193, 3.072730, 3.078587, 3.151329, 3.255428, 3.304247, 3.327748, 4.478959, 5.419453, 6.960814], [5.796377, 6.066209, 6.127800, 6.795841, 7.402602, 8.265420, 8.290004, 8.445410, 8.464909, 13.017413], [4.481947, 4.616065, 4.658445, 4.679520, 4.947491, 5.377375, 6.468892, 6.575389, 7.102607, 19.248340], [14.137037, 14.854393, 15.012023, 16.507620, 16.830614, 16.957541, 17.927748, 20.431603, 22.294139, 109.294330], [17.599273, 17.763697, 18.137511, 18.687582, 19.129346, 20.511183, 22.782096, 24.096578, 24.198984, 156.835452]]
### 6
fourier: [[9.883381, 10.151086, 10.339730, 10.635757, 11.001968, 11.568926, 13.131702, 13.882457, 14.141821, 82.481236], [2.598986, 2.616243, 2.633577, 2.687888, 2.699580, 2.817163, 3.371419, 3.885753, 4.101730, 6.423943], [1.364768, 1.403390, 1.522708, 1.551679, 1.625334, 1.647749, 1.723836, 1.852155, 1.885781, 7.975476], [11.637598, 11.889134, 12.799346, 13.054969, 13.758631, 14.525475, 15.552041, 16.433767, 16.507370, 113.722398], [3.518458, 3.673707, 3.949655, 4.043314, 4.161484, 4.245690, 4.785660, 5.229002, 5.390209, 47.899052], [1.473571, 1.489916, 1.533551, 1.662732, 1.718273, 1.740323, 2.095562, 2.199482, 2.459174, 2.520836], [17.886568, 18.084733, 18.100212, 19.124533, 19.830683, 22.341647, 23.253731, 23.289138, 24.151571, 175.723326], [2.907637, 2.936306, 3.210683, 3.227782, 3.314569, 3.685693, 3.863687, 4.003049, 4.227132, 47.733712]]
### 8
fourier: [[10.013780, 10.080827, 10.412846, 10.815241, 11.231448, 12.379521, 13.093579, 13.549100, 13.712405, 71.375154], [12.365816, 12.531831, 13.154997, 13.534544, 14.147268, 15.601571, 16.269026, 16.838483, 17.094199, 136.707619], [5.555958, 5.604278, 5.705844, 5.966728, 6.234689, 7.121409, 7.127810, 7.233240, 7.495184, 46.555877], [9.928187, 10.001199, 10.038975, 10.688097, 11.076173, 12.190845, 12.944977, 13.005716, 13.492697, 70.794829], [8.870901, 8.898285, 8.924056, 9.497287, 9.824406, 11.060916, 11.448603, 11.523291, 11.978910, 97.771250], [2.152304, 2.159977, 2.295308, 2.382159, 2.535363, 2.778849, 2.788511, 2.836203, 2.959686, 38.863196], [0.360848, 0.393889, 0.400283, 0.441472, 0.454262, 0.491207, 0.494295, 0.503675, 0.624766, 35.752534], [4.615580, 4.623718, 4.701449, 4.939386, 5.103533, 5.727338, 5.986051, 6.021109, 6.242146, 39.277583]]
### 10
fourier: [[15.295332, 15.343198, 15.900719, 16.460267, 17.230800, 18.888110, 20.033875, 20.440276, 20.931848, 110.960231]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[18.112853, 18.397210, 18.644651, 18.786308, 19.792760, 22.884177, 23.048529, 23.213795, 24.240666, 71.819940], [15.380006, 16.265792, 17.011430, 18.161625, 18.407963, 18.992980, 20.321745, 21.200912, 28.577889, 44.392589], [17.489200, 18.518897, 20.414101, 21.599837, 21.881547, 23.076469, 23.088855, 23.150852, 25.533432, 112.471338], [19.624426, 19.794876, 22.100500, 22.550799, 24.459983, 27.093701, 27.690366, 28.106167, 29.317495, 167.185302], [17.842604, 18.261950, 18.749115, 20.268982, 21.541326, 21.894292, 24.882706, 28.232959, 29.469887, 215.820413], [16.993014, 17.540957, 17.987225, 19.240618, 19.701411, 19.880520, 22.096983, 22.514867, 24.939148, 42.938285], [10.865824, 10.911888, 12.268196, 12.878600, 13.685960, 14.456167, 16.780138, 18.673642, 19.458140, 78.785626], [15.733991, 15.890100, 17.713284, 17.975140, 18.045205, 18.856508, 22.437695, 23.796632, 27.415376, 111.700978]]
### 2
fourier: [[6.596914, 7.111793, 7.203030, 7.333644, 7.401221, 7.597382, 8.251593, 9.977963, 11.148475, 12.212440], [11.633405, 12.702637, 13.469902, 14.196732, 14.422620, 14.496481, 16.922528, 18.177466, 18.937586, 117.976797], [12.363336, 13.385138, 14.191735, 16.176486, 16.443463, 17.433610, 18.241689, 20.933948, 24.694181, 84.288488], [4.433458, 4.902474, 5.240001, 5.337546, 6.004633, 6.143290, 6.221089, 6.894479, 8.373486, 43.175052], [7.842877, 8.206651, 8.540745, 8.701379, 9.413007, 10.810771, 11.492492, 11.876446, 15.660991, 44.956294], [14.858206, 16.377728, 16.423622, 16.650646, 17.766158, 18.740940, 18.856698, 19.412261, 19.989420, 97.281044], [3.057784, 3.192479, 3.560051, 3.867195, 3.998039, 4.056183, 4.208918, 4.444825, 4.474306, 4.840864], [17.050991, 17.063495, 17.596601, 17.680978, 18.092598, 18.367342, 21.271831, 21.509953, 24.512143, 94.579226]]
### 4
fourier: [[8.387678, 9.096423, 9.197190, 9.230460, 9.818548, 10.671510, 10.715946, 11.592171, 11.801202, 83.386286], [1.076637, 1.092990, 1.135127, 1.146340, 1.297353, 1.475859, 1.496955, 1.584476, 1.589290, 40.483953], [4.617067, 4.684299, 5.367299, 5.617638, 5.724542, 5.756049, 5.847380, 6.681341, 7.706629, 57.471854], [3.039193, 3.072730, 3.078587, 3.151329, 3.255428, 3.304247, 3.327748, 4.478959, 5.419453, 6.960814], [5.796377, 6.066209, 6.127800, 6.795841, 7.402602, 8.265420, 8.290004, 8.445410, 8.464909, 13.017413], [4.481947, 4.616065, 4.658445, 4.679520, 4.947491, 5.377375, 6.468892, 6.575389, 7.102607, 19.248340], [14.137037, 14.854393, 15.012023, 16.507620, 16.830614, 16.957541, 17.927748, 20.431603, 22.294139, 109.294330], [17.599273, 17.763697, 18.137511, 18.687582, 19.129346, 20.511183, 22.782096, 24.096578, 24.198984, 156.835452]]
### 6
fourier: [[9.883381, 10.151086, 10.339730, 10.635757, 11.001968, 11.568926, 13.131702, 13.882457, 14.141821, 82.481236], [2.598986, 2.616243, 2.633577, 2.687888, 2.699580, 2.817163, 3.371419, 3.885753, 4.101730, 6.423943], [1.364768, 1.403390, 1.522708, 1.551679, 1.625334, 1.647749, 1.723836, 1.852155, 1.885781, 7.975476], [11.637598, 11.889134, 12.799346, 13.054969, 13.758631, 14.525475, 15.552041, 16.433767, 16.507370, 113.722398], [3.518458, 3.673707, 3.949655, 4.043314, 4.161484, 4.245690, 4.785660, 5.229002, 5.390209, 47.899052], [1.473571, 1.489916, 1.533551, 1.662732, 1.718273, 1.740323, 2.095562, 2.199482, 2.459174, 2.520836], [17.886568, 18.084733, 18.100212, 19.124533, 19.830683, 22.341647, 23.253731, 23.289138, 24.151571, 175.723326], [2.907637, 2.936306, 3.210683, 3.227782, 3.314569, 3.685693, 3.863687, 4.003049, 4.227132, 47.733712]]
### 8
fourier: [[10.013780, 10.080827, 10.412846, 10.815241, 11.231448, 12.379521, 13.093579, 13.549100, 13.712405, 71.375154], [12.365816, 12.531831, 13.154997, 13.534544, 14.147268, 15.601571, 16.269026, 16.838483, 17.094199, 136.707619], [5.555958, 5.604278, 5.705844, 5.966728, 6.234689, 7.121409, 7.127810, 7.233240, 7.495184, 46.555877], [9.928187, 10.001199, 10.038975, 10.688097, 11.076173, 12.190845, 12.944977, 13.005716, 13.492697, 70.794829], [8.870901, 8.898285, 8.924056, 9.497287, 9.824406, 11.060916, 11.448603, 11.523291, 11.978910, 97.771250], [2.152304, 2.159977, 2.295308, 2.382159, 2.535363, 2.778849, 2.788511, 2.836203, 2.959686, 38.863196], [0.360848, 0.393889, 0.400283, 0.441472, 0.454262, 0.491207, 0.494295, 0.503675, 0.624766, 35.752534], [4.615580, 4.623718, 4.701449, 4.939386, 5.103533, 5.727338, 5.986051, 6.021109, 6.242146, 39.277583]]
### 10
fourier: [[15.295332, 15.343198, 15.900719, 16.460267, 17.230800, 18.888110, 20.033875, 20.440276, 20.931848, 110.960231]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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255
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{"target_pattern": "first_last_match", "degraded_accuracy": 0.38, "improved_accuracy": 0.84, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3098, "learning_rate": 0.0549543219884779, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[22.962989, 24.100100, 25.054373, 29.480137, 31.347026, 36.879837, 38.017126, 43.563638, 45.843097, 111.902358], [27.494621, 27.676322, 28.817597, 30.173853, 31.610044, 31.878535, 33.211083, 36.850554, 39.976549, 72.766050], [29.772106, 30.303474, 30.728720, 36.207023, 36.464751, 37.395622, 39.151212, 43.032321, 48.367497, 358.045874], [32.195521, 33.711319, 33.748884, 34.370722, 40.341473, 42.914072, 44.258840, 46.622544, 46.891403, 53.001493], [18.126149, 18.728692, 19.625002, 19.731179, 24.047698, 24.835554, 24.965799, 24.994090, 25.163435, 26.074424], [29.248288, 31.468174, 31.641933, 33.440035, 37.905831, 43.733470, 53.763550, 53.885195, 62.322999, 198.652366]]
### 2
fourier: [[14.999804, 15.273051, 15.769919, 17.179912, 17.470827, 18.557213, 20.481683, 21.831968, 25.352251, 164.970552], [24.093356, 25.264358, 25.718828, 26.288592, 31.798544, 33.382132, 38.277339, 38.442880, 40.831501, 46.420071], [15.314000, 15.804673, 16.324104, 16.927770, 17.252812, 18.239465, 19.768476, 20.521092, 24.475196, 85.229069], [38.924482, 41.026664, 43.673032, 51.348269, 55.424411, 59.556282, 59.657778, 72.688439, 77.638182, 128.424740], [18.519690, 18.550336, 18.967238, 19.348525, 19.425103, 19.571811, 21.231363, 22.916079, 25.992551, 114.705809], [11.524968, 11.535667, 12.483238, 12.667476, 12.843766, 12.991549, 14.776158, 15.151892, 16.611998, 122.132010]]
### 4
fourier: [[23.966341, 24.664948, 26.355421, 30.700198, 31.710331, 34.381998, 36.596941, 41.738102, 47.900053, 97.794582], [7.327885, 7.531646, 7.817761, 7.901765, 8.052184, 8.400535, 8.549408, 9.042253, 11.890603, 159.194565], [36.254941, 37.895204, 40.097982, 46.227339, 53.001071, 53.768397, 55.110414, 66.531774, 77.351153, 165.413002], [8.584248, 8.701143, 8.907210, 9.425143, 9.610411, 9.841238, 11.593095, 12.712877, 14.755645, 153.859023], [19.645796, 19.819143, 20.735570, 21.039858, 22.184549, 24.791593, 27.886801, 28.862835, 35.527065, 41.730260], [24.897544, 25.091791, 28.314496, 28.776098, 30.040407, 30.588740, 36.292010, 36.627653, 37.918093, 83.841647]]
### 6
fourier: [[4.273956, 4.352898, 4.717902, 5.161524, 5.224093, 5.240217, 5.325797, 5.868554, 6.321443, 72.120453], [22.645595, 22.748195, 24.709485, 24.840605, 25.315669, 27.960444, 30.293419, 30.969849, 41.575796, 182.149651], [6.245518, 6.713859, 6.730554, 6.783126, 6.871456, 6.958303, 7.168107, 7.710071, 8.590566, 73.242616], [28.644707, 29.257886, 29.587840, 35.787236, 36.683271, 41.973191, 42.756678, 50.556187, 58.952104, 97.570190], [14.915177, 15.248116, 15.697311, 16.009420, 18.114980, 20.883362, 22.847386, 25.798442, 27.998944, 62.292467], [26.888510, 27.322352, 27.837036, 29.239841, 29.691859, 31.343492, 36.540460, 40.867667, 41.152438, 159.051677]]
### 8
fourier: [[32.711209, 32.832981, 32.955769, 36.597256, 39.678142, 44.061043, 51.277566, 53.868567, 55.895868, 81.893290], [33.176684, 33.602988, 35.498589, 36.961537, 41.645250, 46.987638, 49.932644, 56.844651, 59.448997, 63.374216], [8.512961, 9.216061, 9.252544, 9.365439, 9.511766, 9.717508, 10.686801, 12.935695, 13.130813, 82.510922], [21.567995, 22.486323, 22.852931, 24.125777, 26.126139, 27.922456, 31.747727, 32.545046, 38.112051, 44.208088], [20.974063, 21.393187, 21.742326, 23.537335, 24.809369, 27.376869, 32.283301, 33.167811, 35.373579, 134.053021], [18.958840, 19.185931, 19.429560, 21.401021, 22.684324, 24.994771, 29.826681, 30.151354, 31.796161, 105.040901]]
### 10
fourier: [[19.611899, 20.117568, 20.225527, 21.919581, 24.587275, 26.521909, 30.673363, 32.370375, 33.600391, 128.247071], [50.245872, 52.385770, 52.935543, 58.345022, 67.499034, 72.979866, 73.140331, 85.546281, 103.259132, 103.898784], [52.434712, 53.941967, 55.086199, 63.586068, 70.744850, 76.225650, 76.793963, 89.253748, 111.516126, 171.465739], [13.651715, 14.331921, 14.797408, 15.614782, 15.700977, 15.974904, 16.797065, 17.721529, 27.304425, 129.033002], [7.743705, 7.945174, 8.977685, 9.730142, 9.980780, 10.322009, 10.706501, 12.225765, 16.820739, 67.479946], [5.140132, 5.497278, 5.825485, 5.855065, 5.994047, 6.235263, 6.420402, 6.808263, 7.463060, 107.340064]]
### 12
fourier: [[64.958119, 65.892953, 66.412281, 78.501191, 86.501699, 87.154773, 91.302137, 103.272595, 137.834458, 261.112720]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[22.962989, 24.100100, 25.054373, 29.480137, 31.347026, 36.879837, 38.017126, 43.563638, 45.843097, 111.902358], [27.494621, 27.676322, 28.817597, 30.173853, 31.610044, 31.878535, 33.211083, 36.850554, 39.976549, 72.766050], [29.772106, 30.303474, 30.728720, 36.207023, 36.464751, 37.395622, 39.151212, 43.032321, 48.367497, 358.045874], [32.195521, 33.711319, 33.748884, 34.370722, 40.341473, 42.914072, 44.258840, 46.622544, 46.891403, 53.001493], [18.126149, 18.728692, 19.625002, 19.731179, 24.047698, 24.835554, 24.965799, 24.994090, 25.163435, 26.074424], [29.248288, 31.468174, 31.641933, 33.440035, 37.905831, 43.733470, 53.763550, 53.885195, 62.322999, 198.652366]]
### 2
fourier: [[14.999804, 15.273051, 15.769919, 17.179912, 17.470827, 18.557213, 20.481683, 21.831968, 25.352251, 164.970552], [24.093356, 25.264358, 25.718828, 26.288592, 31.798544, 33.382132, 38.277339, 38.442880, 40.831501, 46.420071], [15.314000, 15.804673, 16.324104, 16.927770, 17.252812, 18.239465, 19.768476, 20.521092, 24.475196, 85.229069], [38.924482, 41.026664, 43.673032, 51.348269, 55.424411, 59.556282, 59.657778, 72.688439, 77.638182, 128.424740], [18.519690, 18.550336, 18.967238, 19.348525, 19.425103, 19.571811, 21.231363, 22.916079, 25.992551, 114.705809], [11.524968, 11.535667, 12.483238, 12.667476, 12.843766, 12.991549, 14.776158, 15.151892, 16.611998, 122.132010]]
### 4
fourier: [[23.966341, 24.664948, 26.355421, 30.700198, 31.710331, 34.381998, 36.596941, 41.738102, 47.900053, 97.794582], [7.327885, 7.531646, 7.817761, 7.901765, 8.052184, 8.400535, 8.549408, 9.042253, 11.890603, 159.194565], [36.254941, 37.895204, 40.097982, 46.227339, 53.001071, 53.768397, 55.110414, 66.531774, 77.351153, 165.413002], [8.584248, 8.701143, 8.907210, 9.425143, 9.610411, 9.841238, 11.593095, 12.712877, 14.755645, 153.859023], [19.645796, 19.819143, 20.735570, 21.039858, 22.184549, 24.791593, 27.886801, 28.862835, 35.527065, 41.730260], [24.897544, 25.091791, 28.314496, 28.776098, 30.040407, 30.588740, 36.292010, 36.627653, 37.918093, 83.841647]]
### 6
fourier: [[4.273956, 4.352898, 4.717902, 5.161524, 5.224093, 5.240217, 5.325797, 5.868554, 6.321443, 72.120453], [22.645595, 22.748195, 24.709485, 24.840605, 25.315669, 27.960444, 30.293419, 30.969849, 41.575796, 182.149651], [6.245518, 6.713859, 6.730554, 6.783126, 6.871456, 6.958303, 7.168107, 7.710071, 8.590566, 73.242616], [28.644707, 29.257886, 29.587840, 35.787236, 36.683271, 41.973191, 42.756678, 50.556187, 58.952104, 97.570190], [14.915177, 15.248116, 15.697311, 16.009420, 18.114980, 20.883362, 22.847386, 25.798442, 27.998944, 62.292467], [26.888510, 27.322352, 27.837036, 29.239841, 29.691859, 31.343492, 36.540460, 40.867667, 41.152438, 159.051677]]
### 8
fourier: [[32.711209, 32.832981, 32.955769, 36.597256, 39.678142, 44.061043, 51.277566, 53.868567, 55.895868, 81.893290], [33.176684, 33.602988, 35.498589, 36.961537, 41.645250, 46.987638, 49.932644, 56.844651, 59.448997, 63.374216], [8.512961, 9.216061, 9.252544, 9.365439, 9.511766, 9.717508, 10.686801, 12.935695, 13.130813, 82.510922], [21.567995, 22.486323, 22.852931, 24.125777, 26.126139, 27.922456, 31.747727, 32.545046, 38.112051, 44.208088], [20.974063, 21.393187, 21.742326, 23.537335, 24.809369, 27.376869, 32.283301, 33.167811, 35.373579, 134.053021], [18.958840, 19.185931, 19.429560, 21.401021, 22.684324, 24.994771, 29.826681, 30.151354, 31.796161, 105.040901]]
### 10
fourier: [[19.611899, 20.117568, 20.225527, 21.919581, 24.587275, 26.521909, 30.673363, 32.370375, 33.600391, 128.247071], [50.245872, 52.385770, 52.935543, 58.345022, 67.499034, 72.979866, 73.140331, 85.546281, 103.259132, 103.898784], [52.434712, 53.941967, 55.086199, 63.586068, 70.744850, 76.225650, 76.793963, 89.253748, 111.516126, 171.465739], [13.651715, 14.331921, 14.797408, 15.614782, 15.700977, 15.974904, 16.797065, 17.721529, 27.304425, 129.033002], [7.743705, 7.945174, 8.977685, 9.730142, 9.980780, 10.322009, 10.706501, 12.225765, 16.820739, 67.479946], [5.140132, 5.497278, 5.825485, 5.855065, 5.994047, 6.235263, 6.420402, 6.808263, 7.463060, 107.340064]]
### 12
fourier: [[64.958119, 65.892953, 66.412281, 78.501191, 86.501699, 87.154773, 91.302137, 103.272595, 137.834458, 261.112720]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[0.508092, 0.031212, 0.084904, -0.101635, 0.85027], [-0.484296, 0.605174, 0.407564, 0.213125, -0.788358], [-0.625568, 0.09093, -0.69829, -0.637302, -0.00206], [-1.22614, -0.039629, -0.03528, 0.100436, 0.769718], [-0.288726, -0.179631, 0.021404, 0.57277, -0.491305], [0.793947, -0.340167, 0.069872, 0.261154, 1.017387]], "network.0.bias": [-0.453878, -0.027651, -0.537646, 0.168847, 0.009403, -0.121677], "network.2.weight": [[-0.354521, -0.161159, -0.244681, -0.58086, -0.238999, -0.074598], [-0.346318, 0.465654, 0.017662, 0.019643, 0.193696, -0.337102], [-0.281922, -0.321237, -0.012868, 0.523827, -0.201585, -0.290526], [0.721125, -0.321494, 0.04246, 0.852128, -0.534544, 0.411082], [-0.347834, 0.461419, -0.046581, -0.420756, 0.748012, 0.333089], [-0.169652, -0.240162, -0.170125, 0.262665, -0.057061, -0.256113]], "network.2.bias": [-0.369162, 0.126572, 0.280094, -0.453143, 0.271028, -0.372518], "network.4.weight": [[0.041767, 0.422465, -1.000142, -0.640326, 0.009026, 0.151135], [0.254628, 0.094821, -0.10209, -0.201895, -0.473886, -0.13885], [0.061965, -0.308157, -0.189404, 1.078971, 0.043208, -0.048389], [-0.186986, 0.128601, 0.20442, -0.255987, -0.442529, 0.176087], [0.060418, -0.112639, -0.166034, -0.413397, 0.494596, -0.232215], [0.409399, 0.697035, -0.091299, -0.313175, 0.63787, -0.047796]], "network.4.bias": [0.024304, -0.753317, -0.25246, -0.662099, 0.713026, 0.293741], "network.6.weight": [[0.251437, -0.248769, -0.113599, -0.038623, -0.27219, -0.212126], [-0.510178, 0.402261, -0.686053, -0.39251, 0.045727, -0.444856], [-0.102446, -0.305247, -0.16402, -0.507831, 0.253664, -0.370964], [0.177831, 0.237622, 0.685105, 0.201177, -0.289411, -0.222027], [-0.318185, 0.093075, -0.244123, -0.017191, 0.460113, 0.211364], [0.304109, 0.006565, -0.145672, -0.119139, 0.7909, 0.649047]], "network.6.bias": [-0.104389, 0.084965, -0.18985, 0.149884, 0.594887, 0.436167], "network.8.weight": [[-0.372693, 0.17451, -0.122368, 0.411182, -0.765389, -0.699036], [-0.366978, 0.518166, 0.156097, 0.842253, -0.196324, -0.52217], [-0.271321, -0.388769, -0.395264, 0.024978, 0.167364, -0.399861], [0.231929, -0.60181, -0.30726, 0.650744, -0.254517, -0.188353], [-0.25271, -0.389014, -0.066649, -0.174958, 0.559565, 0.497621], [0.314931, -0.024615, 0.237086, -0.216589, 0.200403, 0.530302]], "network.8.bias": [0.555436, 0.610625, -0.352873, -0.081192, 0.259795, 0.281609], "network.10.weight": [[-0.207814, -0.092046, 0.250032, -0.045996, 0.465498, 0.39523], [0.997859, 0.858079, -0.234133, 0.255808, -0.536707, -0.344936], [0.722546, 1.029772, -0.255402, 0.589129, -0.417362, -0.261697], [-0.318799, -0.317121, -0.308992, -0.204175, 0.0328, -0.320015], [-0.019491, -0.273874, -0.210216, -0.076956, 0.11988, -0.184401], [-0.091613, -0.34086, -0.237877, 0.216848, -0.01337, -0.486825]], "network.10.bias": [0.452835, 0.292781, 0.404767, -0.174093, -0.220612, -0.140948], "network.12.weight": [[0.370115, -0.643037, -0.724924, 0.008694, -0.223419, -0.093525]], "network.12.bias": [-0.084011]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.680576503276825, "train_acc": 0.6, "val_loss": 0.7617911696434021, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6701228022575378, "train_acc": 0.6, "val_loss": 0.7515822649002075, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6736054420471191, "train_acc": 0.6, "val_loss": 0.748561680316925, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6626871526241302, "train_acc": 0.6, "val_loss": 0.7308288812637329, "val_acc": 0.38}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6351937055587769, "train_acc": 0.6, "val_loss": 0.680633008480072, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6174202263355255, "train_acc": 0.54, "val_loss": 0.4933830499649048, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5170125663280487, "train_acc": 0.755, "val_loss": 0.4583771526813507, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47735175490379333, "train_acc": 0.735, "val_loss": 0.5322333574295044, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.47269394993782043, "train_acc": 0.785, "val_loss": 0.5253759622573853, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.44231081008911133, "train_acc": 0.805, "val_loss": 0.4510990083217621, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.40931886434555054, "train_acc": 0.78, "val_loss": 0.40498825907707214, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.40391768515110016, "train_acc": 0.8, "val_loss": 0.42752349376678467, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4038034677505493, "train_acc": 0.81, "val_loss": 0.4428021311759949, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.37463898956775665, "train_acc": 0.83, "val_loss": 0.3720242381095886, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.40170085430145264, "train_acc": 0.805, "val_loss": 0.3850495219230652, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7617911696434021, "final_val_loss": 0.680633008480072, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.4933830499649048, "final_val_loss": 0.3850495219230652, "initial_val_acc": 0.78, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 13}, "improvement": 0.45999999999999996, "first_improvement_epoch": 4}}
|
256
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.84, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3046, "learning_rate": 0.06399807994790246, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[29.315086, 29.584650, 29.733256, 31.703933, 33.041296, 36.326557, 36.413902, 37.091700, 38.482456, 145.846589], [39.595472, 39.674713, 41.888702, 43.938532, 44.012072, 44.371910, 46.679814, 48.229140, 51.468653, 206.469942], [19.743451, 20.036672, 21.113110, 21.195699, 21.276605, 25.568788, 25.823295, 30.469856, 33.873856, 264.228835], [31.191463, 33.455228, 35.361597, 37.125096, 37.709993, 38.573668, 38.907552, 39.995099, 49.813820, 142.347687], [23.755270, 26.250550, 26.595169, 30.652360, 31.575343, 31.965545, 34.308390, 36.811291, 39.907195, 139.082559], [10.698147, 10.891670, 11.485191, 11.708755, 11.991315, 13.026793, 13.690146, 14.125499, 17.050418, 130.461414], [24.112652, 26.288408, 26.476870, 26.670756, 28.046607, 28.658918, 28.898854, 29.332871, 34.882651, 36.626709]]
### 2
fourier: [[61.628438, 62.407270, 67.375019, 71.900203, 71.954212, 73.269387, 74.085935, 83.063582, 89.770021, 415.055532], [17.999580, 18.258195, 18.459730, 19.386688, 21.835259, 21.998539, 22.888791, 25.306576, 27.375719, 34.553947], [86.868416, 86.950942, 99.126261, 99.731579, 101.889164, 102.212293, 102.241615, 108.980616, 123.344906, 570.647709], [9.068873, 9.335278, 9.465028, 9.867393, 10.790755, 11.483851, 11.505856, 11.840168, 12.663001, 66.607532], [59.362629, 59.449142, 67.241048, 68.350442, 69.138054, 69.378572, 70.039780, 71.140837, 82.265771, 415.523132], [33.156599, 34.789324, 36.247003, 38.095411, 39.854644, 40.742640, 42.106695, 50.682457, 53.529682, 142.315718], [26.085013, 27.947204, 28.729690, 28.906738, 29.806007, 29.926487, 33.113620, 35.430975, 35.727323, 208.743712]]
### 4
fourier: [[7.260237, 7.264668, 8.483336, 8.695325, 9.024455, 9.070943, 10.944713, 11.030236, 11.154506, 70.338385], [78.271280, 81.041650, 87.169559, 88.093956, 92.827196, 94.486522, 98.289454, 114.024245, 121.875842, 358.184051], [167.556588, 169.770960, 190.872496, 193.958007, 196.155087, 196.188379, 201.127042, 205.940709, 238.012148, 1152.921871], [54.243330, 55.840768, 60.703058, 60.797288, 64.551232, 65.887735, 68.007675, 79.303939, 83.824543, 272.681902], [22.552319, 22.633470, 23.685176, 23.949635, 25.420699, 25.425129, 26.297582, 27.133245, 30.774367, 170.168161], [156.377321, 158.712878, 178.938781, 180.282573, 183.624366, 184.156908, 187.908476, 194.843249, 223.244956, 1064.049211], [162.055233, 163.851973, 183.225540, 190.381147, 192.397461, 193.052043, 194.287826, 211.403606, 233.677999, 1076.381593]]
### 6
fourier: [[41.220449, 42.327513, 43.315005, 44.189133, 47.567999, 54.277742, 56.876851, 62.384489, 73.522691, 87.241762], [113.188906, 116.302094, 118.216539, 119.849507, 127.668039, 129.029985, 137.983007, 140.062877, 157.226028, 822.872815], [6.110998, 6.389677, 7.172003, 7.475740, 7.538618, 9.087937, 9.490309, 9.917336, 11.306830, 94.043007], [155.157981, 159.151269, 171.943932, 180.864139, 181.617344, 183.526665, 185.187977, 188.067711, 220.104687, 1084.929666], [141.041731, 146.461313, 149.942564, 157.040511, 161.554150, 162.736028, 171.902172, 172.142146, 198.042224, 1009.365618], [130.672936, 132.919171, 149.733842, 151.096703, 154.064461, 154.220236, 157.596644, 163.268432, 186.963281, 893.603237], [339.072947, 341.847730, 381.156834, 403.890871, 403.998990, 406.100879, 406.414365, 447.382064, 490.324898, 2313.005286]]
### 8
fourier: [[280.178505, 282.261678, 307.611533, 335.676157, 336.633500, 339.748362, 342.808083, 383.651759, 408.268899, 1864.162116], [44.983549, 45.424674, 46.197775, 49.108726, 51.208184, 56.099131, 59.399847, 61.364632, 71.554425, 209.884340], [92.324521, 96.195563, 102.448177, 108.623798, 109.133290, 109.478368, 111.443049, 114.177479, 132.412685, 669.114183], [70.725336, 73.699064, 78.450804, 83.199175, 83.593259, 83.819649, 85.393103, 87.470860, 101.426205, 524.743122], [276.327637, 276.608109, 304.973606, 330.641583, 331.010129, 333.319321, 334.521803, 373.117121, 400.891524, 1872.586043], [68.842572, 72.582265, 73.478566, 77.086920, 79.781756, 80.529247, 85.241015, 85.612081, 97.901601, 533.343645], [6.651946, 6.904997, 7.074842, 7.143578, 7.625785, 7.722292, 8.302092, 8.378839, 9.406474, 82.467543]]
### 10
fourier: [[74.963276, 75.320029, 82.143450, 90.001931, 90.247346, 91.018230, 91.597539, 102.593381, 109.172070, 539.552104], [129.357329, 130.639299, 144.576212, 155.920879, 155.958902, 157.097241, 157.282514, 173.573162, 188.753614, 913.099645], [61.242044, 62.229171, 66.140521, 73.319729, 74.248126, 75.043792, 76.306637, 86.167832, 89.835312, 411.694410], [319.107261, 322.508647, 356.322750, 384.817556, 385.100636, 388.301849, 388.765488, 428.923393, 466.382119, 2165.897655], [8.775906, 9.185795, 10.280453, 10.390246, 10.771241, 10.871191, 11.166519, 11.490996, 13.093414, 107.770071], [457.504057, 469.809133, 525.126953, 546.103608, 555.057742, 558.713806, 567.037185, 603.500426, 672.702729, 3167.045670], [27.095562, 27.326796, 28.328318, 31.410957, 32.285004, 32.608367, 33.788443, 38.275575, 39.011314, 194.437591]]
### 12
fourier: [[169.152517, 172.144460, 191.426974, 202.770515, 204.294279, 205.815851, 207.253316, 225.063141, 247.685537, 1104.403192]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[29.315086, 29.584650, 29.733256, 31.703933, 33.041296, 36.326557, 36.413902, 37.091700, 38.482456, 145.846589], [39.595472, 39.674713, 41.888702, 43.938532, 44.012072, 44.371910, 46.679814, 48.229140, 51.468653, 206.469942], [19.743451, 20.036672, 21.113110, 21.195699, 21.276605, 25.568788, 25.823295, 30.469856, 33.873856, 264.228835], [31.191463, 33.455228, 35.361597, 37.125096, 37.709993, 38.573668, 38.907552, 39.995099, 49.813820, 142.347687], [23.755270, 26.250550, 26.595169, 30.652360, 31.575343, 31.965545, 34.308390, 36.811291, 39.907195, 139.082559], [10.698147, 10.891670, 11.485191, 11.708755, 11.991315, 13.026793, 13.690146, 14.125499, 17.050418, 130.461414], [24.112652, 26.288408, 26.476870, 26.670756, 28.046607, 28.658918, 28.898854, 29.332871, 34.882651, 36.626709]]
### 2
fourier: [[61.628438, 62.407270, 67.375019, 71.900203, 71.954212, 73.269387, 74.085935, 83.063582, 89.770021, 415.055532], [17.999580, 18.258195, 18.459730, 19.386688, 21.835259, 21.998539, 22.888791, 25.306576, 27.375719, 34.553947], [86.868416, 86.950942, 99.126261, 99.731579, 101.889164, 102.212293, 102.241615, 108.980616, 123.344906, 570.647709], [9.068873, 9.335278, 9.465028, 9.867393, 10.790755, 11.483851, 11.505856, 11.840168, 12.663001, 66.607532], [59.362629, 59.449142, 67.241048, 68.350442, 69.138054, 69.378572, 70.039780, 71.140837, 82.265771, 415.523132], [33.156599, 34.789324, 36.247003, 38.095411, 39.854644, 40.742640, 42.106695, 50.682457, 53.529682, 142.315718], [26.085013, 27.947204, 28.729690, 28.906738, 29.806007, 29.926487, 33.113620, 35.430975, 35.727323, 208.743712]]
### 4
fourier: [[7.260237, 7.264668, 8.483336, 8.695325, 9.024455, 9.070943, 10.944713, 11.030236, 11.154506, 70.338385], [78.271280, 81.041650, 87.169559, 88.093956, 92.827196, 94.486522, 98.289454, 114.024245, 121.875842, 358.184051], [167.556588, 169.770960, 190.872496, 193.958007, 196.155087, 196.188379, 201.127042, 205.940709, 238.012148, 1152.921871], [54.243330, 55.840768, 60.703058, 60.797288, 64.551232, 65.887735, 68.007675, 79.303939, 83.824543, 272.681902], [22.552319, 22.633470, 23.685176, 23.949635, 25.420699, 25.425129, 26.297582, 27.133245, 30.774367, 170.168161], [156.377321, 158.712878, 178.938781, 180.282573, 183.624366, 184.156908, 187.908476, 194.843249, 223.244956, 1064.049211], [162.055233, 163.851973, 183.225540, 190.381147, 192.397461, 193.052043, 194.287826, 211.403606, 233.677999, 1076.381593]]
### 6
fourier: [[41.220449, 42.327513, 43.315005, 44.189133, 47.567999, 54.277742, 56.876851, 62.384489, 73.522691, 87.241762], [113.188906, 116.302094, 118.216539, 119.849507, 127.668039, 129.029985, 137.983007, 140.062877, 157.226028, 822.872815], [6.110998, 6.389677, 7.172003, 7.475740, 7.538618, 9.087937, 9.490309, 9.917336, 11.306830, 94.043007], [155.157981, 159.151269, 171.943932, 180.864139, 181.617344, 183.526665, 185.187977, 188.067711, 220.104687, 1084.929666], [141.041731, 146.461313, 149.942564, 157.040511, 161.554150, 162.736028, 171.902172, 172.142146, 198.042224, 1009.365618], [130.672936, 132.919171, 149.733842, 151.096703, 154.064461, 154.220236, 157.596644, 163.268432, 186.963281, 893.603237], [339.072947, 341.847730, 381.156834, 403.890871, 403.998990, 406.100879, 406.414365, 447.382064, 490.324898, 2313.005286]]
### 8
fourier: [[280.178505, 282.261678, 307.611533, 335.676157, 336.633500, 339.748362, 342.808083, 383.651759, 408.268899, 1864.162116], [44.983549, 45.424674, 46.197775, 49.108726, 51.208184, 56.099131, 59.399847, 61.364632, 71.554425, 209.884340], [92.324521, 96.195563, 102.448177, 108.623798, 109.133290, 109.478368, 111.443049, 114.177479, 132.412685, 669.114183], [70.725336, 73.699064, 78.450804, 83.199175, 83.593259, 83.819649, 85.393103, 87.470860, 101.426205, 524.743122], [276.327637, 276.608109, 304.973606, 330.641583, 331.010129, 333.319321, 334.521803, 373.117121, 400.891524, 1872.586043], [68.842572, 72.582265, 73.478566, 77.086920, 79.781756, 80.529247, 85.241015, 85.612081, 97.901601, 533.343645], [6.651946, 6.904997, 7.074842, 7.143578, 7.625785, 7.722292, 8.302092, 8.378839, 9.406474, 82.467543]]
### 10
fourier: [[74.963276, 75.320029, 82.143450, 90.001931, 90.247346, 91.018230, 91.597539, 102.593381, 109.172070, 539.552104], [129.357329, 130.639299, 144.576212, 155.920879, 155.958902, 157.097241, 157.282514, 173.573162, 188.753614, 913.099645], [61.242044, 62.229171, 66.140521, 73.319729, 74.248126, 75.043792, 76.306637, 86.167832, 89.835312, 411.694410], [319.107261, 322.508647, 356.322750, 384.817556, 385.100636, 388.301849, 388.765488, 428.923393, 466.382119, 2165.897655], [8.775906, 9.185795, 10.280453, 10.390246, 10.771241, 10.871191, 11.166519, 11.490996, 13.093414, 107.770071], [457.504057, 469.809133, 525.126953, 546.103608, 555.057742, 558.713806, 567.037185, 603.500426, 672.702729, 3167.045670], [27.095562, 27.326796, 28.328318, 31.410957, 32.285004, 32.608367, 33.788443, 38.275575, 39.011314, 194.437591]]
### 12
fourier: [[169.152517, 172.144460, 191.426974, 202.770515, 204.294279, 205.815851, 207.253316, 225.063141, 247.685537, 1104.403192]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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257
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{"target_pattern": "contains_abc", "degraded_accuracy": 0.6, "improved_accuracy": 1.0, "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": 6094, "learning_rate": 0.07483508708132526, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[43.033729, 47.270568, 50.075461, 51.257047, 52.448647, 54.133661, 54.436457, 54.465373, 65.506642, 207.627990], [31.004474, 32.493135, 35.291103, 35.540810, 36.395413, 37.098432, 43.131171, 43.611615, 51.845590, 221.880422], [45.176562, 45.617275, 47.799938, 48.885912, 48.950810, 51.102560, 59.757773, 61.280462, 63.245198, 295.233228], [54.391373, 54.477067, 58.974390, 59.083350, 59.106543, 59.320960, 68.756398, 72.920020, 78.673340, 413.887404], [42.943520, 43.292045, 44.499107, 45.593257, 46.477134, 49.456065, 54.369295, 58.012152, 61.128616, 369.343923], [36.429016, 37.126295, 37.862434, 39.057257, 40.138635, 40.434642, 40.857317, 54.348275, 54.717677, 117.975686]]
### 2
fourier: [[110.801091, 111.272870, 121.842413, 129.330972, 130.892871, 137.945322, 144.096207, 152.812117, 154.222502, 709.721601], [83.534189, 93.769337, 97.889380, 102.343577, 106.221664, 107.212774, 110.743333, 113.508342, 120.268674, 478.864272], [108.767705, 122.970911, 125.248232, 128.254751, 132.736972, 133.033144, 141.822031, 147.463875, 156.454446, 787.768477], [68.970518, 73.797873, 80.928570, 82.492765, 83.642504, 85.487147, 89.918081, 93.671997, 94.926402, 458.967829], [101.451973, 109.414869, 117.576087, 125.353993, 127.315721, 131.287391, 132.625674, 137.982351, 147.923561, 644.824150], [103.321271, 119.673947, 126.583595, 131.412846, 132.595633, 133.919699, 135.256360, 139.055948, 151.010050, 614.677603]]
### 4
fourier: [[250.531430, 281.272597, 297.881735, 315.446709, 323.660221, 326.497321, 333.373070, 343.034301, 363.298469, 1507.971595], [292.889236, 316.402166, 339.309678, 360.803148, 368.156977, 380.442362, 381.415718, 401.172533, 420.066175, 1882.143497], [81.347486, 89.515167, 96.690423, 102.404628, 103.668360, 106.675479, 106.971559, 110.278388, 117.186613, 496.662536], [116.182067, 130.859906, 139.441893, 147.224713, 150.069697, 151.822358, 155.051129, 156.305151, 169.646031, 728.581978], [209.702730, 232.966538, 247.358897, 262.120052, 268.681880, 273.278378, 277.457777, 287.042551, 303.442131, 1285.684649], [130.310274, 146.170242, 156.527297, 166.133907, 168.997029, 170.480342, 173.405528, 178.295239, 188.957709, 845.827864]]
### 6
fourier: [[38.325236, 43.237026, 46.396453, 49.005645, 50.186307, 50.510330, 51.030743, 52.383761, 53.995372, 184.938815], [236.531517, 267.128542, 281.294015, 299.158928, 308.007705, 308.205454, 315.190769, 324.694141, 341.738631, 1443.042756], [124.439228, 139.197009, 147.186533, 156.192510, 160.469802, 162.082153, 165.084137, 170.764202, 180.220966, 804.506207], [120.621835, 136.924255, 143.153369, 152.522766, 155.927839, 157.253864, 160.658396, 164.775606, 174.152271, 729.459944], [73.165250, 82.913399, 88.046558, 93.457582, 95.671006, 96.316191, 97.678323, 100.348266, 104.218917, 356.789460], [177.767838, 201.602342, 212.517101, 226.143908, 232.215920, 232.945562, 237.534019, 244.419937, 256.084701, 1057.216731]]
### 8
fourier: [[251.295647, 283.776896, 302.208661, 320.569889, 329.739829, 332.720826, 337.185421, 348.099438, 362.686121, 1452.024109], [137.673411, 157.781083, 160.920302, 173.577384, 174.175161, 180.021958, 182.336768, 185.386932, 197.495841, 884.672084], [441.874730, 503.320657, 522.517526, 559.354686, 569.068823, 577.930042, 587.608622, 601.750806, 635.237634, 2758.231627], [141.909592, 160.341923, 171.043295, 181.449633, 186.621316, 188.446341, 190.744721, 196.705677, 204.640576, 816.221736], [112.515888, 129.874057, 130.241076, 139.049094, 141.411531, 147.293482, 148.098057, 148.906057, 160.115652, 702.400240], [159.644980, 182.052110, 189.091850, 202.292439, 205.713596, 208.982199, 212.249580, 217.373340, 229.123283, 1028.562459]]
### 10
fourier: [[200.357966, 226.579572, 238.564637, 254.553618, 261.960379, 262.140333, 267.839433, 272.788369, 286.525613, 1085.482986]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[43.033729, 47.270568, 50.075461, 51.257047, 52.448647, 54.133661, 54.436457, 54.465373, 65.506642, 207.627990], [31.004474, 32.493135, 35.291103, 35.540810, 36.395413, 37.098432, 43.131171, 43.611615, 51.845590, 221.880422], [45.176562, 45.617275, 47.799938, 48.885912, 48.950810, 51.102560, 59.757773, 61.280462, 63.245198, 295.233228], [54.391373, 54.477067, 58.974390, 59.083350, 59.106543, 59.320960, 68.756398, 72.920020, 78.673340, 413.887404], [42.943520, 43.292045, 44.499107, 45.593257, 46.477134, 49.456065, 54.369295, 58.012152, 61.128616, 369.343923], [36.429016, 37.126295, 37.862434, 39.057257, 40.138635, 40.434642, 40.857317, 54.348275, 54.717677, 117.975686]]
### 2
fourier: [[110.801091, 111.272870, 121.842413, 129.330972, 130.892871, 137.945322, 144.096207, 152.812117, 154.222502, 709.721601], [83.534189, 93.769337, 97.889380, 102.343577, 106.221664, 107.212774, 110.743333, 113.508342, 120.268674, 478.864272], [108.767705, 122.970911, 125.248232, 128.254751, 132.736972, 133.033144, 141.822031, 147.463875, 156.454446, 787.768477], [68.970518, 73.797873, 80.928570, 82.492765, 83.642504, 85.487147, 89.918081, 93.671997, 94.926402, 458.967829], [101.451973, 109.414869, 117.576087, 125.353993, 127.315721, 131.287391, 132.625674, 137.982351, 147.923561, 644.824150], [103.321271, 119.673947, 126.583595, 131.412846, 132.595633, 133.919699, 135.256360, 139.055948, 151.010050, 614.677603]]
### 4
fourier: [[250.531430, 281.272597, 297.881735, 315.446709, 323.660221, 326.497321, 333.373070, 343.034301, 363.298469, 1507.971595], [292.889236, 316.402166, 339.309678, 360.803148, 368.156977, 380.442362, 381.415718, 401.172533, 420.066175, 1882.143497], [81.347486, 89.515167, 96.690423, 102.404628, 103.668360, 106.675479, 106.971559, 110.278388, 117.186613, 496.662536], [116.182067, 130.859906, 139.441893, 147.224713, 150.069697, 151.822358, 155.051129, 156.305151, 169.646031, 728.581978], [209.702730, 232.966538, 247.358897, 262.120052, 268.681880, 273.278378, 277.457777, 287.042551, 303.442131, 1285.684649], [130.310274, 146.170242, 156.527297, 166.133907, 168.997029, 170.480342, 173.405528, 178.295239, 188.957709, 845.827864]]
### 6
fourier: [[38.325236, 43.237026, 46.396453, 49.005645, 50.186307, 50.510330, 51.030743, 52.383761, 53.995372, 184.938815], [236.531517, 267.128542, 281.294015, 299.158928, 308.007705, 308.205454, 315.190769, 324.694141, 341.738631, 1443.042756], [124.439228, 139.197009, 147.186533, 156.192510, 160.469802, 162.082153, 165.084137, 170.764202, 180.220966, 804.506207], [120.621835, 136.924255, 143.153369, 152.522766, 155.927839, 157.253864, 160.658396, 164.775606, 174.152271, 729.459944], [73.165250, 82.913399, 88.046558, 93.457582, 95.671006, 96.316191, 97.678323, 100.348266, 104.218917, 356.789460], [177.767838, 201.602342, 212.517101, 226.143908, 232.215920, 232.945562, 237.534019, 244.419937, 256.084701, 1057.216731]]
### 8
fourier: [[251.295647, 283.776896, 302.208661, 320.569889, 329.739829, 332.720826, 337.185421, 348.099438, 362.686121, 1452.024109], [137.673411, 157.781083, 160.920302, 173.577384, 174.175161, 180.021958, 182.336768, 185.386932, 197.495841, 884.672084], [441.874730, 503.320657, 522.517526, 559.354686, 569.068823, 577.930042, 587.608622, 601.750806, 635.237634, 2758.231627], [141.909592, 160.341923, 171.043295, 181.449633, 186.621316, 188.446341, 190.744721, 196.705677, 204.640576, 816.221736], [112.515888, 129.874057, 130.241076, 139.049094, 141.411531, 147.293482, 148.098057, 148.906057, 160.115652, 702.400240], [159.644980, 182.052110, 189.091850, 202.292439, 205.713596, 208.982199, 212.249580, 217.373340, 229.123283, 1028.562459]]
### 10
fourier: [[200.357966, 226.579572, 238.564637, 254.553618, 261.960379, 262.140333, 267.839433, 272.788369, 286.525613, 1085.482986]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7584328353404999, "train_acc": 0.425, "val_loss": 0.6855779886245728, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6781423091888428, "train_acc": 0.46, "val_loss": 0.8178882002830505, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6549270153045654, "train_acc": 0.575, "val_loss": 0.6610966324806213, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.636576235294342, "train_acc": 0.585, "val_loss": 0.637164831161499, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5949385464191437, "train_acc": 0.56, "val_loss": 0.5264540314674377, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5104817152023315, "train_acc": 0.87, "val_loss": 0.42787230014801025, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.392389252781868, "train_acc": 0.905, "val_loss": 0.35128462314605713, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.34670113027095795, "train_acc": 0.83, "val_loss": 0.28941452503204346, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.31062816083431244, "train_acc": 0.91, "val_loss": 0.24868139624595642, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.24699442833662033, "train_acc": 0.93, "val_loss": 0.1539468616247177, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.18353938311338425, "train_acc": 0.955, "val_loss": 0.11900158226490021, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.13740362226963043, "train_acc": 0.98, "val_loss": 0.11716362088918686, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.14653674513101578, "train_acc": 0.965, "val_loss": 0.1211170107126236, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.13647575676441193, "train_acc": 0.965, "val_loss": 0.10011617839336395, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6855779886245728, "final_val_loss": 0.637164831161499, "initial_val_acc": 0.54, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5264540314674377, "final_val_loss": 0.10011617839336395, "initial_val_acc": 0.86, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 9}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
258
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3026, "learning_rate": 0.06534669999794668, "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.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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## Activation Signature
### 0
fourier: [[35.115786, 35.271911, 35.335069, 36.237751, 37.062340, 37.587490, 39.225236, 39.960018, 41.877516, 46.552675], [22.107781, 22.272164, 24.585291, 28.864883, 29.037125, 34.111724, 34.688218, 39.787652, 42.927150, 148.106198], [20.124962, 21.362793, 24.287397, 27.035889, 27.261296, 27.269516, 27.331116, 28.790041, 28.795913, 250.177245], [21.197952, 22.596056, 22.814118, 25.468159, 25.941167, 26.603084, 26.856873, 28.945522, 31.677950, 33.305964], [28.855040, 29.279669, 29.626343, 30.666820, 36.526111, 37.826740, 40.987791, 41.181828, 50.815348, 136.741610], [20.830610, 22.514146, 22.570482, 23.803417, 25.320968, 26.720466, 28.087071, 36.950849, 38.105458, 69.029718], [15.150228, 15.519489, 16.035715, 16.087783, 16.679024, 17.019341, 17.283631, 18.912828, 19.511743, 28.884925]]
### 2
fourier: [[28.685084, 30.922866, 31.862222, 33.987157, 35.629809, 37.392755, 38.194954, 48.667395, 53.025406, 60.460077], [23.257639, 25.312897, 25.768376, 27.294509, 28.588342, 29.223708, 33.145085, 34.037576, 42.858060, 109.565313], [21.710731, 22.251557, 24.764226, 26.805146, 28.346863, 33.241026, 35.819180, 41.008008, 42.588648, 190.168907], [10.018405, 10.092597, 10.941287, 11.991716, 12.026971, 13.997395, 14.038199, 14.039114, 16.033150, 44.834146], [44.599272, 44.633397, 44.756015, 47.022491, 49.927742, 51.081831, 53.926698, 70.231145, 80.539778, 220.444957], [24.550389, 25.576224, 28.609582, 30.679425, 31.945888, 44.436417, 46.672355, 46.758535, 53.425090, 229.683782], [45.017611, 45.711842, 49.346281, 51.657259, 52.038293, 53.412560, 54.044272, 73.641578, 84.420133, 273.368643]]
### 4
fourier: [[34.693563, 35.122208, 36.082021, 38.622107, 41.627627, 41.755592, 43.143710, 57.215178, 65.870526, 132.663269], [24.301976, 25.885623, 27.405768, 27.933481, 28.035110, 29.833632, 30.822246, 39.784040, 48.992246, 194.036068], [69.119852, 74.975013, 78.501525, 81.933953, 86.635875, 91.743051, 92.650659, 124.169928, 138.414296, 399.273854], [72.563580, 72.590744, 75.314321, 82.719882, 87.030244, 88.836696, 89.450785, 120.644241, 135.944067, 379.977774], [19.846234, 22.017927, 22.193305, 24.132164, 25.332187, 26.293118, 26.847257, 35.967409, 39.616459, 145.985121], [18.124570, 20.978772, 21.247787, 21.997571, 22.192402, 22.926554, 23.835492, 32.083019, 38.910697, 90.832625], [16.667738, 16.834236, 16.913758, 17.102520, 17.711964, 20.764749, 22.539352, 25.240583, 31.609419, 134.720735]]
### 6
fourier: [[46.651330, 50.026941, 52.323205, 55.615385, 56.277687, 57.352177, 58.881964, 81.154229, 93.888142, 290.841963], [20.676521, 21.799107, 21.974251, 24.529784, 24.755321, 25.585642, 25.852895, 35.567611, 40.612442, 143.297969], [22.718551, 24.662571, 24.697307, 25.793386, 27.769401, 28.309289, 30.212189, 39.248003, 44.171592, 135.111762], [34.474919, 38.991959, 40.608626, 41.606062, 42.202814, 43.775582, 44.261672, 61.546623, 72.046803, 248.871083], [99.250428, 103.209523, 106.498984, 119.205912, 119.776605, 122.250132, 125.275466, 172.634747, 195.256443, 550.354939], [2.453604, 2.491919, 2.514393, 2.965275, 2.993775, 3.011148, 3.114886, 4.243251, 4.666808, 42.432507], [11.634246, 11.973896, 12.966198, 13.400361, 15.149029, 15.987330, 16.258133, 16.452049, 22.421764, 23.300673]]
### 8
fourier: [[53.699806, 57.839529, 58.889575, 65.587388, 65.639752, 67.291583, 68.319451, 94.958223, 108.501828, 290.746674], [7.051221, 8.216735, 8.262577, 8.281949, 8.306371, 8.368216, 8.522638, 11.694553, 14.855835, 128.032687], [54.361713, 59.813166, 61.128121, 66.204957, 66.610429, 67.859949, 68.745245, 95.789866, 111.362092, 344.320640], [44.498683, 48.085896, 48.999447, 54.262325, 54.429572, 55.738931, 56.587487, 78.685314, 90.056762, 262.542781], [84.115607, 88.374859, 89.743684, 102.271657, 102.473243, 105.664274, 107.663096, 149.344835, 166.688779, 452.857959], [40.461889, 44.618675, 45.572894, 49.498523, 49.527884, 50.448697, 51.038379, 71.119847, 83.166731, 252.807562], [70.061814, 74.009649, 75.240888, 85.111846, 85.590561, 88.142795, 89.827498, 124.662615, 139.284039, 376.271478]]
### 10
fourier: [[46.824514, 51.409934, 51.561444, 57.024281, 57.747295, 59.294998, 61.037856, 84.759458, 95.567698, 246.542723], [26.700853, 29.155741, 29.593632, 32.535850, 32.576231, 33.294472, 33.963374, 47.145735, 54.447155, 189.883399], [111.279634, 122.401876, 123.167615, 136.046803, 137.013848, 140.366690, 143.801033, 199.671848, 227.766768, 656.707572], [22.133797, 24.132362, 24.404919, 27.025032, 27.200831, 27.896650, 28.460760, 39.552188, 45.030427, 141.936381], [41.580154, 45.663555, 45.910798, 50.882666, 51.312261, 52.582369, 53.854933, 74.822085, 84.971895, 255.386002], [8.276737, 9.115163, 9.283148, 10.086044, 10.256009, 10.505900, 10.935361, 15.160960, 17.071125, 61.912120], [117.016370, 129.002607, 129.272154, 143.067572, 144.444074, 148.115891, 152.069688, 211.164546, 239.624231, 666.781493]]
### 12
fourier: [[79.611882, 87.561087, 87.835598, 97.196812, 98.156139, 100.792445, 103.380584, 143.563627, 162.732644, 407.311798]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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-0.217027,
-0.557252
]
],
"network.12.bias": [
0.516952
]
}
## Activation Signature
### 0
fourier: [[35.115786, 35.271911, 35.335069, 36.237751, 37.062340, 37.587490, 39.225236, 39.960018, 41.877516, 46.552675], [22.107781, 22.272164, 24.585291, 28.864883, 29.037125, 34.111724, 34.688218, 39.787652, 42.927150, 148.106198], [20.124962, 21.362793, 24.287397, 27.035889, 27.261296, 27.269516, 27.331116, 28.790041, 28.795913, 250.177245], [21.197952, 22.596056, 22.814118, 25.468159, 25.941167, 26.603084, 26.856873, 28.945522, 31.677950, 33.305964], [28.855040, 29.279669, 29.626343, 30.666820, 36.526111, 37.826740, 40.987791, 41.181828, 50.815348, 136.741610], [20.830610, 22.514146, 22.570482, 23.803417, 25.320968, 26.720466, 28.087071, 36.950849, 38.105458, 69.029718], [15.150228, 15.519489, 16.035715, 16.087783, 16.679024, 17.019341, 17.283631, 18.912828, 19.511743, 28.884925]]
### 2
fourier: [[28.685084, 30.922866, 31.862222, 33.987157, 35.629809, 37.392755, 38.194954, 48.667395, 53.025406, 60.460077], [23.257639, 25.312897, 25.768376, 27.294509, 28.588342, 29.223708, 33.145085, 34.037576, 42.858060, 109.565313], [21.710731, 22.251557, 24.764226, 26.805146, 28.346863, 33.241026, 35.819180, 41.008008, 42.588648, 190.168907], [10.018405, 10.092597, 10.941287, 11.991716, 12.026971, 13.997395, 14.038199, 14.039114, 16.033150, 44.834146], [44.599272, 44.633397, 44.756015, 47.022491, 49.927742, 51.081831, 53.926698, 70.231145, 80.539778, 220.444957], [24.550389, 25.576224, 28.609582, 30.679425, 31.945888, 44.436417, 46.672355, 46.758535, 53.425090, 229.683782], [45.017611, 45.711842, 49.346281, 51.657259, 52.038293, 53.412560, 54.044272, 73.641578, 84.420133, 273.368643]]
### 4
fourier: [[34.693563, 35.122208, 36.082021, 38.622107, 41.627627, 41.755592, 43.143710, 57.215178, 65.870526, 132.663269], [24.301976, 25.885623, 27.405768, 27.933481, 28.035110, 29.833632, 30.822246, 39.784040, 48.992246, 194.036068], [69.119852, 74.975013, 78.501525, 81.933953, 86.635875, 91.743051, 92.650659, 124.169928, 138.414296, 399.273854], [72.563580, 72.590744, 75.314321, 82.719882, 87.030244, 88.836696, 89.450785, 120.644241, 135.944067, 379.977774], [19.846234, 22.017927, 22.193305, 24.132164, 25.332187, 26.293118, 26.847257, 35.967409, 39.616459, 145.985121], [18.124570, 20.978772, 21.247787, 21.997571, 22.192402, 22.926554, 23.835492, 32.083019, 38.910697, 90.832625], [16.667738, 16.834236, 16.913758, 17.102520, 17.711964, 20.764749, 22.539352, 25.240583, 31.609419, 134.720735]]
### 6
fourier: [[46.651330, 50.026941, 52.323205, 55.615385, 56.277687, 57.352177, 58.881964, 81.154229, 93.888142, 290.841963], [20.676521, 21.799107, 21.974251, 24.529784, 24.755321, 25.585642, 25.852895, 35.567611, 40.612442, 143.297969], [22.718551, 24.662571, 24.697307, 25.793386, 27.769401, 28.309289, 30.212189, 39.248003, 44.171592, 135.111762], [34.474919, 38.991959, 40.608626, 41.606062, 42.202814, 43.775582, 44.261672, 61.546623, 72.046803, 248.871083], [99.250428, 103.209523, 106.498984, 119.205912, 119.776605, 122.250132, 125.275466, 172.634747, 195.256443, 550.354939], [2.453604, 2.491919, 2.514393, 2.965275, 2.993775, 3.011148, 3.114886, 4.243251, 4.666808, 42.432507], [11.634246, 11.973896, 12.966198, 13.400361, 15.149029, 15.987330, 16.258133, 16.452049, 22.421764, 23.300673]]
### 8
fourier: [[53.699806, 57.839529, 58.889575, 65.587388, 65.639752, 67.291583, 68.319451, 94.958223, 108.501828, 290.746674], [7.051221, 8.216735, 8.262577, 8.281949, 8.306371, 8.368216, 8.522638, 11.694553, 14.855835, 128.032687], [54.361713, 59.813166, 61.128121, 66.204957, 66.610429, 67.859949, 68.745245, 95.789866, 111.362092, 344.320640], [44.498683, 48.085896, 48.999447, 54.262325, 54.429572, 55.738931, 56.587487, 78.685314, 90.056762, 262.542781], [84.115607, 88.374859, 89.743684, 102.271657, 102.473243, 105.664274, 107.663096, 149.344835, 166.688779, 452.857959], [40.461889, 44.618675, 45.572894, 49.498523, 49.527884, 50.448697, 51.038379, 71.119847, 83.166731, 252.807562], [70.061814, 74.009649, 75.240888, 85.111846, 85.590561, 88.142795, 89.827498, 124.662615, 139.284039, 376.271478]]
### 10
fourier: [[46.824514, 51.409934, 51.561444, 57.024281, 57.747295, 59.294998, 61.037856, 84.759458, 95.567698, 246.542723], [26.700853, 29.155741, 29.593632, 32.535850, 32.576231, 33.294472, 33.963374, 47.145735, 54.447155, 189.883399], [111.279634, 122.401876, 123.167615, 136.046803, 137.013848, 140.366690, 143.801033, 199.671848, 227.766768, 656.707572], [22.133797, 24.132362, 24.404919, 27.025032, 27.200831, 27.896650, 28.460760, 39.552188, 45.030427, 141.936381], [41.580154, 45.663555, 45.910798, 50.882666, 51.312261, 52.582369, 53.854933, 74.822085, 84.971895, 255.386002], [8.276737, 9.115163, 9.283148, 10.086044, 10.256009, 10.505900, 10.935361, 15.160960, 17.071125, 61.912120], [117.016370, 129.002607, 129.272154, 143.067572, 144.444074, 148.115891, 152.069688, 211.164546, 239.624231, 666.781493]]
### 12
fourier: [[79.611882, 87.561087, 87.835598, 97.196812, 98.156139, 100.792445, 103.380584, 143.563627, 162.732644, 407.311798]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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"num_examples": 90, "profile_methods": ["fourier"]}}}, "model_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"}}
|
{"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": [[-0.858513, -0.16206, -0.133258, 0.19445, 1.096251], [0.479939, -0.068814, 0.080412, -0.144961, 0.796562], [0.171649, -0.159087, -0.527134, -0.283015, -0.486759], [0.148037, 0.045198, 0.519782, 0.134008, -0.918651], [0.741335, -0.032371, 0.157573, -0.207733, 0.663141], [-0.324504, -0.20855, 0.249894, -0.005411, 0.911268], [0.41911, 0.1132, -0.206757, 0.261378, -0.483325]], "network.0.bias": [0.338317, 0.334225, -0.395092, -0.285673, -0.045767, -0.083445, -0.138717], "network.2.weight": [[0.174147, -0.303434, -0.163661, 0.433533, -0.683604, -0.349155, 0.646245], [-0.333589, 0.650393, -0.419131, -0.09144, 0.232266, 0.29106, 0.225985], [-0.092261, -0.442525, -0.377857, -0.124756, -0.30456, -0.341842, 3.6e-05], [-0.083349, -0.08485, -0.3171, 0.474627, 0.288043, -0.485947, -0.677463], [0.810439, 0.591645, -0.12, -0.395671, 0.236205, 0.591023, 0.000558], [-0.3214, -0.504729, 0.045933, -0.143254, -0.529428, -0.048063, -0.369009], [0.696594, 0.577504, -0.553822, -0.327955, 0.404126, 0.627042, -0.243589]], "network.2.bias": [0.449073, -0.269758, -0.268028, -0.213749, -0.199514, -0.056776, 0.306355], "network.4.weight": [[0.212326, -0.023485, 0.332383, 0.408439, -0.286933, 0.193076, -0.471444], [-0.419411, 0.044656, 0.162155, -0.193466, -0.519052, 0.108046, -0.142113], [-0.165104, 0.691665, 0.262044, 0.418389, 0.592013, -0.131441, 0.802762], [-0.699779, 0.171469, -0.301319, -0.316349, 0.799491, -0.147237, 0.722581], [0.149365, -0.171549, -0.03775, -0.106781, -0.170411, -0.327796, -0.231496], [-0.276864, -0.198872, 0.118917, 0.237376, -0.466436, -0.007494, 0.049186], [-0.266849, 0.221224, -0.234618, 0.132853, -0.302451, -0.005942, -0.191777]], "network.4.bias": [0.575178, -0.214177, -0.398679, 0.15529, -0.321194, 0.409954, -0.302507], "network.6.weight": [[-0.310809, 0.326953, -0.371668, -0.323455, -0.171249, -0.285828, 0.309526], [0.073062, 0.098589, -0.056606, -0.241135, -0.100873, -0.023837, -0.233799], [0.322952, 0.343404, 0.164513, -0.485066, -0.392095, 0.437614, 0.136414], [-0.550256, -0.273415, -0.326504, -0.211846, -0.175084, -0.030819, 0.117896], [-0.327738, 0.026502, 0.679109, 0.738709, 0.034984, -0.649572, 0.236922], [0.044418, -0.301504, -0.013963, -0.01916, 0.37627, 0.017728, 0.290161], [0.494674, 0.492959, -0.098286, -0.058412, -0.239662, 0.338727, 0.128531]], "network.6.bias": [-0.005785, -0.2898, -0.228105, -0.183919, -0.093571, -0.337646, 0.464167], "network.8.weight": [[-0.208466, -0.268002, -0.280184, 0.229259, 0.560121, -0.195275, 0.092708], [0.154831, 0.180092, -0.167041, -0.34988, -0.083643, 0.098142, -0.306013], [0.209791, -0.109353, -0.160132, -0.053224, -0.583901, 0.099615, -0.458226], [-0.328708, 0.102898, -0.090939, 0.378862, 0.465817, -0.154763, 0.104925], [0.007519, 0.129511, -0.289987, 0.16739, 0.844188, 0.023575, -0.602105], [-0.323966, 0.340825, 0.1633, 0.151937, -0.437518, 0.256583, -0.433473], [0.015965, 0.007261, 0.107327, 0.030745, 0.70671, 0.188192, -0.47665]], "network.8.bias": [-0.28592, -0.781107, -0.011318, -0.02132, 0.011246, 0.07663, -0.041086], "network.10.weight": [[0.224563, -0.174292, -0.13662, 0.257435, -0.429383, 0.133239, -0.522434], [-0.473727, 0.120445, -0.348359, -0.12663, -0.078791, 0.352387, 0.152284], [0.632884, 0.321737, 0.083525, 0.070643, 0.636865, 0.157583, 0.348552], [-0.003226, -0.024953, 0.22787, -0.257389, -0.176505, 0.149519, 0.055314], [0.113729, 0.265018, -0.151293, -0.217276, -0.018847, 0.17832, -0.540369], [0.014494, 0.011953, -0.35507, 0.251471, 0.039716, -0.230734, -0.346734], [0.085823, 0.062332, 0.3361, -0.231623, 0.766985, -0.491849, 0.903423]], "network.10.bias": [0.271818, -0.422133, 0.162739, -0.135095, -0.137786, -0.172404, -0.118424], "network.12.weight": [[0.391053, 0.155759, -0.127579, 0.318057, 0.0187, -0.217027, -0.557252]], "network.12.bias": [0.516952]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7118372321128845, "train_acc": 0.44, "val_loss": 0.6887193918228149, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6902518272399902, "train_acc": 0.56, "val_loss": 0.6686728000640869, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6404594480991364, "train_acc": 0.56, "val_loss": 0.5752056241035461, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5505631268024445, "train_acc": 0.49, "val_loss": 0.469924658536911, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.46331752836704254, "train_acc": 0.725, "val_loss": 0.40173575282096863, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.38946883380413055, "train_acc": 0.875, "val_loss": 0.2921518087387085, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3358011096715927, "train_acc": 0.87, "val_loss": 0.30496641993522644, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3764923959970474, "train_acc": 0.85, "val_loss": 0.25630131363868713, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.33431796729564667, "train_acc": 0.865, "val_loss": 0.44985345005989075, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.38868555426597595, "train_acc": 0.835, "val_loss": 0.3407943844795227, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3204048126935959, "train_acc": 0.87, "val_loss": 0.2287534922361374, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3041696697473526, "train_acc": 0.88, "val_loss": 0.2287493497133255, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3237825483083725, "train_acc": 0.88, "val_loss": 0.2284504473209381, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6887193918228149, "final_val_loss": 0.5752056241035461, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.469924658536911, "final_val_loss": 0.2284504473209381, "initial_val_acc": 0.62, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
259
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2356, "learning_rate": 0.0301904269851338, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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"network.2.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
fourier: [[15.320188, 16.713074, 17.867718, 18.654442, 19.682073, 19.978467, 22.998397, 23.110219, 25.188084, 91.657636], [15.958258, 16.170001, 16.932350, 17.479992, 21.354285, 21.830227, 22.143807, 26.133100, 27.062697, 81.981464], [7.560267, 7.881541, 8.155180, 8.573488, 8.724095, 9.981344, 10.266065, 10.305775, 10.351058, 97.969280], [13.184151, 13.595502, 14.355308, 14.438840, 15.778317, 16.740345, 19.543707, 21.234682, 21.480180, 40.920717], [17.143567, 17.872996, 19.571213, 19.756442, 20.862613, 21.549387, 21.553189, 22.621709, 22.666336, 79.497291], [22.227984, 25.293080, 25.709425, 27.036919, 27.266854, 28.354153, 30.127522, 31.067403, 34.926351, 240.494546], [12.353106, 13.430160, 13.922942, 13.981576, 14.035829, 14.475490, 15.339261, 15.584125, 16.679324, 17.766028]]
### 2
fourier: [[24.089667, 24.509699, 25.771701, 27.510477, 28.198816, 28.413854, 32.113679, 32.908419, 37.294380, 134.806290], [15.805555, 16.363790, 16.717624, 17.670374, 19.009207, 19.645541, 20.430468, 25.476857, 27.712266, 28.226438], [11.636338, 12.308213, 12.909738, 13.426882, 13.712250, 15.073097, 15.539698, 16.650837, 18.908589, 38.220781], [18.164724, 18.291144, 20.000613, 21.083005, 22.941837, 23.055432, 23.292435, 24.139474, 26.271097, 268.516658], [15.031655, 15.616340, 16.032973, 16.327958, 16.461076, 16.813253, 19.060764, 21.010489, 24.776108, 27.389997], [15.448009, 16.218536, 16.249263, 17.334260, 18.561004, 19.393221, 20.473204, 24.923681, 25.210900, 78.010094], [9.682647, 9.709137, 13.307992, 13.791006, 13.890924, 14.485257, 18.669395, 20.116416, 21.555800, 41.579927]]
### 4
fourier: [[6.278243, 6.585067, 6.727408, 6.791773, 7.190982, 8.000918, 8.004465, 9.037575, 9.224496, 46.012990], [15.296225, 15.683567, 16.119840, 17.098803, 18.615422, 19.714358, 20.588514, 21.389718, 25.787464, 105.569207], [18.911152, 19.416784, 19.636709, 21.225793, 22.807575, 24.747155, 26.074977, 29.044011, 33.258374, 77.914953], [17.161728, 17.523329, 17.974813, 19.384300, 21.058544, 21.219839, 24.332659, 25.309920, 28.542085, 107.063485], [18.520949, 19.220584, 19.688453, 20.617658, 22.528700, 23.700892, 26.357654, 28.544213, 32.140412, 92.100546], [4.940905, 5.184226, 5.239186, 5.350536, 5.842849, 6.161584, 7.724859, 8.147265, 10.007536, 66.265968], [25.298816, 26.160241, 26.926588, 27.017845, 30.172316, 31.517088, 39.160654, 40.530364, 41.668120, 62.269870]]
### 6
fourier: [[21.658297, 22.985727, 23.700607, 23.708308, 25.730119, 26.989731, 30.551431, 34.725468, 36.988478, 80.140308], [23.407850, 24.519643, 25.128097, 25.302223, 28.872230, 28.998827, 33.438542, 36.433820, 40.119706, 143.661963], [21.304823, 22.486287, 23.081920, 23.162871, 25.449132, 26.191695, 30.494445, 33.840377, 36.182290, 70.544030], [20.915251, 21.107386, 21.357443, 21.948538, 23.212017, 24.067704, 29.256531, 33.251482, 33.921719, 79.043220], [28.972808, 31.976818, 32.811011, 33.025103, 35.184884, 37.506291, 40.847763, 47.159829, 50.532751, 117.783823], [13.126993, 13.533153, 13.739909, 14.113118, 14.538305, 15.190951, 18.325608, 21.081446, 21.109549, 68.289156], [24.916987, 27.478102, 28.112237, 28.173378, 31.004074, 32.359691, 35.861477, 40.106914, 43.621551, 185.277723]]
### 8
fourier: [[27.911934, 29.016012, 29.157320, 31.208749, 32.753043, 35.927323, 38.459207, 46.163853, 48.314387, 50.811857], [19.173177, 19.685918, 20.411588, 20.541227, 22.612701, 24.067701, 24.699476, 29.639047, 32.544569, 139.994362], [20.943674, 21.696674, 22.189318, 23.202162, 25.150303, 26.599480, 33.909363, 35.866291, 37.795071, 106.209706], [12.680741, 12.791102, 13.677611, 15.133150, 15.372855, 16.046284, 21.783657, 22.217623, 22.431823, 33.390770], [19.169910, 19.539205, 21.753832, 21.757129, 22.246911, 22.658101, 24.816084, 33.148475, 33.709825, 34.986255], [9.862984, 9.902262, 10.252827, 10.622868, 12.275788, 12.320433, 13.704738, 15.931405, 17.491397, 87.564707], [15.389192, 15.521707, 15.631410, 17.030193, 17.543254, 17.714852, 20.141532, 26.773313, 27.236691, 28.280359]]
### 10
fourier: [[21.818443, 22.600709, 24.092514, 24.384981, 24.681414, 27.837926, 37.488856, 39.405736, 39.922105, 80.763381]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[15.320188, 16.713074, 17.867718, 18.654442, 19.682073, 19.978467, 22.998397, 23.110219, 25.188084, 91.657636], [15.958258, 16.170001, 16.932350, 17.479992, 21.354285, 21.830227, 22.143807, 26.133100, 27.062697, 81.981464], [7.560267, 7.881541, 8.155180, 8.573488, 8.724095, 9.981344, 10.266065, 10.305775, 10.351058, 97.969280], [13.184151, 13.595502, 14.355308, 14.438840, 15.778317, 16.740345, 19.543707, 21.234682, 21.480180, 40.920717], [17.143567, 17.872996, 19.571213, 19.756442, 20.862613, 21.549387, 21.553189, 22.621709, 22.666336, 79.497291], [22.227984, 25.293080, 25.709425, 27.036919, 27.266854, 28.354153, 30.127522, 31.067403, 34.926351, 240.494546], [12.353106, 13.430160, 13.922942, 13.981576, 14.035829, 14.475490, 15.339261, 15.584125, 16.679324, 17.766028]]
### 2
fourier: [[24.089667, 24.509699, 25.771701, 27.510477, 28.198816, 28.413854, 32.113679, 32.908419, 37.294380, 134.806290], [15.805555, 16.363790, 16.717624, 17.670374, 19.009207, 19.645541, 20.430468, 25.476857, 27.712266, 28.226438], [11.636338, 12.308213, 12.909738, 13.426882, 13.712250, 15.073097, 15.539698, 16.650837, 18.908589, 38.220781], [18.164724, 18.291144, 20.000613, 21.083005, 22.941837, 23.055432, 23.292435, 24.139474, 26.271097, 268.516658], [15.031655, 15.616340, 16.032973, 16.327958, 16.461076, 16.813253, 19.060764, 21.010489, 24.776108, 27.389997], [15.448009, 16.218536, 16.249263, 17.334260, 18.561004, 19.393221, 20.473204, 24.923681, 25.210900, 78.010094], [9.682647, 9.709137, 13.307992, 13.791006, 13.890924, 14.485257, 18.669395, 20.116416, 21.555800, 41.579927]]
### 4
fourier: [[6.278243, 6.585067, 6.727408, 6.791773, 7.190982, 8.000918, 8.004465, 9.037575, 9.224496, 46.012990], [15.296225, 15.683567, 16.119840, 17.098803, 18.615422, 19.714358, 20.588514, 21.389718, 25.787464, 105.569207], [18.911152, 19.416784, 19.636709, 21.225793, 22.807575, 24.747155, 26.074977, 29.044011, 33.258374, 77.914953], [17.161728, 17.523329, 17.974813, 19.384300, 21.058544, 21.219839, 24.332659, 25.309920, 28.542085, 107.063485], [18.520949, 19.220584, 19.688453, 20.617658, 22.528700, 23.700892, 26.357654, 28.544213, 32.140412, 92.100546], [4.940905, 5.184226, 5.239186, 5.350536, 5.842849, 6.161584, 7.724859, 8.147265, 10.007536, 66.265968], [25.298816, 26.160241, 26.926588, 27.017845, 30.172316, 31.517088, 39.160654, 40.530364, 41.668120, 62.269870]]
### 6
fourier: [[21.658297, 22.985727, 23.700607, 23.708308, 25.730119, 26.989731, 30.551431, 34.725468, 36.988478, 80.140308], [23.407850, 24.519643, 25.128097, 25.302223, 28.872230, 28.998827, 33.438542, 36.433820, 40.119706, 143.661963], [21.304823, 22.486287, 23.081920, 23.162871, 25.449132, 26.191695, 30.494445, 33.840377, 36.182290, 70.544030], [20.915251, 21.107386, 21.357443, 21.948538, 23.212017, 24.067704, 29.256531, 33.251482, 33.921719, 79.043220], [28.972808, 31.976818, 32.811011, 33.025103, 35.184884, 37.506291, 40.847763, 47.159829, 50.532751, 117.783823], [13.126993, 13.533153, 13.739909, 14.113118, 14.538305, 15.190951, 18.325608, 21.081446, 21.109549, 68.289156], [24.916987, 27.478102, 28.112237, 28.173378, 31.004074, 32.359691, 35.861477, 40.106914, 43.621551, 185.277723]]
### 8
fourier: [[27.911934, 29.016012, 29.157320, 31.208749, 32.753043, 35.927323, 38.459207, 46.163853, 48.314387, 50.811857], [19.173177, 19.685918, 20.411588, 20.541227, 22.612701, 24.067701, 24.699476, 29.639047, 32.544569, 139.994362], [20.943674, 21.696674, 22.189318, 23.202162, 25.150303, 26.599480, 33.909363, 35.866291, 37.795071, 106.209706], [12.680741, 12.791102, 13.677611, 15.133150, 15.372855, 16.046284, 21.783657, 22.217623, 22.431823, 33.390770], [19.169910, 19.539205, 21.753832, 21.757129, 22.246911, 22.658101, 24.816084, 33.148475, 33.709825, 34.986255], [9.862984, 9.902262, 10.252827, 10.622868, 12.275788, 12.320433, 13.704738, 15.931405, 17.491397, 87.564707], [15.389192, 15.521707, 15.631410, 17.030193, 17.543254, 17.714852, 20.141532, 26.773313, 27.236691, 28.280359]]
### 10
fourier: [[21.818443, 22.600709, 24.092514, 24.384981, 24.681414, 27.837926, 37.488856, 39.405736, 39.922105, 80.763381]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": {"fourier": [15.320188240854966, 16.713074129306936, 17.86771819300115, 18.654442276076413, 19.68207266595343, 19.97846655504395, 22.998396623611878, 23.110218592589224, 25.188083748516515, 91.65763622522354]}, "1": {"fourier": [15.958257654343997, 16.17000123272242, 16.932349511258302, 17.47999184037552, 21.35428477756786, 21.830226777796906, 22.14380655990877, 26.133099869501947, 27.062696799237788, 81.98146360367537]}, "2": {"fourier": [7.5602673733414125, 7.881540859678887, 8.155180272405467, 8.573488412791505, 8.724095115937324, 9.981343691310538, 10.26606467588853, 10.305775285491464, 10.351058317158042, 97.96927998960018]}, "3": {"fourier": [13.18415091795147, 13.595501655078182, 14.355308370821588, 14.438839515386853, 15.778316962328852, 16.740345247485745, 19.543707209850687, 21.23468173925538, 21.480179748406105, 40.92071720957756]}, "4": {"fourier": [17.143566771962824, 17.87299592294763, 19.571213481960037, 19.756442153671106, 20.862612643915767, 21.54938706881731, 21.553189226749204, 22.621709206728607, 22.666336182066534, 79.4972912967205]}, "5": {"fourier": [22.227984340526238, 25.293080486308853, 25.709425158607896, 27.036918836767658, 27.26685388495724, 28.354153248254047, 30.12752175416227, 31.067403409421097, 34.92635136727923, 240.49454587697983]}, "6": {"fourier": [12.353106335759973, 13.430159653919725, 13.92294242899658, 13.981575622262186, 14.035828607037944, 14.475489745060871, 15.339261356520163, 15.584124709635587, 16.67932434727212, 17.76602750714177]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [24.08966707717668, 24.50969859251159, 25.771701106918503, 27.510477247293316, 28.198816487758716, 28.41385353561542, 32.11367947297949, 32.90841922282506, 37.294380409852955, 134.80629017576575]}, "1": {"fourier": [15.805555097194723, 16.363790103554997, 16.71762366023632, 17.67037360649973, 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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": [[0.576011, 0.014713, 0.092956, -0.022027, -0.222566], [-0.291102, 0.075997, 0.491735, -0.1628, 0.463565], [0.019935, 0.113088, -0.141703, -0.232193, -0.114758], [-0.244927, 0.417192, -0.067261, -0.020905, -0.346446], [-0.285029, -0.139047, 0.210979, 0.663175, -0.176601], [-0.442562, 0.485274, 0.119231, 0.599791, 0.289246], [-0.311665, -0.157733, 0.338934, 0.092703, -0.292655]], "network.0.bias": [0.402353, -0.115112, -0.383965, -0.297479, -0.153665, 0.446615, 0.115025], "network.2.weight": [[-0.565709, 0.19166, -0.017827, 0.198831, 0.638295, 0.413726, 0.272046], [0.52532, -0.596103, -0.063496, -0.661253, -0.55265, 0.01935, -0.190877], [0.109404, 0.459586, -0.511577, -0.048627, 0.244865, -0.513951, 0.244809], [-0.226651, -0.508537, -0.092598, 0.134869, -0.427635, -0.463259, 0.004551], [0.579336, -0.106942, 0.185068, -0.370531, -0.127845, -0.229825, -0.624334], [-0.52553, 0.443574, -0.020113, 0.62322, -0.161564, 0.299225, 0.266047], [0.159452, -0.706201, 0.310667, 0.018045, -0.469329, 0.424363, -0.181148]], "network.2.bias": [0.02836, 0.588481, 0.01278, -0.635375, 0.446351, 0.189519, 0.428984], "network.4.weight": [[-0.189737, -0.091487, 0.351075, -0.365023, 0.119322, 0.118454, -0.462697], [0.473982, -0.148071, -0.119493, 0.107223, -0.103222, 0.421479, 0.24034], [0.515273, -0.414351, -0.229502, -0.131478, -0.519545, 0.148787, 0.07993], [0.566707, 0.017893, 0.114444, 0.353597, -0.435212, 0.319243, 0.189085], [0.493737, -0.544714, -0.19878, -0.065889, -0.343103, 0.155003, -0.042572], [-0.046951, 0.062909, 0.196789, -0.070689, -0.354132, -0.235368, -0.466193], [-0.635425, 0.504823, -0.602057, -0.233703, 0.181873, -0.662139, 0.327203]], "network.4.bias": [-0.102718, -0.043649, 0.198552, -0.006828, 0.441272, -0.087168, 0.5846], "network.6.weight": [[-0.159534, -0.135356, -0.270466, -0.32965, -0.515609, -0.38556, 0.462556], [-0.33628, 0.032685, 0.381946, 0.325061, 0.513252, -0.300611, -0.623059], [-0.065998, -0.256153, -0.45882, -0.247362, -0.202447, -0.022028, 0.550047], [-0.525642, -0.135204, -0.477387, -0.180438, -0.269356, -0.214709, 0.586981], [-0.230271, -0.254053, -0.550702, -0.485757, -0.524054, -0.347699, 0.501471], [-0.311445, 0.036322, -0.322219, -0.415276, 0.012426, -0.211358, 0.314172], [0.018993, 0.305481, 0.381375, 0.351179, 0.451283, -0.543575, -0.528782]], "network.6.bias": [0.307791, 0.350303, 0.290976, -0.015583, 0.532805, -0.157028, 0.480652], "network.8.weight": [[0.15649, -0.229677, 0.638845, 0.348749, 0.506347, 0.345074, -0.487659], [-0.047261, -0.51961, 0.121038, 0.106457, 0.128689, -0.145277, -0.293815], [-0.274181, 0.22162, -0.333934, -0.613817, 0.020159, -0.170261, 0.390847], [-0.379836, 0.342771, -0.535324, -0.305232, 0.159206, -0.379317, -0.082209], [0.537214, -0.147187, 0.188108, 0.355503, 0.281029, 0.448375, -0.264885], [-0.122181, -0.378894, 0.105785, -0.155749, 0.338671, 0.12032, -0.016402], [0.385772, 0.001215, 0.526081, -0.059985, 0.472388, -0.164134, -0.266635]], "network.8.bias": [0.375213, -0.101288, 0.340532, 0.307378, 0.055654, -0.382769, 0.104521], "network.10.weight": [[0.342632, 0.287187, -0.524837, -0.347754, 0.356873, 0.349142, 0.214758]], "network.10.bias": [-0.490638]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6780301928520203, "train_acc": 0.585, "val_loss": 0.7131893634796143, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.670976459980011, "train_acc": 0.585, "val_loss": 0.6761913895606995, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6376775503158569, "train_acc": 0.635, "val_loss": 0.5304022431373596, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4738343209028244, "train_acc": 0.91, "val_loss": 0.3922001123428345, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.42034074664115906, "train_acc": 0.92, "val_loss": 0.29042860865592957, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3374946415424347, "train_acc": 0.91, "val_loss": 0.2802378535270691, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2509825974702835, "train_acc": 0.925, "val_loss": 0.1523628979921341, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.18808972090482712, "train_acc": 0.95, "val_loss": 0.14114803075790405, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.16569827497005463, "train_acc": 0.955, "val_loss": 0.15883009135723114, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.16256006062030792, "train_acc": 0.955, "val_loss": 0.16492728888988495, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1399819292128086, "train_acc": 0.955, "val_loss": 0.16302967071533203, "val_acc": 0.96}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7131893634796143, "final_val_loss": 0.6761913895606995, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5304022431373596, "final_val_loss": 0.16302967071533203, "initial_val_acc": 0.9, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 6}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
260
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{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6487, "learning_rate": 0.0917938599831118, "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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"network.6.weight": [
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"network.8.weight": [
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[
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0.339882
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[
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[
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0.107186,
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}
## Activation Signature
### 0
fourier: [[37.438571, 39.347806, 41.645527, 43.114842, 43.407401, 44.968155, 44.992149, 46.795788, 47.103054, 74.154884], [44.657351, 46.025373, 49.270901, 51.132322, 52.754765, 55.759066, 57.250452, 57.721603, 60.530113, 312.230636], [43.770730, 43.941938, 45.182168, 46.191626, 47.922808, 48.106791, 53.221843, 59.022867, 60.144382, 376.093193], [21.162429, 21.165676, 21.257635, 22.487477, 24.012867, 24.271487, 24.667935, 25.063006, 27.837403, 115.984791], [36.575426, 37.607433, 38.154081, 39.395003, 42.298513, 42.919030, 47.640974, 47.821086, 50.358205, 196.311081], [6.672105, 6.676069, 6.897752, 6.906304, 7.084919, 8.958329, 9.590356, 10.362203, 10.655586, 57.402174], [17.236105, 17.832522, 18.051660, 18.341783, 19.491384, 19.820081, 22.180388, 23.239330, 24.257870, 123.515784]]
### 2
fourier: [[43.506630, 44.817240, 47.604520, 47.634014, 51.744893, 52.319783, 53.509879, 57.989008, 58.581674, 385.432175], [26.265597, 27.057545, 29.656790, 30.688874, 34.171396, 34.560230, 35.402141, 36.580864, 39.467550, 127.482040], [8.383643, 9.003890, 9.068465, 9.526650, 9.538480, 10.235160, 10.591967, 10.801930, 10.823969, 116.138806], [29.745030, 30.331229, 30.913856, 33.531177, 37.158982, 40.235408, 41.180144, 42.685676, 43.437904, 148.689276], [7.870828, 7.952252, 8.244443, 8.584238, 8.972882, 9.725240, 9.959978, 10.199618, 10.500501, 92.934035], [10.450494, 10.715407, 11.596199, 12.554582, 12.892248, 13.223499, 14.670720, 15.636747, 15.869840, 18.349271], [9.928192, 10.092247, 10.352751, 10.366338, 10.723874, 12.008718, 12.404009, 12.766486, 14.389825, 124.513319]]
### 4
fourier: [[12.396305, 12.799547, 12.898215, 14.163502, 14.505621, 16.347860, 17.644641, 17.890402, 18.227645, 19.020552], [2.091431, 2.167277, 2.198133, 2.199618, 2.242566, 2.347274, 2.442859, 2.641724, 2.918247, 33.715445], [7.823748, 8.217945, 8.352369, 9.489478, 9.899741, 10.200088, 10.294484, 10.481148, 11.826916, 113.925395], [6.132228, 6.163778, 7.875443, 8.320508, 8.480986, 9.074453, 9.162851, 9.511449, 9.866099, 31.074083], [10.894713, 12.157416, 12.460027, 13.195548, 13.413859, 13.421453, 14.066153, 15.439695, 15.447973, 45.127162], [13.235478, 13.248099, 13.318406, 14.788841, 16.573269, 19.201391, 19.365042, 20.398283, 20.596977, 60.030225], [25.563417, 28.568549, 30.743602, 34.019085, 34.868800, 38.098300, 38.269015, 40.105403, 40.578711, 217.183006]]
### 6
fourier: [[8.645463, 8.676212, 8.722884, 9.047289, 9.053227, 9.702066, 10.708150, 11.117383, 11.923805, 61.545686], [13.271876, 14.147138, 14.170469, 16.999197, 17.252591, 19.219168, 20.021683, 20.648676, 20.911780, 98.655773], [8.112199, 8.260359, 8.746893, 8.830564, 8.975420, 10.361049, 10.564158, 10.886445, 11.780695, 15.828257], [9.016383, 9.167832, 9.277162, 9.523693, 9.588439, 10.083820, 10.898272, 12.252269, 12.737253, 62.063211], [28.002125, 30.108277, 31.792660, 32.311234, 33.645385, 35.438257, 36.869815, 37.824612, 39.980729, 268.379740], [16.783025, 17.187316, 18.166708, 21.517123, 21.809458, 25.106142, 25.754200, 26.210364, 27.055794, 161.908156], [8.467496, 8.553868, 9.092665, 9.223242, 9.352709, 9.853666, 11.089136, 11.109062, 11.855825, 12.525906]]
### 8
fourier: [[12.852122, 12.996238, 14.162924, 15.173483, 15.215338, 17.234143, 18.175750, 19.367714, 20.492284, 63.831193], [12.477349, 12.622454, 12.728961, 12.804165, 16.035830, 18.558745, 18.580389, 19.890468, 20.545623, 69.418057], [7.194110, 7.229986, 7.389376, 7.545569, 9.436719, 10.891403, 10.982952, 11.682825, 11.982513, 65.002550], [22.771395, 24.281108, 25.460550, 26.445272, 27.793603, 28.468213, 29.944455, 31.020364, 32.669426, 225.051524], [7.213248, 7.326949, 8.162174, 8.216946, 8.277863, 8.550183, 8.787436, 11.860395, 12.012240, 133.433487], [5.422400, 5.429280, 5.641551, 6.184171, 6.556622, 6.922626, 7.110193, 7.181333, 8.150646, 71.083480], [3.345506, 3.432108, 3.449912, 3.609197, 3.892292, 3.973291, 4.324422, 4.518042, 4.919009, 36.569289]]
### 10
fourier: [[6.577914, 7.454700, 7.511352, 7.998916, 8.243763, 8.682912, 9.333864, 9.580780, 9.666035, 66.390159]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[37.438571, 39.347806, 41.645527, 43.114842, 43.407401, 44.968155, 44.992149, 46.795788, 47.103054, 74.154884], [44.657351, 46.025373, 49.270901, 51.132322, 52.754765, 55.759066, 57.250452, 57.721603, 60.530113, 312.230636], [43.770730, 43.941938, 45.182168, 46.191626, 47.922808, 48.106791, 53.221843, 59.022867, 60.144382, 376.093193], [21.162429, 21.165676, 21.257635, 22.487477, 24.012867, 24.271487, 24.667935, 25.063006, 27.837403, 115.984791], [36.575426, 37.607433, 38.154081, 39.395003, 42.298513, 42.919030, 47.640974, 47.821086, 50.358205, 196.311081], [6.672105, 6.676069, 6.897752, 6.906304, 7.084919, 8.958329, 9.590356, 10.362203, 10.655586, 57.402174], [17.236105, 17.832522, 18.051660, 18.341783, 19.491384, 19.820081, 22.180388, 23.239330, 24.257870, 123.515784]]
### 2
fourier: [[43.506630, 44.817240, 47.604520, 47.634014, 51.744893, 52.319783, 53.509879, 57.989008, 58.581674, 385.432175], [26.265597, 27.057545, 29.656790, 30.688874, 34.171396, 34.560230, 35.402141, 36.580864, 39.467550, 127.482040], [8.383643, 9.003890, 9.068465, 9.526650, 9.538480, 10.235160, 10.591967, 10.801930, 10.823969, 116.138806], [29.745030, 30.331229, 30.913856, 33.531177, 37.158982, 40.235408, 41.180144, 42.685676, 43.437904, 148.689276], [7.870828, 7.952252, 8.244443, 8.584238, 8.972882, 9.725240, 9.959978, 10.199618, 10.500501, 92.934035], [10.450494, 10.715407, 11.596199, 12.554582, 12.892248, 13.223499, 14.670720, 15.636747, 15.869840, 18.349271], [9.928192, 10.092247, 10.352751, 10.366338, 10.723874, 12.008718, 12.404009, 12.766486, 14.389825, 124.513319]]
### 4
fourier: [[12.396305, 12.799547, 12.898215, 14.163502, 14.505621, 16.347860, 17.644641, 17.890402, 18.227645, 19.020552], [2.091431, 2.167277, 2.198133, 2.199618, 2.242566, 2.347274, 2.442859, 2.641724, 2.918247, 33.715445], [7.823748, 8.217945, 8.352369, 9.489478, 9.899741, 10.200088, 10.294484, 10.481148, 11.826916, 113.925395], [6.132228, 6.163778, 7.875443, 8.320508, 8.480986, 9.074453, 9.162851, 9.511449, 9.866099, 31.074083], [10.894713, 12.157416, 12.460027, 13.195548, 13.413859, 13.421453, 14.066153, 15.439695, 15.447973, 45.127162], [13.235478, 13.248099, 13.318406, 14.788841, 16.573269, 19.201391, 19.365042, 20.398283, 20.596977, 60.030225], [25.563417, 28.568549, 30.743602, 34.019085, 34.868800, 38.098300, 38.269015, 40.105403, 40.578711, 217.183006]]
### 6
fourier: [[8.645463, 8.676212, 8.722884, 9.047289, 9.053227, 9.702066, 10.708150, 11.117383, 11.923805, 61.545686], [13.271876, 14.147138, 14.170469, 16.999197, 17.252591, 19.219168, 20.021683, 20.648676, 20.911780, 98.655773], [8.112199, 8.260359, 8.746893, 8.830564, 8.975420, 10.361049, 10.564158, 10.886445, 11.780695, 15.828257], [9.016383, 9.167832, 9.277162, 9.523693, 9.588439, 10.083820, 10.898272, 12.252269, 12.737253, 62.063211], [28.002125, 30.108277, 31.792660, 32.311234, 33.645385, 35.438257, 36.869815, 37.824612, 39.980729, 268.379740], [16.783025, 17.187316, 18.166708, 21.517123, 21.809458, 25.106142, 25.754200, 26.210364, 27.055794, 161.908156], [8.467496, 8.553868, 9.092665, 9.223242, 9.352709, 9.853666, 11.089136, 11.109062, 11.855825, 12.525906]]
### 8
fourier: [[12.852122, 12.996238, 14.162924, 15.173483, 15.215338, 17.234143, 18.175750, 19.367714, 20.492284, 63.831193], [12.477349, 12.622454, 12.728961, 12.804165, 16.035830, 18.558745, 18.580389, 19.890468, 20.545623, 69.418057], [7.194110, 7.229986, 7.389376, 7.545569, 9.436719, 10.891403, 10.982952, 11.682825, 11.982513, 65.002550], [22.771395, 24.281108, 25.460550, 26.445272, 27.793603, 28.468213, 29.944455, 31.020364, 32.669426, 225.051524], [7.213248, 7.326949, 8.162174, 8.216946, 8.277863, 8.550183, 8.787436, 11.860395, 12.012240, 133.433487], [5.422400, 5.429280, 5.641551, 6.184171, 6.556622, 6.922626, 7.110193, 7.181333, 8.150646, 71.083480], [3.345506, 3.432108, 3.449912, 3.609197, 3.892292, 3.973291, 4.324422, 4.518042, 4.919009, 36.569289]]
### 10
fourier: [[6.577914, 7.454700, 7.511352, 7.998916, 8.243763, 8.682912, 9.333864, 9.580780, 9.666035, 66.390159]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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{"fourier": [16.78302516621321, 17.18731588123323, 18.166708434332314, 21.517122942007024, 21.809457783064534, 25.10614194843105, 25.754200200749974, 26.21036392473415, 27.05579368319735, 161.9081558585167]}, "6": {"fourier": [8.467495751862455, 8.5538676468473, 9.092664787489646, 9.223242337894362, 9.352708788577532, 9.85366630084577, 11.089135746499961, 11.109061667341447, 11.855824713763159, 12.525906412941264]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [12.852122011576355, 12.996237875911945, 14.162923557676455, 15.173482749991027, 15.215338301528696, 17.23414317091491, 18.175749565153527, 19.367714405373288, 20.49228390151992, 63.83119261264801]}, "1": {"fourier": [12.477348682290135, 12.622454257621722, 12.728960728747111, 12.804164958781003, 16.03582993202447, 18.55874486855381, 18.58038911041208, 19.89046772282378, 20.545623456134244, 69.41805744543672]}, "2": {"fourier": 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4.518041612147789, 4.91900941144791, 36.56928916275501]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [6.5779139288537065, 7.454699552502942, 7.5113522770471475, 7.998915875370085, 8.243763203777172, 8.682911726992074, 9.333863551618823, 9.580780116650406, 9.666035353129235, 66.39015920460224]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.699214, -1.129694, 0.038015, 0.460513, 0.35127], [0.909856, 0.896227, 0.561796, 0.06409, -0.283346], [-0.910778, -0.835572, -0.406626, -0.227599, 0.070388], [0.495109, -0.012536, 0.243555, 0.24392, -0.704498], [-0.722046, -0.694427, -0.502833, 0.13888, 0.515891], [0.065107, 0.109637, -0.155026, -0.224648, -0.060144], [-0.354659, 0.060808, 0.696834, 0.159947, -0.099606]], "network.0.bias": [0.604554, -0.257668, -0.272144, 0.532476, 0.098988, -0.038853, 0.027185], "network.2.weight": [[-0.188978, 0.393133, -0.134384, 1.101804, -0.312407, -0.226392, 1.039724], [0.816327, -0.244612, 0.64806, -0.532287, 0.286795, 0.065633, -0.260287], [-0.241209, -0.09003, -0.347472, -0.34266, -0.403553, -0.229947, 0.097305], [0.639572, -0.245867, 0.286805, -0.830786, 0.543945, 0.1278, -0.298162], [-0.153953, -0.147113, -0.117086, -0.028789, -0.200661, -0.692488, -0.224239], [-0.631676, 0.108191, -0.022289, -0.154509, 0.22848, 0.084616, 0.338924], [-0.149661, -0.170156, 0.139884, -0.087335, -0.386414, 0.109365, -0.296547]], "network.2.bias": [-0.061043, 0.043681, -0.36797, 0.376015, 0.001255, -0.337773, -0.062446], "network.4.weight": [[-0.101547, 0.487848, -0.252668, 0.588152, 0.237688, 0.291963, 0.547386], [-0.004065, -0.259734, -0.269858, 0.21589, -0.151982, -0.350303, -0.122036], [-0.213385, 0.166736, -0.037415, -0.233051, 0.236447, 0.095632, -0.310644], [0.152927, -0.154208, 0.368097, -0.091779, -0.224101, -0.235473, -0.317331], [-0.122222, -0.605464, 0.570418, -0.558256, -0.398339, 0.320771, 0.023289], [-0.203168, 0.758143, -0.058795, 0.197001, -0.162932, 0.384712, 0.198178], [0.4943, -0.515927, 0.288248, -0.642124, 0.009884, 0.142942, 0.117986]], "network.4.bias": [-0.172097, -0.233197, -0.349704, -0.168057, 0.270225, -0.192338, 0.570171], "network.6.weight": [[-0.332539, 0.542646, -0.006168, -0.040408, 0.310385, -0.596519, -0.106856], [-0.432855, 0.098545, -0.293319, -0.231331, 0.537871, -0.134403, 0.516087], [0.651189, 0.080481, 0.07101, 0.038553, -0.436112, 0.096047, -0.029609], [-0.396648, -0.068915, -0.195863, 0.074058, -0.18207, -0.602909, -0.177774], [0.086358, -0.279317, 0.181924, -0.216615, -0.679405, 0.133551, -1.101187], [-0.552152, 0.228867, 0.132154, 0.308437, 0.037505, -0.305622, 0.498614], [0.451852, -0.287848, 0.213238, 0.322486, -0.033912, 0.401026, -0.081952]], "network.6.bias": [-0.19175, -0.015305, -0.295533, -0.04005, -0.063584, 0.566922, -0.119514], "network.8.weight": [[-0.449114, -0.163632, -0.60863, 0.134732, -0.354845, 0.481848, -0.675218], [-0.113912, 0.306037, -0.562309, -0.058276, -0.373737, 0.276143, -0.524881], [-0.506475, -0.276193, 0.37794, -0.018295, -0.174889, -0.102334, 0.339882], [-0.013207, -0.9771, 0.204599, -0.466334, 0.219788, -0.77903, -0.104819], [0.257722, -0.344896, 0.107186, -0.248926, -0.009388, -0.302338, -0.471584], [0.279509, 0.000288, -0.069223, -0.093853, -0.421726, 0.384572, 0.231032], [0.352595, -0.35443, -0.138149, 0.064175, 0.102148, 0.230897, -0.307874]], "network.8.bias": [0.195691, 0.047489, -0.291262, 0.180081, -0.410633, 0.034101, -0.349102], "network.10.weight": [[-0.185006, -0.486648, 0.123988, 0.11166, 0.171742, -0.336695, -0.346646]], "network.10.bias": [0.143712]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6944684982299805, "train_acc": 0.565, "val_loss": 0.6977012157440186, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.636586457490921, "train_acc": 0.58, "val_loss": 0.5350987315177917, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 1.320799469947815, "train_acc": 0.51, "val_loss": 0.36427366733551025, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6071077138185501, "train_acc": 0.845, "val_loss": 0.5709871053695679, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5403624475002289, "train_acc": 0.795, "val_loss": 0.5372839570045471, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5269720256328583, "train_acc": 0.83, "val_loss": 0.49694404006004333, "val_acc": 0.86}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6977012157440186, "final_val_loss": 0.5350987315177917, "initial_val_acc": 0.48, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.36427366733551025, "final_val_loss": 0.49694404006004333, "initial_val_acc": 0.84, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
261
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.98, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6447, "learning_rate": 0.08035653283636177, "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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"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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## Activation Signature
### 0
fourier: [[23.549447, 23.928237, 25.479043, 25.841181, 25.886722, 32.078301, 32.356925, 35.782680, 39.001213, 77.779155], [20.280745, 21.086564, 22.377307, 23.832251, 24.475047, 24.817007, 31.057348, 31.158151, 31.234007, 43.283286], [45.778990, 50.751875, 51.653710, 54.363940, 64.344128, 66.446864, 70.120618, 73.555107, 78.684873, 588.202330], [33.182586, 34.959060, 35.605633, 38.385017, 41.750554, 42.251905, 43.969713, 45.360014, 55.737964, 382.906898], [28.034608, 29.584628, 32.069387, 32.294524, 34.674678, 36.642489, 37.434912, 38.606256, 47.925434, 99.600087], [18.656940, 18.672431, 22.672305, 24.718101, 25.192876, 25.270398, 25.864474, 31.546912, 31.685982, 266.910505], [27.924999, 28.574028, 30.765398, 31.941789, 32.527654, 37.516434, 41.357736, 46.023395, 50.380335, 65.325700]]
### 2
fourier: [[3.410759, 3.432890, 3.706156, 3.759454, 3.976801, 4.052393, 4.119467, 4.230216, 4.379559, 34.193263], [17.594465, 19.357444, 20.391425, 20.817686, 20.900339, 21.578852, 21.709683, 23.343563, 28.191787, 137.143970], [20.186206, 20.320898, 20.979630, 21.359761, 23.378608, 23.487624, 23.614316, 24.632509, 31.737391, 181.735397], [7.993980, 8.086587, 8.150741, 8.413119, 9.929619, 10.423299, 11.029027, 13.439645, 14.597470, 69.210352], [18.186983, 19.047370, 22.567565, 23.803285, 23.918529, 25.033741, 27.416593, 29.500774, 29.962109, 212.745555], [10.328711, 11.134128, 11.678768, 12.190446, 12.816585, 13.116958, 13.562848, 15.765205, 17.793405, 134.060480], [8.429770, 8.913265, 8.913624, 9.497594, 9.508099, 10.188802, 10.443966, 11.106984, 13.330478, 96.871550]]
### 4
fourier: [[3.069232, 3.329260, 3.410700, 3.446368, 3.616851, 3.701163, 3.730113, 4.274152, 5.148164, 61.568748], [23.708484, 24.599924, 25.312243, 27.093956, 27.338990, 27.920542, 28.114494, 29.666695, 37.431622, 229.952707], [11.054714, 11.206970, 11.449248, 12.593472, 12.634207, 12.671111, 12.970672, 13.434345, 17.401491, 140.305909], [13.347393, 13.535222, 15.639896, 16.897402, 17.407387, 18.764735, 20.295775, 20.712670, 22.112067, 190.126096], [42.046783, 45.929510, 46.763671, 47.776657, 49.343230, 51.164428, 51.893658, 55.102538, 67.688474, 367.558738], [3.728965, 3.737862, 4.034050, 4.472729, 4.856841, 5.230509, 5.331982, 5.478286, 6.037218, 64.370283], [4.707761, 4.981576, 5.473530, 5.605241, 5.898581, 5.908570, 6.199783, 6.494134, 7.841924, 60.974258]]
### 6
fourier: [[48.312660, 52.305355, 52.886915, 55.546656, 55.980760, 58.508462, 59.157524, 62.669995, 77.493148, 446.920906], [12.015005, 12.689850, 12.911245, 13.740123, 13.805707, 14.373128, 14.401973, 15.258624, 19.102663, 168.292982], [0.307346, 0.347555, 0.364346, 0.413163, 0.415129, 0.457089, 0.457108, 0.511926, 0.521083, 14.105830], [8.920833, 10.094825, 10.096585, 10.357998, 10.497262, 11.047323, 11.348904, 12.022839, 14.541265, 132.101213], [6.183286, 6.919002, 6.939106, 7.161316, 7.247208, 7.613646, 7.790243, 8.252656, 10.037485, 83.175734], [28.078061, 31.186034, 31.333674, 32.465186, 32.823600, 34.443224, 35.148271, 37.234313, 45.455970, 225.847195], [15.099943, 16.253035, 16.457694, 17.338874, 17.461867, 18.233692, 18.397058, 19.489705, 24.169742, 149.877620]]
### 8
fourier: [[28.143917, 30.540113, 30.666458, 32.363515, 32.562809, 34.052916, 34.488663, 36.589841, 45.084856, 351.936576], [22.596833, 24.221377, 24.674234, 25.806244, 26.265346, 27.274002, 27.461090, 29.055840, 36.175328, 247.938842], [19.192543, 21.051378, 21.457790, 21.827603, 22.682254, 23.456309, 24.079871, 25.618475, 30.915178, 181.165160], [57.064315, 62.462758, 62.490288, 65.623266, 66.297837, 69.310694, 70.454773, 74.780338, 91.644074, 487.517830], [44.340884, 47.941300, 48.442281, 51.011785, 51.287708, 53.645498, 54.221093, 57.454412, 71.064889, 409.392060], [30.819745, 33.905852, 33.949145, 35.542776, 35.834075, 37.552087, 38.249928, 40.591744, 49.611241, 128.255821], [61.392571, 67.257174, 67.385117, 70.572626, 71.421408, 74.633055, 75.938808, 80.614899, 98.647963, 527.649087]]
### 10
fourier: [[90.435817, 95.534521, 100.288428, 102.596193, 108.787706, 109.430789, 112.016297, 114.880054, 146.992383, 620.630161]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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## Activation Signature
### 0
fourier: [[23.549447, 23.928237, 25.479043, 25.841181, 25.886722, 32.078301, 32.356925, 35.782680, 39.001213, 77.779155], [20.280745, 21.086564, 22.377307, 23.832251, 24.475047, 24.817007, 31.057348, 31.158151, 31.234007, 43.283286], [45.778990, 50.751875, 51.653710, 54.363940, 64.344128, 66.446864, 70.120618, 73.555107, 78.684873, 588.202330], [33.182586, 34.959060, 35.605633, 38.385017, 41.750554, 42.251905, 43.969713, 45.360014, 55.737964, 382.906898], [28.034608, 29.584628, 32.069387, 32.294524, 34.674678, 36.642489, 37.434912, 38.606256, 47.925434, 99.600087], [18.656940, 18.672431, 22.672305, 24.718101, 25.192876, 25.270398, 25.864474, 31.546912, 31.685982, 266.910505], [27.924999, 28.574028, 30.765398, 31.941789, 32.527654, 37.516434, 41.357736, 46.023395, 50.380335, 65.325700]]
### 2
fourier: [[3.410759, 3.432890, 3.706156, 3.759454, 3.976801, 4.052393, 4.119467, 4.230216, 4.379559, 34.193263], [17.594465, 19.357444, 20.391425, 20.817686, 20.900339, 21.578852, 21.709683, 23.343563, 28.191787, 137.143970], [20.186206, 20.320898, 20.979630, 21.359761, 23.378608, 23.487624, 23.614316, 24.632509, 31.737391, 181.735397], [7.993980, 8.086587, 8.150741, 8.413119, 9.929619, 10.423299, 11.029027, 13.439645, 14.597470, 69.210352], [18.186983, 19.047370, 22.567565, 23.803285, 23.918529, 25.033741, 27.416593, 29.500774, 29.962109, 212.745555], [10.328711, 11.134128, 11.678768, 12.190446, 12.816585, 13.116958, 13.562848, 15.765205, 17.793405, 134.060480], [8.429770, 8.913265, 8.913624, 9.497594, 9.508099, 10.188802, 10.443966, 11.106984, 13.330478, 96.871550]]
### 4
fourier: [[3.069232, 3.329260, 3.410700, 3.446368, 3.616851, 3.701163, 3.730113, 4.274152, 5.148164, 61.568748], [23.708484, 24.599924, 25.312243, 27.093956, 27.338990, 27.920542, 28.114494, 29.666695, 37.431622, 229.952707], [11.054714, 11.206970, 11.449248, 12.593472, 12.634207, 12.671111, 12.970672, 13.434345, 17.401491, 140.305909], [13.347393, 13.535222, 15.639896, 16.897402, 17.407387, 18.764735, 20.295775, 20.712670, 22.112067, 190.126096], [42.046783, 45.929510, 46.763671, 47.776657, 49.343230, 51.164428, 51.893658, 55.102538, 67.688474, 367.558738], [3.728965, 3.737862, 4.034050, 4.472729, 4.856841, 5.230509, 5.331982, 5.478286, 6.037218, 64.370283], [4.707761, 4.981576, 5.473530, 5.605241, 5.898581, 5.908570, 6.199783, 6.494134, 7.841924, 60.974258]]
### 6
fourier: [[48.312660, 52.305355, 52.886915, 55.546656, 55.980760, 58.508462, 59.157524, 62.669995, 77.493148, 446.920906], [12.015005, 12.689850, 12.911245, 13.740123, 13.805707, 14.373128, 14.401973, 15.258624, 19.102663, 168.292982], [0.307346, 0.347555, 0.364346, 0.413163, 0.415129, 0.457089, 0.457108, 0.511926, 0.521083, 14.105830], [8.920833, 10.094825, 10.096585, 10.357998, 10.497262, 11.047323, 11.348904, 12.022839, 14.541265, 132.101213], [6.183286, 6.919002, 6.939106, 7.161316, 7.247208, 7.613646, 7.790243, 8.252656, 10.037485, 83.175734], [28.078061, 31.186034, 31.333674, 32.465186, 32.823600, 34.443224, 35.148271, 37.234313, 45.455970, 225.847195], [15.099943, 16.253035, 16.457694, 17.338874, 17.461867, 18.233692, 18.397058, 19.489705, 24.169742, 149.877620]]
### 8
fourier: [[28.143917, 30.540113, 30.666458, 32.363515, 32.562809, 34.052916, 34.488663, 36.589841, 45.084856, 351.936576], [22.596833, 24.221377, 24.674234, 25.806244, 26.265346, 27.274002, 27.461090, 29.055840, 36.175328, 247.938842], [19.192543, 21.051378, 21.457790, 21.827603, 22.682254, 23.456309, 24.079871, 25.618475, 30.915178, 181.165160], [57.064315, 62.462758, 62.490288, 65.623266, 66.297837, 69.310694, 70.454773, 74.780338, 91.644074, 487.517830], [44.340884, 47.941300, 48.442281, 51.011785, 51.287708, 53.645498, 54.221093, 57.454412, 71.064889, 409.392060], [30.819745, 33.905852, 33.949145, 35.542776, 35.834075, 37.552087, 38.249928, 40.591744, 49.611241, 128.255821], [61.392571, 67.257174, 67.385117, 70.572626, 71.421408, 74.633055, 75.938808, 80.614899, 98.647963, 527.649087]]
### 10
fourier: [[90.435817, 95.534521, 100.288428, 102.596193, 108.787706, 109.430789, 112.016297, 114.880054, 146.992383, 620.630161]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.516941, -0.743337, 0.395806, -0.00536, 0.089025], [-0.121996, -0.597358, 0.27575, -0.339898, 0.499199], [-0.636628, -0.331362, -0.205983, -1.254956, -0.985829], [-0.684849, -0.198806, -0.504153, -0.635112, -0.252795], [-0.699622, -0.139806, -0.579052, 0.309221, 0.294562], [-0.087848, -0.514358, -0.293427, -0.310736, -0.081502], [-1.065716, 0.094736, 0.025919, 0.487278, 0.169328]], "network.0.bias": [0.208519, 0.653353, -0.802205, -0.313133, 0.201906, -0.539266, 0.571514], "network.2.weight": [[0.011022, -0.176391, -0.139796, -0.090576, -0.1699, 0.228014, -0.089809], [0.440232, 0.798326, 0.466017, -0.332215, 0.186063, 0.117069, 0.799041], [0.535401, 0.789384, -0.13862, 0.3021, -0.026551, -0.126077, 0.963265], [0.315431, 0.498028, -0.29466, -0.179276, -0.251228, 0.070601, 0.365775], [0.321554, 0.702472, 0.68756, 0.413304, 0.475092, -0.134363, 0.956318], [-0.276899, -0.086549, 0.101517, -0.1874, -0.485637, -0.271088, -0.465956], [-0.336286, -0.267565, -0.284538, 0.061133, -0.620409, -0.040935, -0.159472]], "network.2.bias": [-0.080645, -0.312013, 0.008142, -0.068143, 0.298342, -0.522452, -0.356679], "network.4.weight": [[-0.013306, 0.006612, 0.071133, -0.293016, -0.113797, 0.239259, 0.285261], [-0.152545, -0.5465, -0.580096, -0.195016, -0.061291, -0.184999, 0.198301], [-0.199372, 0.243689, 0.427463, 0.000207, -0.086564, -0.276889, 0.240723], [-0.230287, -0.210704, 0.039164, 0.314963, -0.69692, 0.05975, 0.162556], [0.001257, 0.733031, 0.990695, 0.316801, 0.41426, -0.131693, 0.316665], [0.022417, -0.098647, 0.279123, -0.101079, -0.338588, -0.391434, -0.319682], [0.070026, 0.159048, -0.057268, -0.206662, -0.242898, -0.195857, -0.356707]], "network.4.bias": [-0.339911, -0.217552, 0.512938, -0.455815, -0.308749, -0.24259, -0.078715], "network.6.weight": [[-0.218767, 0.000615, 0.664541, -0.545287, 0.987893, -0.022246, -0.232023], [-0.119572, -0.020408, 0.414487, -0.472783, 0.178163, -0.084586, 0.104504], [-0.363696, 0.347168, 0.48937, -0.09771, -0.119984, -0.052206, 0.077873], [0.119088, -0.353044, 0.219095, -0.297058, -0.275014, 0.154613, 0.102292], [0.103542, 0.169551, 0.090838, -0.345821, -0.174088, -0.006525, 0.077685], [0.040185, 0.162488, -0.230274, 0.017548, 0.741159, 0.562578, 0.025949], [-0.263573, 0.352789, -0.281956, -0.121367, -0.288645, -0.128723, 0.248796]], "network.6.bias": [-0.139752, 0.48983, -0.42537, -0.676451, -0.348647, -0.184744, -0.036701], "network.8.weight": [[-0.297382, -0.605986, -0.095945, 0.172297, -0.262799, -0.240211, -0.230639], [-0.490641, -0.24611, 0.291544, 0.335587, -0.00224, 0.150302, 0.139071], [-0.104853, 0.133026, 0.304538, -0.079657, 0.194902, -0.5815, -0.114432], [0.791265, 0.065605, -0.034471, 0.074289, -0.093999, 0.667413, 0.125344], [0.78378, 0.405371, -0.217561, 0.110218, 0.072675, 0.059311, -0.300069], [-0.616833, 0.672467, -0.249856, 0.147936, -0.202904, -0.336466, -0.032339], [0.866517, -0.159131, 0.319628, 0.182253, 0.479723, 0.792876, -0.104629]], "network.8.bias": [-0.682061, -0.245231, -0.243842, -0.353431, -0.254003, 1.246825, -0.184008], "network.10.weight": [[-0.013429, 0.047228, 0.057784, -0.42322, -0.515238, 1.313456, -0.58186]], "network.10.bias": [0.674565]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7065585851669312, "train_acc": 0.57, "val_loss": 0.7141064405441284, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6822171211242676, "train_acc": 0.57, "val_loss": 0.6647311449050903, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6341498494148254, "train_acc": 0.5, "val_loss": 0.44490090012550354, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4558718651533127, "train_acc": 0.885, "val_loss": 0.3224983215332031, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3781973570585251, "train_acc": 0.925, "val_loss": 0.24813300371170044, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.24994685500860214, "train_acc": 0.945, "val_loss": 0.1973075419664383, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2420482113957405, "train_acc": 0.925, "val_loss": 0.1643894612789154, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24477630108594894, "train_acc": 0.92, "val_loss": 0.13525047898292542, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.18200021237134933, "train_acc": 0.935, "val_loss": 0.09004899859428406, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.14777370169758797, "train_acc": 0.955, "val_loss": 0.08954679220914841, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.16549944877624512, "train_acc": 0.955, "val_loss": 0.15428099036216736, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.16425461322069168, "train_acc": 0.95, "val_loss": 0.2141556590795517, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7141064405441284, "final_val_loss": 0.6647311449050903, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.44490090012550354, "final_val_loss": 0.2141556590795517, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 8}, "improvement": 0.48, "first_improvement_epoch": 1}}
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262
|
{"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": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5752, "learning_rate": 0.049284043875883636, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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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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0.484493
],
[
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],
[
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]
],
"network.4.bias": [
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0.022501,
0.036219
],
"network.6.weight": [
[
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],
[
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],
[
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0.621519,
0.227154,
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],
[
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[
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0.046578
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[
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"network.6.bias": [
0.325586,
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"network.8.weight": [
[
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],
"network.8.bias": [
-0.341784
]
}
## Activation Signature
### 0
fourier: [[15.398054, 19.724199, 20.350372, 20.442922, 22.137366, 22.672706, 22.794663, 28.350256, 28.526115, 129.992577], [20.759633, 22.850370, 24.203326, 24.795463, 26.969919, 27.578086, 28.331544, 28.597497, 31.208502, 31.696018], [20.990638, 20.997049, 22.007469, 22.015520, 22.721066, 23.729118, 23.961079, 31.313271, 32.547718, 108.994181], [19.563675, 21.575387, 21.653159, 22.183640, 24.184936, 24.484202, 26.675385, 29.045279, 33.817868, 121.237874], [24.321511, 24.671739, 24.838279, 25.382888, 25.866026, 30.655535, 33.552978, 36.644677, 37.710522, 54.302236], [31.171127, 31.186492, 33.473376, 34.462292, 37.079910, 37.730234, 38.561269, 41.930811, 49.000603, 378.660679]]
### 2
fourier: [[33.594513, 37.454052, 38.063770, 38.888136, 40.886087, 40.989193, 43.274870, 43.560923, 57.264624, 87.122870], [22.456257, 22.697776, 22.856161, 24.864644, 25.153407, 26.417584, 26.474534, 27.556357, 29.704142, 37.147100], [22.699632, 22.758201, 22.778338, 25.351991, 26.398725, 26.868103, 27.893603, 31.131259, 37.796332, 285.279613], [24.716814, 25.722804, 26.262424, 28.701270, 29.509712, 33.006909, 35.258114, 36.750513, 41.014668, 191.321976], [20.164958, 20.499414, 22.772767, 23.107134, 23.621394, 25.008246, 26.435198, 28.213307, 30.643627, 34.611150], [15.170933, 19.403809, 20.369399, 20.768946, 22.554610, 22.649052, 23.314245, 23.976287, 25.939060, 167.696388]]
### 4
fourier: [[34.436507, 37.765936, 38.644916, 39.568496, 43.141603, 47.567939, 50.339995, 53.546056, 59.316529, 225.000599], [34.463627, 37.152242, 37.374942, 38.485064, 43.048951, 44.658870, 50.437894, 50.951375, 56.866423, 259.772804], [28.282288, 29.882595, 30.209771, 35.680932, 37.548353, 38.011642, 39.108484, 40.287942, 41.884396, 117.614709], [51.507269, 54.511603, 55.390283, 59.096932, 63.455257, 71.034168, 73.323753, 77.097405, 89.954161, 363.525787], [8.457391, 9.745264, 9.781590, 10.725512, 12.196861, 12.344083, 12.511029, 13.697313, 15.005595, 40.746701], [37.449552, 39.282257, 39.337022, 41.111717, 44.346056, 48.353934, 48.912619, 49.102712, 53.631757, 54.238086]]
### 6
fourier: [[28.340853, 31.480660, 35.173036, 35.380610, 36.045709, 37.383981, 44.479821, 45.084558, 47.683189, 107.789115], [14.970433, 15.996608, 16.531204, 18.234914, 21.034337, 23.487048, 23.683527, 24.046980, 25.416919, 243.492464], [73.616176, 75.102720, 79.221698, 86.866913, 91.880508, 94.994918, 103.569854, 107.632057, 128.102436, 622.037828], [21.433016, 21.641366, 21.865936, 25.170292, 25.279411, 28.405353, 28.833732, 30.717150, 36.813395, 124.030399], [9.113030, 10.005743, 10.021496, 11.272388, 11.799841, 11.940174, 13.362456, 14.247295, 15.940960, 71.035111], [32.915640, 35.893532, 39.683715, 41.967132, 42.321196, 44.584834, 50.671931, 51.769763, 58.670981, 173.500115]]
### 8
fourier: [[55.935970, 60.836097, 62.393254, 68.073712, 72.239164, 73.778732, 83.063154, 83.473408, 100.465234, 485.000374]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.067612,
0.149834
],
[
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],
[
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],
[
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],
[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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],
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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],
"network.4.bias": [
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"network.6.weight": [
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"network.8.weight": [
[
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],
"network.8.bias": [
-0.341784
]
}
## Activation Signature
### 0
fourier: [[15.398054, 19.724199, 20.350372, 20.442922, 22.137366, 22.672706, 22.794663, 28.350256, 28.526115, 129.992577], [20.759633, 22.850370, 24.203326, 24.795463, 26.969919, 27.578086, 28.331544, 28.597497, 31.208502, 31.696018], [20.990638, 20.997049, 22.007469, 22.015520, 22.721066, 23.729118, 23.961079, 31.313271, 32.547718, 108.994181], [19.563675, 21.575387, 21.653159, 22.183640, 24.184936, 24.484202, 26.675385, 29.045279, 33.817868, 121.237874], [24.321511, 24.671739, 24.838279, 25.382888, 25.866026, 30.655535, 33.552978, 36.644677, 37.710522, 54.302236], [31.171127, 31.186492, 33.473376, 34.462292, 37.079910, 37.730234, 38.561269, 41.930811, 49.000603, 378.660679]]
### 2
fourier: [[33.594513, 37.454052, 38.063770, 38.888136, 40.886087, 40.989193, 43.274870, 43.560923, 57.264624, 87.122870], [22.456257, 22.697776, 22.856161, 24.864644, 25.153407, 26.417584, 26.474534, 27.556357, 29.704142, 37.147100], [22.699632, 22.758201, 22.778338, 25.351991, 26.398725, 26.868103, 27.893603, 31.131259, 37.796332, 285.279613], [24.716814, 25.722804, 26.262424, 28.701270, 29.509712, 33.006909, 35.258114, 36.750513, 41.014668, 191.321976], [20.164958, 20.499414, 22.772767, 23.107134, 23.621394, 25.008246, 26.435198, 28.213307, 30.643627, 34.611150], [15.170933, 19.403809, 20.369399, 20.768946, 22.554610, 22.649052, 23.314245, 23.976287, 25.939060, 167.696388]]
### 4
fourier: [[34.436507, 37.765936, 38.644916, 39.568496, 43.141603, 47.567939, 50.339995, 53.546056, 59.316529, 225.000599], [34.463627, 37.152242, 37.374942, 38.485064, 43.048951, 44.658870, 50.437894, 50.951375, 56.866423, 259.772804], [28.282288, 29.882595, 30.209771, 35.680932, 37.548353, 38.011642, 39.108484, 40.287942, 41.884396, 117.614709], [51.507269, 54.511603, 55.390283, 59.096932, 63.455257, 71.034168, 73.323753, 77.097405, 89.954161, 363.525787], [8.457391, 9.745264, 9.781590, 10.725512, 12.196861, 12.344083, 12.511029, 13.697313, 15.005595, 40.746701], [37.449552, 39.282257, 39.337022, 41.111717, 44.346056, 48.353934, 48.912619, 49.102712, 53.631757, 54.238086]]
### 6
fourier: [[28.340853, 31.480660, 35.173036, 35.380610, 36.045709, 37.383981, 44.479821, 45.084558, 47.683189, 107.789115], [14.970433, 15.996608, 16.531204, 18.234914, 21.034337, 23.487048, 23.683527, 24.046980, 25.416919, 243.492464], [73.616176, 75.102720, 79.221698, 86.866913, 91.880508, 94.994918, 103.569854, 107.632057, 128.102436, 622.037828], [21.433016, 21.641366, 21.865936, 25.170292, 25.279411, 28.405353, 28.833732, 30.717150, 36.813395, 124.030399], [9.113030, 10.005743, 10.021496, 11.272388, 11.799841, 11.940174, 13.362456, 14.247295, 15.940960, 71.035111], [32.915640, 35.893532, 39.683715, 41.967132, 42.321196, 44.584834, 50.671931, 51.769763, 58.670981, 173.500115]]
### 8
fourier: [[55.935970, 60.836097, 62.393254, 68.073712, 72.239164, 73.778732, 83.063154, 83.473408, 100.465234, 485.000374]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[0.45161, -0.192489, 0.367935, 0.067612, 0.149834], [0.627048, 0.430801, -0.346211, -0.403682, 0.055002], [-0.555075, 0.086108, -0.144164, 0.50056, 0.294866], [0.627644, -0.022708, 0.140287, 0.015579, 0.212542], [-0.438667, -0.68107, 0.571616, -0.114264, 0.596967], [0.487794, 0.068141, 0.81941, 0.342596, 0.205068]], "network.0.bias": [0.134756, 0.307871, 0.60895, 0.018812, 0.083852, 0.776888], "network.2.weight": [[0.354568, 0.654433, -0.760315, 0.057122, -0.900422, 0.377347], [0.242484, 0.198262, -0.528528, 0.347555, -0.485612, 0.102788], [0.053181, -0.129417, 0.68402, -0.328936, 0.687641, 0.444855], [0.187231, -0.573639, 0.468939, -0.721337, 0.699364, 0.352699], [0.10941, 0.305943, -0.536095, 0.479511, -0.278855, -0.039487], [0.201507, -0.25113, 0.063869, 0.051274, 0.512316, 0.270446]], "network.2.bias": [0.050664, 0.010042, 0.299418, 0.575375, 0.398538, 0.111128], "network.4.weight": [[-0.08622, -0.230255, 0.27999, 0.608337, -0.765337, 0.493428], [-0.015442, -0.063454, 0.49564, 0.708484, -0.741241, 0.018437], [-0.407005, -0.266981, -0.105992, 0.13957, -0.704453, 0.240398], [-0.489487, -0.40516, 0.650803, 0.917866, -0.174976, 0.484493], [-0.050053, 0.04751, 0.008984, 0.21541, -0.134801, -0.483946], [0.628996, 0.334642, -0.006738, -0.474487, 0.340759, 0.108658]], "network.4.bias": [0.143956, 0.256408, -0.527184, 0.115098, 0.022501, 0.036219], "network.6.weight": [[-0.288071, -0.154355, 0.070367, -0.17125, -0.628567, 0.418446], [-0.020263, -0.123347, 0.319767, -0.147083, -0.23287, -0.65985], [0.522409, 0.783939, -0.722947, 0.621519, 0.227154, -0.412899], [-0.503628, -0.098578, -0.646188, -0.011177, -0.558638, 0.102552], [-0.097493, -0.366558, -0.655807, 0.141634, -0.567796, 0.046578], [-0.216691, -0.178129, -0.481449, -0.344911, -0.574194, 0.345938]], "network.6.bias": [0.325586, -0.825928, 0.751848, 0.263882, -0.079665, 0.341083], "network.8.weight": [[0.504111, 0.186614, -0.74512, 0.161195, 0.36934, 0.153802]], "network.8.bias": [-0.341784]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.675748884677887, "train_acc": 0.605, "val_loss": 0.7485790848731995, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6514272391796112, "train_acc": 0.605, "val_loss": 0.657462477684021, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5698827803134918, "train_acc": 0.625, "val_loss": 0.4325203001499176, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3862617313861847, "train_acc": 0.89, "val_loss": 0.4327693283557892, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2787584662437439, "train_acc": 0.9, "val_loss": 0.368457555770874, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2593599259853363, "train_acc": 0.915, "val_loss": 0.34117525815963745, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2449197694659233, "train_acc": 0.925, "val_loss": 0.40549927949905396, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2669028043746948, "train_acc": 0.92, "val_loss": 0.26983290910720825, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2373955026268959, "train_acc": 0.925, "val_loss": 0.2572416365146637, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2468627393245697, "train_acc": 0.92, "val_loss": 0.25180521607398987, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.24785026907920837, "train_acc": 0.915, "val_loss": 0.2558608949184418, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.23137418925762177, "train_acc": 0.925, "val_loss": 0.260039359331131, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7485790848731995, "final_val_loss": 0.657462477684021, "initial_val_acc": 0.36, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.4325203001499176, "final_val_loss": 0.260039359331131, "initial_val_acc": 0.88, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
263
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{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4466, "learning_rate": 0.02209760203104449, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[13.245669, 13.398017, 13.796625, 14.643660, 16.184244, 17.119487, 20.090236, 21.945430, 23.337591, 140.411386], [11.980261, 13.455601, 14.499938, 14.903938, 15.313627, 15.683264, 16.570394, 16.908316, 17.149885, 55.618443], [16.795777, 17.672109, 20.147673, 20.398987, 21.448633, 22.050115, 22.663103, 24.410801, 26.539765, 116.824375], [21.322841, 21.539823, 23.498218, 23.723383, 24.856069, 29.108900, 33.278515, 36.106993, 38.958757, 213.971410], [17.358442, 18.463603, 18.652461, 19.156713, 19.256789, 19.872485, 20.077644, 20.465066, 22.889947, 148.387303], [18.292528, 18.719253, 20.547246, 22.067454, 23.586047, 27.234154, 27.432331, 28.601091, 35.217028, 97.219869], [11.779748, 12.317822, 12.532093, 12.571914, 14.085810, 14.449679, 15.369744, 17.816919, 23.258496, 108.144653]]
### 2
fourier: [[10.626622, 10.946725, 13.073295, 14.399755, 15.081761, 16.727202, 17.114129, 22.165171, 22.346317, 81.167658], [8.418486, 8.844121, 8.895715, 10.879203, 12.710284, 12.773478, 12.966883, 13.718959, 17.163139, 26.770651], [11.851691, 12.022246, 12.704038, 13.295648, 14.307816, 15.809301, 17.286418, 18.820195, 21.084753, 22.457371], [13.807643, 14.383469, 15.162455, 15.951626, 16.630663, 18.870393, 22.605135, 23.217723, 26.209420, 30.925677], [19.475327, 19.586822, 23.117699, 24.692626, 25.118558, 26.084314, 27.202152, 36.374427, 39.697766, 150.233218], [23.793557, 24.265642, 26.896116, 28.337508, 28.477927, 36.566717, 42.377605, 48.880966, 50.115015, 225.570520], [14.604066, 15.947111, 16.193110, 17.533550, 19.246594, 19.864939, 20.513285, 26.285565, 27.801338, 104.918142]]
### 4
fourier: [[19.408814, 20.632624, 22.683746, 24.692513, 25.808737, 27.198149, 27.925618, 36.595473, 39.217771, 116.011396], [14.618840, 14.641992, 15.284380, 17.476829, 19.554667, 21.343866, 21.791976, 25.914749, 30.080897, 85.578301], [17.757536, 17.984438, 19.720310, 22.629181, 24.757937, 24.968771, 25.331449, 35.118251, 35.463399, 106.614341], [14.613977, 16.337368, 16.622996, 16.718732, 17.449969, 19.302310, 22.223649, 25.088204, 26.848805, 58.461469], [35.298404, 35.582753, 36.274206, 44.206292, 50.564433, 54.522808, 54.616726, 72.527819, 73.502264, 241.932584], [5.958832, 6.240330, 6.273163, 6.360929, 6.411564, 7.144757, 7.190151, 7.864296, 8.040593, 16.656742], [14.216452, 16.204761, 16.625346, 16.650735, 17.852970, 19.561201, 22.026953, 25.788180, 27.042507, 29.427001]]
### 6
fourier: [[24.286635, 25.842072, 26.860847, 31.783131, 32.240424, 35.353396, 37.261294, 46.685131, 48.040513, 124.921156], [31.074751, 32.603125, 32.956961, 39.397167, 43.420344, 46.265997, 47.272771, 59.922995, 63.073727, 181.679887], [30.738542, 31.609217, 31.779246, 39.753149, 43.143373, 45.519288, 45.766939, 60.946764, 61.813539, 171.872254], [40.754008, 41.322451, 41.547777, 52.328126, 60.820657, 61.941015, 62.584449, 84.199538, 85.445074, 279.776470], [11.708637, 11.725605, 12.375972, 13.748997, 16.052477, 16.708132, 17.069074, 21.186756, 23.293936, 89.026496], [45.384487, 46.445928, 47.735863, 58.712277, 67.245656, 68.066900, 68.845405, 92.887678, 94.075695, 311.681286], [28.250497, 28.331045, 28.414089, 36.171682, 41.879642, 42.316005, 43.067563, 57.920260, 58.082763, 204.001088]]
### 8
fourier: [[12.875427, 13.639609, 14.078034, 17.046391, 18.308980, 19.082748, 19.649297, 25.793321, 26.215610, 79.867871], [31.956344, 32.598816, 32.780438, 41.374137, 47.775909, 48.030479, 48.521028, 65.494730, 66.389319, 194.478287], [10.025518, 10.204270, 10.560249, 12.915915, 14.821570, 15.185473, 15.208952, 20.482223, 21.294664, 33.679586], [10.147493, 10.151268, 10.408205, 13.107164, 14.638764, 14.738480, 15.141557, 20.260910, 20.889778, 68.088288], [15.503564, 15.617625, 16.134023, 20.120047, 22.351521, 23.263372, 23.359572, 31.000787, 31.510240, 92.032891], [77.296642, 78.648834, 79.255692, 100.810894, 116.824677, 118.305168, 119.571757, 161.006619, 163.810622, 563.530190], [46.572416, 47.179443, 47.872456, 60.531965, 70.404586, 70.652479, 71.799115, 96.778629, 97.597926, 319.333260]]
### 10
fourier: [[4.130764, 4.299275, 4.350209, 5.474260, 6.170727, 6.370385, 6.384766, 8.466556, 9.081465, 40.109842], [34.740549, 35.003796, 36.586734, 44.994444, 52.628136, 53.174828, 53.551424, 72.205215, 73.256879, 259.454588], [46.829414, 47.670554, 48.987138, 61.073069, 71.163311, 72.275854, 72.690506, 98.821774, 99.332448, 304.227253], [48.773402, 48.957976, 48.987378, 62.163960, 71.531261, 74.073359, 74.376010, 100.432364, 102.501157, 324.010269], [47.930661, 48.612659, 49.052921, 61.904297, 71.466314, 73.473832, 73.904847, 99.966916, 101.457292, 321.143695], [43.254022, 43.947592, 44.402561, 56.036462, 64.670492, 66.326243, 66.774729, 90.407088, 91.607656, 320.045444], [43.003880, 43.555236, 44.031325, 55.499212, 64.225399, 65.937202, 66.304323, 89.688690, 91.038771, 322.847791]]
### 12
fourier: [[73.673531, 73.766797, 74.648945, 93.477768, 107.678711, 112.507892, 112.723459, 153.354320, 154.611124, 480.918308]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[13.245669, 13.398017, 13.796625, 14.643660, 16.184244, 17.119487, 20.090236, 21.945430, 23.337591, 140.411386], [11.980261, 13.455601, 14.499938, 14.903938, 15.313627, 15.683264, 16.570394, 16.908316, 17.149885, 55.618443], [16.795777, 17.672109, 20.147673, 20.398987, 21.448633, 22.050115, 22.663103, 24.410801, 26.539765, 116.824375], [21.322841, 21.539823, 23.498218, 23.723383, 24.856069, 29.108900, 33.278515, 36.106993, 38.958757, 213.971410], [17.358442, 18.463603, 18.652461, 19.156713, 19.256789, 19.872485, 20.077644, 20.465066, 22.889947, 148.387303], [18.292528, 18.719253, 20.547246, 22.067454, 23.586047, 27.234154, 27.432331, 28.601091, 35.217028, 97.219869], [11.779748, 12.317822, 12.532093, 12.571914, 14.085810, 14.449679, 15.369744, 17.816919, 23.258496, 108.144653]]
### 2
fourier: [[10.626622, 10.946725, 13.073295, 14.399755, 15.081761, 16.727202, 17.114129, 22.165171, 22.346317, 81.167658], [8.418486, 8.844121, 8.895715, 10.879203, 12.710284, 12.773478, 12.966883, 13.718959, 17.163139, 26.770651], [11.851691, 12.022246, 12.704038, 13.295648, 14.307816, 15.809301, 17.286418, 18.820195, 21.084753, 22.457371], [13.807643, 14.383469, 15.162455, 15.951626, 16.630663, 18.870393, 22.605135, 23.217723, 26.209420, 30.925677], [19.475327, 19.586822, 23.117699, 24.692626, 25.118558, 26.084314, 27.202152, 36.374427, 39.697766, 150.233218], [23.793557, 24.265642, 26.896116, 28.337508, 28.477927, 36.566717, 42.377605, 48.880966, 50.115015, 225.570520], [14.604066, 15.947111, 16.193110, 17.533550, 19.246594, 19.864939, 20.513285, 26.285565, 27.801338, 104.918142]]
### 4
fourier: [[19.408814, 20.632624, 22.683746, 24.692513, 25.808737, 27.198149, 27.925618, 36.595473, 39.217771, 116.011396], [14.618840, 14.641992, 15.284380, 17.476829, 19.554667, 21.343866, 21.791976, 25.914749, 30.080897, 85.578301], [17.757536, 17.984438, 19.720310, 22.629181, 24.757937, 24.968771, 25.331449, 35.118251, 35.463399, 106.614341], [14.613977, 16.337368, 16.622996, 16.718732, 17.449969, 19.302310, 22.223649, 25.088204, 26.848805, 58.461469], [35.298404, 35.582753, 36.274206, 44.206292, 50.564433, 54.522808, 54.616726, 72.527819, 73.502264, 241.932584], [5.958832, 6.240330, 6.273163, 6.360929, 6.411564, 7.144757, 7.190151, 7.864296, 8.040593, 16.656742], [14.216452, 16.204761, 16.625346, 16.650735, 17.852970, 19.561201, 22.026953, 25.788180, 27.042507, 29.427001]]
### 6
fourier: [[24.286635, 25.842072, 26.860847, 31.783131, 32.240424, 35.353396, 37.261294, 46.685131, 48.040513, 124.921156], [31.074751, 32.603125, 32.956961, 39.397167, 43.420344, 46.265997, 47.272771, 59.922995, 63.073727, 181.679887], [30.738542, 31.609217, 31.779246, 39.753149, 43.143373, 45.519288, 45.766939, 60.946764, 61.813539, 171.872254], [40.754008, 41.322451, 41.547777, 52.328126, 60.820657, 61.941015, 62.584449, 84.199538, 85.445074, 279.776470], [11.708637, 11.725605, 12.375972, 13.748997, 16.052477, 16.708132, 17.069074, 21.186756, 23.293936, 89.026496], [45.384487, 46.445928, 47.735863, 58.712277, 67.245656, 68.066900, 68.845405, 92.887678, 94.075695, 311.681286], [28.250497, 28.331045, 28.414089, 36.171682, 41.879642, 42.316005, 43.067563, 57.920260, 58.082763, 204.001088]]
### 8
fourier: [[12.875427, 13.639609, 14.078034, 17.046391, 18.308980, 19.082748, 19.649297, 25.793321, 26.215610, 79.867871], [31.956344, 32.598816, 32.780438, 41.374137, 47.775909, 48.030479, 48.521028, 65.494730, 66.389319, 194.478287], [10.025518, 10.204270, 10.560249, 12.915915, 14.821570, 15.185473, 15.208952, 20.482223, 21.294664, 33.679586], [10.147493, 10.151268, 10.408205, 13.107164, 14.638764, 14.738480, 15.141557, 20.260910, 20.889778, 68.088288], [15.503564, 15.617625, 16.134023, 20.120047, 22.351521, 23.263372, 23.359572, 31.000787, 31.510240, 92.032891], [77.296642, 78.648834, 79.255692, 100.810894, 116.824677, 118.305168, 119.571757, 161.006619, 163.810622, 563.530190], [46.572416, 47.179443, 47.872456, 60.531965, 70.404586, 70.652479, 71.799115, 96.778629, 97.597926, 319.333260]]
### 10
fourier: [[4.130764, 4.299275, 4.350209, 5.474260, 6.170727, 6.370385, 6.384766, 8.466556, 9.081465, 40.109842], [34.740549, 35.003796, 36.586734, 44.994444, 52.628136, 53.174828, 53.551424, 72.205215, 73.256879, 259.454588], [46.829414, 47.670554, 48.987138, 61.073069, 71.163311, 72.275854, 72.690506, 98.821774, 99.332448, 304.227253], [48.773402, 48.957976, 48.987378, 62.163960, 71.531261, 74.073359, 74.376010, 100.432364, 102.501157, 324.010269], [47.930661, 48.612659, 49.052921, 61.904297, 71.466314, 73.473832, 73.904847, 99.966916, 101.457292, 321.143695], [43.254022, 43.947592, 44.402561, 56.036462, 64.670492, 66.326243, 66.774729, 90.407088, 91.607656, 320.045444], [43.003880, 43.555236, 44.031325, 55.499212, 64.225399, 65.937202, 66.304323, 89.688690, 91.038771, 322.847791]]
### 12
fourier: [[73.673531, 73.766797, 74.648945, 93.477768, 107.678711, 112.507892, 112.723459, 153.354320, 154.611124, 480.918308]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.7071622908115387, "train_acc": 0.415, "val_loss": 0.6903774738311768, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.675302654504776, "train_acc": 0.585, "val_loss": 0.7014268636703491, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6372747123241425, "train_acc": 0.585, "val_loss": 0.699873685836792, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5960243940353394, "train_acc": 0.585, "val_loss": 0.6117682456970215, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5874272286891937, "train_acc": 0.51, "val_loss": 0.5013120174407959, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5063358396291733, "train_acc": 0.745, "val_loss": 0.4309521019458771, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4448562264442444, "train_acc": 0.845, "val_loss": 0.38493645191192627, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4298250079154968, "train_acc": 0.82, "val_loss": 0.3369828164577484, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.38762788474559784, "train_acc": 0.85, "val_loss": 0.31477248668670654, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3714153915643692, "train_acc": 0.86, "val_loss": 0.29462382197380066, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3416970521211624, "train_acc": 0.865, "val_loss": 0.3021032214164734, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3538559675216675, "train_acc": 0.85, "val_loss": 0.2784184515476227, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3199097365140915, "train_acc": 0.875, "val_loss": 0.2721324861049652, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.310839980840683, "train_acc": 0.875, "val_loss": 0.2653345465660095, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6903774738311768, "final_val_loss": 0.6117682456970215, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5013120174407959, "final_val_loss": 0.2653345465660095, "initial_val_acc": 0.66, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.4799999999999999, "first_improvement_epoch": 3}}
|
264
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.74, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5010, "learning_rate": 0.08547798758999299, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.weight": [
[
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0.205909,
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]
],
"network.10.bias": [
0.152001
]
}
## Activation Signature
### 0
fourier: [[24.385665, 27.001891, 27.271305, 28.562180, 29.278603, 29.505246, 32.425782, 32.731845, 40.547208, 53.899006], [21.229220, 21.390085, 21.698469, 22.518457, 23.928700, 24.392892, 25.534167, 26.742111, 28.037659, 28.433172], [15.466146, 15.965341, 16.158416, 16.496825, 18.246367, 18.762825, 18.859881, 20.496865, 24.969832, 37.421821], [32.811310, 34.194482, 36.421111, 37.644528, 38.654568, 39.046377, 39.557645, 41.067346, 45.071100, 209.775626], [20.947473, 24.192055, 24.664376, 25.963796, 26.635711, 27.993599, 28.268099, 28.722751, 29.145778, 66.697424], [11.519128, 11.997473, 12.751890, 12.890868, 13.032060, 13.629178, 15.367161, 16.200427, 20.442610, 62.586601], [19.279021, 19.314854, 20.066474, 20.545371, 20.844546, 21.403867, 24.961243, 26.792435, 30.332850, 218.928356], [20.076138, 20.364136, 21.265041, 21.375708, 21.862643, 22.492515, 22.509582, 27.534330, 30.007396, 186.742926]]
### 2
fourier: [[19.448991, 21.621020, 21.985473, 23.023524, 24.322621, 25.521056, 25.651243, 25.794105, 30.720203, 133.596247], [19.714371, 19.787487, 20.303764, 21.084450, 21.760508, 22.204270, 23.390110, 23.411053, 24.063151, 99.467687], [37.567378, 38.109043, 39.031094, 40.183368, 44.072114, 45.351115, 45.789762, 47.069466, 48.116432, 246.724790], [26.066306, 27.143573, 28.253927, 30.200159, 30.732981, 34.601534, 35.080638, 39.176301, 40.928422, 161.138617], [23.749172, 24.037750, 24.556960, 26.435911, 27.439318, 28.415898, 28.798104, 30.381494, 30.726776, 138.758013], [11.722911, 12.899752, 13.575271, 14.140215, 15.452880, 15.596146, 16.867416, 17.873319, 18.378109, 62.186300], [10.391489, 10.408775, 10.585218, 10.721189, 10.959062, 11.239748, 12.649328, 13.303622, 14.048973, 44.364088], [13.254636, 13.396820, 13.917865, 14.949511, 15.854435, 16.208755, 16.562193, 19.217771, 20.369968, 78.204829]]
### 4
fourier: [[44.759488, 48.793226, 52.021452, 54.979651, 57.425132, 58.251015, 58.673028, 63.915618, 64.621591, 295.981114], [3.274545, 3.275232, 3.286460, 3.329449, 3.349161, 3.409880, 3.470907, 4.288601, 4.939047, 42.331009], [35.643879, 39.867175, 42.609920, 43.706205, 45.224242, 45.682478, 48.386699, 52.603252, 52.957429, 258.961687], [6.807108, 6.926597, 6.979549, 6.994930, 7.471356, 7.795707, 7.920720, 8.384412, 10.251275, 89.774710], [46.836065, 49.848225, 52.870761, 57.153800, 59.669312, 60.120461, 61.451959, 63.940526, 67.789686, 306.841424], [38.777794, 43.472243, 46.697233, 47.790426, 49.417950, 50.733543, 51.677651, 55.434825, 56.473223, 295.622799], [11.124195, 11.490437, 12.114927, 13.392141, 14.025054, 14.357285, 14.687435, 15.250275, 17.622034, 55.155438], [34.553318, 35.039148, 36.650573, 39.397577, 41.281697, 42.086064, 43.144906, 43.806979, 46.186365, 201.871319]]
### 6
fourier: [[21.268808, 23.271491, 24.601913, 26.453397, 27.056389, 27.704590, 28.438060, 29.531805, 30.992829, 155.387006], [27.122397, 29.400230, 31.526141, 33.326707, 34.505591, 35.666988, 35.703673, 38.761873, 38.984797, 168.920440], [32.604686, 36.801882, 38.771314, 42.072364, 42.784857, 43.201235, 44.365764, 46.503976, 49.652686, 200.783106], [42.793191, 46.718225, 49.287838, 53.299097, 54.495477, 55.549005, 57.340251, 58.936533, 62.582157, 286.917627], [12.489724, 13.620029, 14.248487, 15.757794, 15.990784, 16.034432, 16.799933, 16.817519, 18.698869, 85.950460], [9.480940, 10.028117, 10.089747, 10.717757, 11.496033, 11.960767, 12.391140, 12.828023, 12.875887, 13.400814], [1.231190, 1.250870, 1.279864, 1.353949, 1.365903, 1.628438, 1.630962, 1.677797, 2.082933, 45.781939], [17.116808, 19.116446, 20.308036, 21.433623, 21.866296, 22.714793, 22.877145, 24.643198, 24.923884, 127.565439]]
### 8
fourier: [[19.797754, 23.027590, 23.616037, 25.575162, 26.116933, 26.284923, 26.927614, 27.690329, 30.421585, 129.940597], [37.691730, 44.122942, 44.943571, 48.444278, 49.683769, 50.061902, 50.860113, 52.644799, 57.691956, 264.765607], [32.214338, 34.862239, 37.266342, 39.971547, 40.578024, 41.915626, 43.130731, 45.169174, 46.636517, 197.181946], [22.978150, 26.765320, 27.354193, 29.171068, 29.866012, 30.426381, 30.606256, 32.328988, 34.615781, 156.325673], [24.937715, 29.284962, 29.552765, 31.814164, 33.020791, 33.190937, 33.428569, 34.565743, 37.967181, 211.934709], [3.784797, 3.896405, 4.118185, 4.278885, 4.451905, 4.601344, 4.914085, 5.085192, 5.318546, 10.555398], [24.425374, 26.068302, 28.204197, 30.389076, 30.601390, 31.621382, 32.891717, 34.274122, 35.359956, 151.265239], [26.847980, 28.750388, 31.091516, 33.468038, 33.670870, 34.825243, 36.183339, 37.804129, 38.948652, 154.968233]]
### 10
fourier: [[20.138210, 22.109523, 23.583487, 25.084517, 25.211857, 26.098138, 27.100300, 28.211875, 29.477717, 109.737953]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[24.385665, 27.001891, 27.271305, 28.562180, 29.278603, 29.505246, 32.425782, 32.731845, 40.547208, 53.899006], [21.229220, 21.390085, 21.698469, 22.518457, 23.928700, 24.392892, 25.534167, 26.742111, 28.037659, 28.433172], [15.466146, 15.965341, 16.158416, 16.496825, 18.246367, 18.762825, 18.859881, 20.496865, 24.969832, 37.421821], [32.811310, 34.194482, 36.421111, 37.644528, 38.654568, 39.046377, 39.557645, 41.067346, 45.071100, 209.775626], [20.947473, 24.192055, 24.664376, 25.963796, 26.635711, 27.993599, 28.268099, 28.722751, 29.145778, 66.697424], [11.519128, 11.997473, 12.751890, 12.890868, 13.032060, 13.629178, 15.367161, 16.200427, 20.442610, 62.586601], [19.279021, 19.314854, 20.066474, 20.545371, 20.844546, 21.403867, 24.961243, 26.792435, 30.332850, 218.928356], [20.076138, 20.364136, 21.265041, 21.375708, 21.862643, 22.492515, 22.509582, 27.534330, 30.007396, 186.742926]]
### 2
fourier: [[19.448991, 21.621020, 21.985473, 23.023524, 24.322621, 25.521056, 25.651243, 25.794105, 30.720203, 133.596247], [19.714371, 19.787487, 20.303764, 21.084450, 21.760508, 22.204270, 23.390110, 23.411053, 24.063151, 99.467687], [37.567378, 38.109043, 39.031094, 40.183368, 44.072114, 45.351115, 45.789762, 47.069466, 48.116432, 246.724790], [26.066306, 27.143573, 28.253927, 30.200159, 30.732981, 34.601534, 35.080638, 39.176301, 40.928422, 161.138617], [23.749172, 24.037750, 24.556960, 26.435911, 27.439318, 28.415898, 28.798104, 30.381494, 30.726776, 138.758013], [11.722911, 12.899752, 13.575271, 14.140215, 15.452880, 15.596146, 16.867416, 17.873319, 18.378109, 62.186300], [10.391489, 10.408775, 10.585218, 10.721189, 10.959062, 11.239748, 12.649328, 13.303622, 14.048973, 44.364088], [13.254636, 13.396820, 13.917865, 14.949511, 15.854435, 16.208755, 16.562193, 19.217771, 20.369968, 78.204829]]
### 4
fourier: [[44.759488, 48.793226, 52.021452, 54.979651, 57.425132, 58.251015, 58.673028, 63.915618, 64.621591, 295.981114], [3.274545, 3.275232, 3.286460, 3.329449, 3.349161, 3.409880, 3.470907, 4.288601, 4.939047, 42.331009], [35.643879, 39.867175, 42.609920, 43.706205, 45.224242, 45.682478, 48.386699, 52.603252, 52.957429, 258.961687], [6.807108, 6.926597, 6.979549, 6.994930, 7.471356, 7.795707, 7.920720, 8.384412, 10.251275, 89.774710], [46.836065, 49.848225, 52.870761, 57.153800, 59.669312, 60.120461, 61.451959, 63.940526, 67.789686, 306.841424], [38.777794, 43.472243, 46.697233, 47.790426, 49.417950, 50.733543, 51.677651, 55.434825, 56.473223, 295.622799], [11.124195, 11.490437, 12.114927, 13.392141, 14.025054, 14.357285, 14.687435, 15.250275, 17.622034, 55.155438], [34.553318, 35.039148, 36.650573, 39.397577, 41.281697, 42.086064, 43.144906, 43.806979, 46.186365, 201.871319]]
### 6
fourier: [[21.268808, 23.271491, 24.601913, 26.453397, 27.056389, 27.704590, 28.438060, 29.531805, 30.992829, 155.387006], [27.122397, 29.400230, 31.526141, 33.326707, 34.505591, 35.666988, 35.703673, 38.761873, 38.984797, 168.920440], [32.604686, 36.801882, 38.771314, 42.072364, 42.784857, 43.201235, 44.365764, 46.503976, 49.652686, 200.783106], [42.793191, 46.718225, 49.287838, 53.299097, 54.495477, 55.549005, 57.340251, 58.936533, 62.582157, 286.917627], [12.489724, 13.620029, 14.248487, 15.757794, 15.990784, 16.034432, 16.799933, 16.817519, 18.698869, 85.950460], [9.480940, 10.028117, 10.089747, 10.717757, 11.496033, 11.960767, 12.391140, 12.828023, 12.875887, 13.400814], [1.231190, 1.250870, 1.279864, 1.353949, 1.365903, 1.628438, 1.630962, 1.677797, 2.082933, 45.781939], [17.116808, 19.116446, 20.308036, 21.433623, 21.866296, 22.714793, 22.877145, 24.643198, 24.923884, 127.565439]]
### 8
fourier: [[19.797754, 23.027590, 23.616037, 25.575162, 26.116933, 26.284923, 26.927614, 27.690329, 30.421585, 129.940597], [37.691730, 44.122942, 44.943571, 48.444278, 49.683769, 50.061902, 50.860113, 52.644799, 57.691956, 264.765607], [32.214338, 34.862239, 37.266342, 39.971547, 40.578024, 41.915626, 43.130731, 45.169174, 46.636517, 197.181946], [22.978150, 26.765320, 27.354193, 29.171068, 29.866012, 30.426381, 30.606256, 32.328988, 34.615781, 156.325673], [24.937715, 29.284962, 29.552765, 31.814164, 33.020791, 33.190937, 33.428569, 34.565743, 37.967181, 211.934709], [3.784797, 3.896405, 4.118185, 4.278885, 4.451905, 4.601344, 4.914085, 5.085192, 5.318546, 10.555398], [24.425374, 26.068302, 28.204197, 30.389076, 30.601390, 31.621382, 32.891717, 34.274122, 35.359956, 151.265239], [26.847980, 28.750388, 31.091516, 33.468038, 33.670870, 34.825243, 36.183339, 37.804129, 38.948652, 154.968233]]
### 10
fourier: [[20.138210, 22.109523, 23.583487, 25.084517, 25.211857, 26.098138, 27.100300, 28.211875, 29.477717, 109.737953]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.066252, 0.701341, 0.068589, 0.010703, -0.820972], [-0.204725, -0.661648, -0.161272, 0.230834, 0.402378], [-0.036725, 0.364884, 0.252345, -0.521277, 0.070885], [0.842253, 0.75249, -0.072456, -0.0762, 0.20938], [0.380147, 0.372021, 0.136298, -0.137388, -0.761413], [0.103709, 0.31483, 0.001591, 0.034926, -0.380189], [-0.243979, -0.149559, -0.428683, -0.170873, -0.259011], [-0.23101, -0.36848, -0.302807, -0.240487, -0.110577]], "network.0.bias": [0.084739, 0.555837, 0.299905, -0.031976, 0.539093, 0.383336, -0.275042, 0.16863], "network.2.weight": [[0.146966, -0.049914, -0.172161, 0.356556, 0.252059, 0.494679, -0.059946, 0.166972], [-0.026584, -0.035635, 0.308211, 0.347583, 0.190754, 0.478556, 0.129744, 0.017608], [0.504855, -0.405098, 0.002064, 0.659429, 0.441156, 0.062494, 0.036171, -0.352993], [0.365087, -0.448234, 0.108228, 0.248277, 0.70644, 0.176355, 0.376844, 0.000579], [0.498642, -0.234191, 0.015156, 0.470608, -0.003838, 0.025247, -0.051251, -0.024072], [0.334346, -0.333292, 0.114291, 0.072543, 0.28402, -0.143406, -0.113189, -0.067894], [0.059329, 0.179344, -0.310308, 0.403417, -0.224564, -0.114996, 0.555862, -0.022849], [-0.082487, -0.396649, 0.154714, 0.141786, 0.366745, 0.291491, -0.565663, 0.108406]], "network.2.bias": [-0.057655, -0.509386, 0.295256, 0.01463, -0.02574, 0.038315, -0.035628, 0.051504], "network.4.weight": [[0.212788, 0.389828, 0.660884, 0.144991, 0.105586, 0.343376, -0.232984, 0.296898], [0.096358, -0.213388, 0.10505, -0.350503, 0.146314, -0.020686, -0.072579, 0.154175], [-0.329581, -0.127077, -0.0822, -0.615234, -0.113419, 0.05078, -0.196747, -0.545542], [0.144153, -0.139522, -0.228317, -0.164308, 0.323551, -0.006954, -0.056901, -0.096368], [0.257387, 0.08691, 0.649046, 0.275943, 0.451869, 0.205432, -0.08377, -0.041689], [0.054522, -0.26215, -0.344529, -0.499204, -0.123658, -0.424113, -0.354841, -0.205464], [-0.041305, 0.091328, -0.084183, 0.302412, 0.379776, 0.009938, -0.237492, -0.12112], [0.34965, 0.039324, 0.482161, -0.038005, 0.502281, -0.143487, -0.172788, 0.091361]], "network.4.bias": [-0.155374, -0.319806, -0.088976, -0.492901, -0.168889, -0.250636, -0.120497, -0.250878], "network.6.weight": [[-0.154332, 0.055978, 0.248372, 0.2054, -0.159737, -0.13041, -0.045713, -0.205799], [0.35811, -0.346389, -0.200118, 0.110812, 0.44478, -0.175015, -0.25414, -0.211088], [0.359566, 0.119983, 0.276049, 0.032747, 0.046325, -0.03338, 0.466452, 0.330372], [0.154205, 0.166466, 0.008455, -0.360131, 0.425366, 0.309366, 0.160694, 0.45883], [0.063633, -0.125934, 0.019547, 0.094506, -0.16265, 0.272952, -0.19805, -0.181243], [0.110117, 0.332558, 0.408757, -0.055198, -0.331287, 0.474392, 0.185652, -0.02948], [-0.113251, -0.060815, 0.465116, -0.497667, 0.083118, -0.061415, 0.111939, 0.039013], [-0.391941, 0.174431, -0.200655, 0.391017, 0.113852, 0.079053, -0.01002, -0.156851]], "network.6.bias": [-0.170954, -0.182963, -0.179183, 0.072099, -0.065109, 0.749028, 0.435713, -0.147065], "network.8.weight": [[0.341257, 0.130135, -0.341682, -0.305301, 0.250494, -0.178767, -0.027896, -0.392621], [0.318936, 0.107429, -0.57598, -0.566361, 0.193043, -0.491721, 0.194556, 0.106595], [-0.129626, 0.373681, 0.027318, 0.491462, -0.13227, -0.159421, -0.257235, 0.144617], [0.050898, -0.176978, -0.353457, -0.196939, 0.131565, -0.291027, 0.516037, 0.075406], [0.086062, -0.150854, -0.035309, -0.499352, 0.251565, -0.496377, -0.409454, -0.238061], [0.267801, 0.024988, -0.057628, -0.044597, -0.191565, 0.245421, 0.299682, -0.191252], [-0.16466, 0.147281, 0.158574, 0.33984, 0.299463, -0.280322, -0.223843, 0.179885], [-0.113047, 0.207853, 0.198599, 0.326589, -0.078921, -0.306607, -0.228038, -0.060645]], "network.8.bias": [0.127768, 0.024499, 0.036324, -0.140945, -0.025029, -0.125531, 0.165459, 0.054177], "network.10.weight": [[0.078471, -0.05525, -0.150276, 0.032922, -0.058334, 0.205909, -0.268221, -0.334021]], "network.10.bias": [0.152001]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6907689571380615, "train_acc": 0.475, "val_loss": 0.7335811853408813, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.639938235282898, "train_acc": 0.575, "val_loss": 0.5954511761665344, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7861670553684235, "train_acc": 0.51, "val_loss": 0.5250604152679443, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5439363718032837, "train_acc": 0.755, "val_loss": 0.6286529302597046, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6043609380722046, "train_acc": 0.695, "val_loss": 0.6328105926513672, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5927331149578094, "train_acc": 0.7, "val_loss": 0.5780623555183411, "val_acc": 0.72}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7335811853408813, "final_val_loss": 0.5954511761665344, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5250604152679443, "final_val_loss": 0.5780623555183411, "initial_val_acc": 0.74, "final_val_acc": 0.72, "best_val_acc": 0.74, "best_epoch": 2}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
265
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.5, "improved_accuracy": 0.7, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1351, "learning_rate": 0.05242250383009301, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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[
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],
[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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}
## Activation Signature
### 0
fourier: [[19.816705, 20.920272, 20.979746, 21.867002, 21.868986, 23.273534, 25.151355, 25.893143, 29.498245, 69.915134], [29.311633, 29.756894, 30.519551, 32.074353, 32.562376, 33.496930, 34.549293, 34.721441, 37.767201, 39.775320], [27.873379, 29.266766, 29.473604, 30.252241, 30.869089, 31.206738, 31.215572, 39.094129, 40.413611, 301.043818], [21.615583, 21.696312, 21.921322, 22.176803, 23.501097, 23.775402, 26.218246, 26.222073, 43.298075, 181.023917], [23.861410, 27.842197, 29.113588, 29.588792, 32.995743, 33.157249, 34.541029, 38.743539, 38.930544, 317.298350], [18.088640, 18.275258, 18.623179, 20.405830, 21.477871, 21.747898, 26.451886, 26.746335, 27.602160, 223.268202]]
### 2
fourier: [[14.662580, 16.054680, 16.549663, 16.844394, 17.579955, 17.606776, 17.653986, 19.079996, 29.967478, 97.591590], [16.444773, 17.026074, 17.077986, 17.206375, 17.303762, 18.217558, 20.828362, 24.652140, 25.192947, 156.289039], [12.876979, 13.195114, 13.450129, 13.451522, 13.824293, 14.595090, 16.181317, 16.788760, 25.467135, 165.752215], [12.610493, 12.844004, 13.243704, 13.285665, 14.014052, 17.858703, 18.341228, 20.317135, 21.212104, 75.229584], [16.104493, 16.183271, 16.618320, 17.034294, 17.348416, 18.777199, 19.190596, 19.406882, 29.167335, 214.865086], [10.407097, 10.414397, 11.292086, 11.385485, 12.330657, 13.221414, 13.975529, 14.196080, 21.703528, 152.562821]]
### 4
fourier: [[1.005401, 1.097221, 1.119043, 1.163135, 1.257140, 1.264201, 1.353666, 1.384102, 1.642360, 38.636447], [3.887824, 3.943494, 4.012122, 4.067644, 4.116964, 4.300812, 4.469878, 4.970516, 5.547670, 22.498649], [3.301994, 3.331634, 3.367885, 3.737379, 3.894657, 3.931496, 3.936985, 4.351430, 5.012593, 23.520790], [1.029114, 1.045402, 1.054772, 1.106346, 1.179169, 1.181796, 1.187015, 1.715913, 1.719254, 25.396718], [1.221261, 1.283433, 1.341990, 1.414708, 1.454014, 1.497572, 1.549193, 1.565092, 1.842380, 46.330500], [2.264709, 2.406876, 2.545304, 2.581713, 2.727252, 2.800993, 2.912248, 3.055648, 3.089580, 3.691689]]
### 6
fourier: [[2.196739, 2.343495, 2.432239, 2.488073, 2.562970, 2.621478, 2.707750, 2.788829, 2.969845, 67.296004], [1.205524, 1.215830, 1.244027, 1.375309, 1.385990, 1.434584, 1.452304, 1.465195, 1.734762, 38.509851], [3.756394, 3.775393, 3.791099, 3.857295, 4.087881, 4.088418, 4.634066, 4.651574, 4.660075, 23.264782], [2.170859, 2.218348, 2.219532, 2.303774, 2.321870, 2.324714, 2.460658, 2.966241, 3.187252, 35.550825], [6.151978, 6.210213, 6.285766, 7.027241, 7.216303, 7.228863, 7.354386, 8.073745, 9.247580, 18.469228], [4.393869, 4.515674, 4.638982, 5.043233, 5.073675, 5.262040, 5.411045, 5.676586, 6.523023, 23.048401]]
### 8
fourier: [[1.984719, 2.056614, 2.273189, 2.319987, 2.342639, 2.394222, 2.523214, 2.531548, 2.920489, 59.189941], [3.224439, 3.379058, 3.388054, 3.502471, 3.610222, 3.688326, 3.781764, 4.265061, 4.769059, 7.306932], [6.695802, 6.899047, 7.519665, 7.836107, 7.885511, 8.078906, 8.410930, 8.480694, 9.817924, 25.457287], [2.722176, 2.799331, 3.093021, 3.177076, 3.203914, 3.268672, 3.454053, 3.457939, 3.997403, 44.751441], [8.841535, 8.887882, 9.415758, 10.250349, 10.281878, 10.475599, 10.829545, 11.295061, 12.971413, 40.358018], [4.430370, 4.598964, 5.088539, 5.209244, 5.265636, 5.376453, 5.587234, 5.621221, 6.486980, 50.535245]]
### 10
fourier: [[9.601064, 10.010058, 10.353900, 10.943259, 11.089144, 11.227339, 12.097655, 12.539703, 14.355026, 48.178804]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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}
## Activation Signature
### 0
fourier: [[19.816705, 20.920272, 20.979746, 21.867002, 21.868986, 23.273534, 25.151355, 25.893143, 29.498245, 69.915134], [29.311633, 29.756894, 30.519551, 32.074353, 32.562376, 33.496930, 34.549293, 34.721441, 37.767201, 39.775320], [27.873379, 29.266766, 29.473604, 30.252241, 30.869089, 31.206738, 31.215572, 39.094129, 40.413611, 301.043818], [21.615583, 21.696312, 21.921322, 22.176803, 23.501097, 23.775402, 26.218246, 26.222073, 43.298075, 181.023917], [23.861410, 27.842197, 29.113588, 29.588792, 32.995743, 33.157249, 34.541029, 38.743539, 38.930544, 317.298350], [18.088640, 18.275258, 18.623179, 20.405830, 21.477871, 21.747898, 26.451886, 26.746335, 27.602160, 223.268202]]
### 2
fourier: [[14.662580, 16.054680, 16.549663, 16.844394, 17.579955, 17.606776, 17.653986, 19.079996, 29.967478, 97.591590], [16.444773, 17.026074, 17.077986, 17.206375, 17.303762, 18.217558, 20.828362, 24.652140, 25.192947, 156.289039], [12.876979, 13.195114, 13.450129, 13.451522, 13.824293, 14.595090, 16.181317, 16.788760, 25.467135, 165.752215], [12.610493, 12.844004, 13.243704, 13.285665, 14.014052, 17.858703, 18.341228, 20.317135, 21.212104, 75.229584], [16.104493, 16.183271, 16.618320, 17.034294, 17.348416, 18.777199, 19.190596, 19.406882, 29.167335, 214.865086], [10.407097, 10.414397, 11.292086, 11.385485, 12.330657, 13.221414, 13.975529, 14.196080, 21.703528, 152.562821]]
### 4
fourier: [[1.005401, 1.097221, 1.119043, 1.163135, 1.257140, 1.264201, 1.353666, 1.384102, 1.642360, 38.636447], [3.887824, 3.943494, 4.012122, 4.067644, 4.116964, 4.300812, 4.469878, 4.970516, 5.547670, 22.498649], [3.301994, 3.331634, 3.367885, 3.737379, 3.894657, 3.931496, 3.936985, 4.351430, 5.012593, 23.520790], [1.029114, 1.045402, 1.054772, 1.106346, 1.179169, 1.181796, 1.187015, 1.715913, 1.719254, 25.396718], [1.221261, 1.283433, 1.341990, 1.414708, 1.454014, 1.497572, 1.549193, 1.565092, 1.842380, 46.330500], [2.264709, 2.406876, 2.545304, 2.581713, 2.727252, 2.800993, 2.912248, 3.055648, 3.089580, 3.691689]]
### 6
fourier: [[2.196739, 2.343495, 2.432239, 2.488073, 2.562970, 2.621478, 2.707750, 2.788829, 2.969845, 67.296004], [1.205524, 1.215830, 1.244027, 1.375309, 1.385990, 1.434584, 1.452304, 1.465195, 1.734762, 38.509851], [3.756394, 3.775393, 3.791099, 3.857295, 4.087881, 4.088418, 4.634066, 4.651574, 4.660075, 23.264782], [2.170859, 2.218348, 2.219532, 2.303774, 2.321870, 2.324714, 2.460658, 2.966241, 3.187252, 35.550825], [6.151978, 6.210213, 6.285766, 7.027241, 7.216303, 7.228863, 7.354386, 8.073745, 9.247580, 18.469228], [4.393869, 4.515674, 4.638982, 5.043233, 5.073675, 5.262040, 5.411045, 5.676586, 6.523023, 23.048401]]
### 8
fourier: [[1.984719, 2.056614, 2.273189, 2.319987, 2.342639, 2.394222, 2.523214, 2.531548, 2.920489, 59.189941], [3.224439, 3.379058, 3.388054, 3.502471, 3.610222, 3.688326, 3.781764, 4.265061, 4.769059, 7.306932], [6.695802, 6.899047, 7.519665, 7.836107, 7.885511, 8.078906, 8.410930, 8.480694, 9.817924, 25.457287], [2.722176, 2.799331, 3.093021, 3.177076, 3.203914, 3.268672, 3.454053, 3.457939, 3.997403, 44.751441], [8.841535, 8.887882, 9.415758, 10.250349, 10.281878, 10.475599, 10.829545, 11.295061, 12.971413, 40.358018], [4.430370, 4.598964, 5.088539, 5.209244, 5.265636, 5.376453, 5.587234, 5.621221, 6.486980, 50.535245]]
### 10
fourier: [[9.601064, 10.010058, 10.353900, 10.943259, 11.089144, 11.227339, 12.097655, 12.539703, 14.355026, 48.178804]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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6.486979590649678, 50.5352449119091]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [9.601063600848901, 10.010058103402313, 10.353899545539495, 10.943259203679254, 11.0891435284322, 11.227339469266177, 12.097655360863339, 12.539702711239679, 14.355026394205941, 48.178803980350494]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.291531, -0.289262, -0.743976, 0.187346, 0.18939], [-0.991897, -0.355101, 0.447039, 0.166572, 0.160427], [0.108464, 0.101888, 0.772761, 0.583667, 0.199748], [-0.152957, 0.721354, 0.461315, -0.447093, 0.381415], [-0.033761, -0.51466, -0.051579, -0.53037, -0.562201], [-0.182083, -0.048814, -0.239359, -0.548486, -0.187598]], "network.0.bias": [0.306219, 0.166963, -0.087919, 0.411974, -0.607225, -0.257654], "network.2.weight": [[0.863176, -0.454171, 0.051839, -0.616198, 0.048595, -0.032104], [0.485103, -0.555153, -0.520211, 0.21802, -0.052722, -0.162389], [-0.145903, -0.092263, -0.088127, -0.575931, -0.116127, 0.138149], [0.342747, -0.276513, -0.516912, 0.382183, -0.196793, 0.160055], [0.055879, -0.308262, -0.214461, -0.53015, -0.078793, -0.390172], [-0.143012, 0.103349, -0.010989, -0.552687, -0.535662, -0.044361]], "network.2.bias": [0.134018, -0.17784, -0.242523, 0.208682, -0.358545, -0.541083], "network.4.weight": [[0.074347, -0.235237, 0.011134, -0.339519, 0.040165, -0.064078], [0.88806, 0.476368, -0.195182, 0.348215, 0.237914, 0.250737], [0.671431, 0.34962, 0.040599, 0.665029, -0.126761, -0.042608], [0.253726, -0.473538, -0.063047, 0.172894, 0.068023, -0.013697], [-0.232262, -0.174423, 0.467858, -0.279715, 0.058174, 0.184732], [-0.202399, 0.737391, -0.263143, 0.73882, 0.325057, 0.252247]], "network.4.bias": [-0.398008, 0.089927, 0.093619, 0.231811, 0.578927, -0.035511], "network.6.weight": [[0.087055, -0.257928, -0.109101, 0.219242, 0.411205, -0.453092], [0.387323, -0.125361, -0.379946, 0.369439, -0.165055, -0.058694], [-0.189816, 0.003449, 0.539878, -0.04904, -0.559498, 0.683555], [-0.215272, -0.179668, -0.508505, -0.492711, -0.476953, 0.250291], [0.35738, 0.695765, 0.789362, 0.076106, -0.371235, 0.482138], [0.039488, 0.308586, 0.690786, 0.280937, -0.108054, 0.499247]], "network.6.bias": [0.601846, -0.312045, 0.366096, 0.14821, -0.042275, -0.063435], "network.8.weight": [[-0.088104, -0.345203, -0.255874, -0.217775, -0.146171, -0.116288], [-0.094577, -0.105522, -0.335755, 0.245562, 0.563404, 0.191255], [-0.58441, -0.287324, 0.363605, -0.171424, 0.465135, 0.376797], [-0.155082, -0.229434, -0.36314, -0.364964, -0.223678, -0.135032], [0.010574, 0.252766, 0.499038, 0.349358, 0.734183, 0.68511], [0.519538, -0.205624, -0.293797, -0.222573, -0.355975, -0.087038]], "network.8.bias": [-0.456595, -0.124018, 0.404395, -0.192734, -0.061178, 0.366897], "network.10.weight": [[0.140732, 0.323319, 0.477772, -0.093165, 0.427173, -0.637809]], "network.10.bias": [-0.523701]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6742919385433197, "train_acc": 0.595, "val_loss": 0.774549663066864, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6654365658760071, "train_acc": 0.595, "val_loss": 0.7795224785804749, "val_acc": 0.36}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6651929020881653, "train_acc": 0.595, "val_loss": 0.7228859066963196, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6434337496757507, "train_acc": 0.64, "val_loss": 0.6331667900085449, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6043188869953156, "train_acc": 0.705, "val_loss": 0.5839967727661133, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5614988505840302, "train_acc": 0.72, "val_loss": 0.6323463916778564, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5478810966014862, "train_acc": 0.725, "val_loss": 0.5810151100158691, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5439025461673737, "train_acc": 0.745, "val_loss": 0.5290235280990601, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.48581206798553467, "train_acc": 0.77, "val_loss": 0.5378429293632507, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.47807490825653076, "train_acc": 0.78, "val_loss": 0.5897672176361084, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4851364642381668, "train_acc": 0.775, "val_loss": 0.599331796169281, "val_acc": 0.66}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.774549663066864, "final_val_loss": 0.7228859066963196, "initial_val_acc": 0.36, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6331667900085449, "final_val_loss": 0.599331796169281, "initial_val_acc": 0.58, "final_val_acc": 0.66, "best_val_acc": 0.7, "best_epoch": 8}, "improvement": 0.19999999999999996, "first_improvement_epoch": 2}}
|
266
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "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": 4642, "learning_rate": 0.04261412415990347, "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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"network.2.weight": [
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"network.6.weight": [
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}
## Activation Signature
### 0
fourier: [[18.603497, 18.961346, 19.895495, 20.262198, 20.807676, 21.025578, 22.104698, 27.029771, 27.155475, 140.045760], [19.062549, 19.378185, 20.016672, 21.269129, 21.618010, 22.201641, 22.987568, 23.488943, 23.881230, 90.267519], [27.836753, 28.164595, 28.396607, 28.822367, 29.074844, 32.000229, 32.616843, 32.737081, 34.297954, 37.978944], [22.193811, 22.712703, 23.907955, 27.226373, 27.555171, 28.277485, 28.414735, 32.422557, 33.629530, 184.656428], [17.411568, 19.474647, 19.879130, 21.001698, 21.012078, 25.482985, 26.372214, 27.287760, 29.061443, 188.116818], [25.264987, 26.657514, 28.291674, 31.891146, 33.604264, 34.042463, 37.793652, 38.155032, 40.370903, 256.094185], [14.767919, 14.977239, 15.937091, 16.133251, 16.414200, 16.850732, 17.122184, 19.108801, 19.291727, 130.688291]]
### 2
fourier: [[5.646053, 5.653396, 6.151953, 6.743596, 6.820149, 7.958036, 8.287369, 8.531355, 8.787475, 67.294637], [10.773862, 11.128761, 11.511936, 11.995380, 12.044437, 13.624223, 13.659917, 13.806399, 14.810776, 114.327752], [12.042833, 12.987865, 13.601749, 13.824127, 14.754728, 15.110824, 15.513303, 19.035387, 19.143364, 151.025182], [22.704845, 23.382946, 25.684994, 25.688319, 25.808333, 28.470566, 30.619917, 33.061059, 33.890023, 169.591898], [5.676053, 5.922367, 7.021652, 7.086276, 7.210145, 7.620947, 7.784840, 10.261338, 10.802210, 81.210557], [33.987392, 34.728645, 35.729084, 37.601177, 40.720465, 42.698699, 44.123298, 46.214471, 48.480323, 299.592367], [25.752480, 28.995085, 29.433046, 30.095640, 30.173040, 30.516647, 35.503224, 35.606841, 37.527771, 205.334696]]
### 4
fourier: [[17.420968, 17.756798, 17.800871, 18.280068, 22.153051, 22.608792, 23.293022, 23.486974, 24.510202, 69.743975], [16.615433, 17.777629, 18.343974, 18.987409, 19.763976, 21.597067, 23.106868, 23.937685, 24.116187, 175.199511], [32.867934, 34.512157, 35.433475, 37.200042, 40.405730, 43.005611, 45.309095, 47.262460, 47.726005, 284.429925], [49.820664, 51.936063, 54.582394, 56.404731, 57.211504, 63.643256, 68.682084, 71.981844, 73.175375, 453.784173], [5.421464, 6.178635, 6.214797, 6.590557, 6.640653, 6.641611, 7.178518, 7.796419, 8.026716, 135.847300], [19.624501, 19.870834, 21.022927, 21.891390, 23.472460, 25.233992, 26.608637, 27.987831, 28.607415, 186.809515], [15.535851, 15.994634, 16.226443, 16.778171, 19.167830, 20.464072, 20.524403, 20.733327, 23.919321, 54.756239]]
### 6
fourier: [[1.486078, 1.491919, 1.518985, 1.576932, 1.625744, 1.713131, 1.794321, 1.887585, 2.258154, 27.648026], [29.323375, 30.871382, 32.269596, 33.138995, 35.120810, 38.172693, 40.681568, 42.337809, 42.618348, 232.329364], [10.608105, 10.715675, 10.863396, 10.867995, 11.590061, 13.250451, 13.807177, 15.030684, 15.736738, 139.166197], [18.699543, 19.880520, 20.641793, 21.359773, 22.506934, 24.235290, 26.210935, 27.160224, 27.446127, 193.624712], [32.046179, 32.971658, 33.347861, 33.788695, 38.324992, 39.408043, 40.958279, 42.053950, 42.456997, 262.145629], [11.558363, 12.080316, 12.624704, 13.040215, 13.706073, 15.004305, 15.968591, 16.668967, 16.831325, 108.084087], [50.817696, 55.177890, 57.198179, 58.129472, 63.668065, 66.614597, 72.093744, 73.684866, 73.830804, 419.362450]]
### 8
fourier: [[24.025017, 25.644823, 27.077724, 27.536122, 29.882572, 32.864885, 34.336363, 35.184435, 36.563075, 209.789210], [17.296134, 18.628309, 18.696400, 20.449672, 22.029099, 23.755708, 24.588438, 24.987747, 26.056244, 178.318129], [12.271958, 12.468860, 13.040517, 13.957142, 14.273887, 16.082037, 17.025591, 17.586063, 18.223708, 109.453931], [49.662304, 53.480981, 55.770580, 57.685634, 62.389539, 68.325312, 71.158291, 72.950579, 75.684925, 453.676515], [67.091187, 71.564943, 75.481909, 76.811274, 83.222340, 91.547779, 95.565336, 98.125759, 101.753154, 583.346606], [48.823818, 51.677713, 55.092727, 55.243987, 60.021823, 66.274912, 69.373401, 71.214790, 73.937836, 418.994885], [13.401302, 14.542104, 14.954845, 15.744528, 16.930761, 18.470600, 19.152512, 19.705011, 20.343601, 147.625309]]
### 10
fourier: [[80.829343, 86.138175, 90.960935, 92.512625, 100.240332, 110.421468, 115.226431, 118.246255, 122.809861, 663.251583]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[18.603497, 18.961346, 19.895495, 20.262198, 20.807676, 21.025578, 22.104698, 27.029771, 27.155475, 140.045760], [19.062549, 19.378185, 20.016672, 21.269129, 21.618010, 22.201641, 22.987568, 23.488943, 23.881230, 90.267519], [27.836753, 28.164595, 28.396607, 28.822367, 29.074844, 32.000229, 32.616843, 32.737081, 34.297954, 37.978944], [22.193811, 22.712703, 23.907955, 27.226373, 27.555171, 28.277485, 28.414735, 32.422557, 33.629530, 184.656428], [17.411568, 19.474647, 19.879130, 21.001698, 21.012078, 25.482985, 26.372214, 27.287760, 29.061443, 188.116818], [25.264987, 26.657514, 28.291674, 31.891146, 33.604264, 34.042463, 37.793652, 38.155032, 40.370903, 256.094185], [14.767919, 14.977239, 15.937091, 16.133251, 16.414200, 16.850732, 17.122184, 19.108801, 19.291727, 130.688291]]
### 2
fourier: [[5.646053, 5.653396, 6.151953, 6.743596, 6.820149, 7.958036, 8.287369, 8.531355, 8.787475, 67.294637], [10.773862, 11.128761, 11.511936, 11.995380, 12.044437, 13.624223, 13.659917, 13.806399, 14.810776, 114.327752], [12.042833, 12.987865, 13.601749, 13.824127, 14.754728, 15.110824, 15.513303, 19.035387, 19.143364, 151.025182], [22.704845, 23.382946, 25.684994, 25.688319, 25.808333, 28.470566, 30.619917, 33.061059, 33.890023, 169.591898], [5.676053, 5.922367, 7.021652, 7.086276, 7.210145, 7.620947, 7.784840, 10.261338, 10.802210, 81.210557], [33.987392, 34.728645, 35.729084, 37.601177, 40.720465, 42.698699, 44.123298, 46.214471, 48.480323, 299.592367], [25.752480, 28.995085, 29.433046, 30.095640, 30.173040, 30.516647, 35.503224, 35.606841, 37.527771, 205.334696]]
### 4
fourier: [[17.420968, 17.756798, 17.800871, 18.280068, 22.153051, 22.608792, 23.293022, 23.486974, 24.510202, 69.743975], [16.615433, 17.777629, 18.343974, 18.987409, 19.763976, 21.597067, 23.106868, 23.937685, 24.116187, 175.199511], [32.867934, 34.512157, 35.433475, 37.200042, 40.405730, 43.005611, 45.309095, 47.262460, 47.726005, 284.429925], [49.820664, 51.936063, 54.582394, 56.404731, 57.211504, 63.643256, 68.682084, 71.981844, 73.175375, 453.784173], [5.421464, 6.178635, 6.214797, 6.590557, 6.640653, 6.641611, 7.178518, 7.796419, 8.026716, 135.847300], [19.624501, 19.870834, 21.022927, 21.891390, 23.472460, 25.233992, 26.608637, 27.987831, 28.607415, 186.809515], [15.535851, 15.994634, 16.226443, 16.778171, 19.167830, 20.464072, 20.524403, 20.733327, 23.919321, 54.756239]]
### 6
fourier: [[1.486078, 1.491919, 1.518985, 1.576932, 1.625744, 1.713131, 1.794321, 1.887585, 2.258154, 27.648026], [29.323375, 30.871382, 32.269596, 33.138995, 35.120810, 38.172693, 40.681568, 42.337809, 42.618348, 232.329364], [10.608105, 10.715675, 10.863396, 10.867995, 11.590061, 13.250451, 13.807177, 15.030684, 15.736738, 139.166197], [18.699543, 19.880520, 20.641793, 21.359773, 22.506934, 24.235290, 26.210935, 27.160224, 27.446127, 193.624712], [32.046179, 32.971658, 33.347861, 33.788695, 38.324992, 39.408043, 40.958279, 42.053950, 42.456997, 262.145629], [11.558363, 12.080316, 12.624704, 13.040215, 13.706073, 15.004305, 15.968591, 16.668967, 16.831325, 108.084087], [50.817696, 55.177890, 57.198179, 58.129472, 63.668065, 66.614597, 72.093744, 73.684866, 73.830804, 419.362450]]
### 8
fourier: [[24.025017, 25.644823, 27.077724, 27.536122, 29.882572, 32.864885, 34.336363, 35.184435, 36.563075, 209.789210], [17.296134, 18.628309, 18.696400, 20.449672, 22.029099, 23.755708, 24.588438, 24.987747, 26.056244, 178.318129], [12.271958, 12.468860, 13.040517, 13.957142, 14.273887, 16.082037, 17.025591, 17.586063, 18.223708, 109.453931], [49.662304, 53.480981, 55.770580, 57.685634, 62.389539, 68.325312, 71.158291, 72.950579, 75.684925, 453.676515], [67.091187, 71.564943, 75.481909, 76.811274, 83.222340, 91.547779, 95.565336, 98.125759, 101.753154, 583.346606], [48.823818, 51.677713, 55.092727, 55.243987, 60.021823, 66.274912, 69.373401, 71.214790, 73.937836, 418.994885], [13.401302, 14.542104, 14.954845, 15.744528, 16.930761, 18.470600, 19.152512, 19.705011, 20.343601, 147.625309]]
### 10
fourier: [[80.829343, 86.138175, 90.960935, 92.512625, 100.240332, 110.421468, 115.226431, 118.246255, 122.809861, 663.251583]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"2": {"fourier": [12.271958139041535, 12.46885984916138, 13.040516557598679, 13.957142499447857, 14.273887183803986, 16.082037157261723, 17.02559121558341, 17.586062849910558, 18.223707581920777, 109.45393131673336]}, "3": {"fourier": [49.66230448381643, 53.480981075119175, 55.77058044653324, 57.68563375027686, 62.38953935223633, 68.3253122428774, 71.15829137737023, 72.95057920582319, 75.68492519468958, 453.6765151396394]}, "4": {"fourier": [67.09118672722903, 71.56494328757165, 75.48190920958766, 76.81127398117202, 83.22233960255843, 91.54777911637122, 95.5653360609498, 98.12575899682908, 101.75315436796747, 583.3466055244207]}, "5": {"fourier": [48.82381772971145, 51.677712910074845, 55.092727288590396, 55.243987215731494, 60.02182287474904, 66.27491174972772, 69.3734008530485, 71.2147895036216, 73.93783580465556, 418.99488461762667]}, "6": {"fourier": [13.401302250929247, 14.54210389587226, 14.954845045175503, 15.744527918293006, 16.930760524490292, 18.470600234992304, 19.152511527171434, 19.70501134815355, 20.343600809117444, 147.62530916929245]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [80.8293432230487, 86.1381748972908, 90.96093489822651, 92.51262520590744, 100.24033212353024, 110.42146788585075, 115.22643062467459, 118.24625547508194, 122.80986105287501, 663.2515830099583]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.250317, -0.23127, -0.442427, -0.09507, -0.098144], [0.454165, 0.472098, -0.096884, -0.171359, 0.182292], [-0.619662, -0.68454, 0.076, 0.471817, 0.324385], [0.546134, 0.329895, 0.27378, 0.223927, -0.34216], [-0.085817, -0.362097, -0.289727, -0.104382, -0.443919], [0.044679, 0.828759, 0.454797, 0.181411, -0.085007], [-0.031013, -0.068393, -0.135801, -0.465821, 0.394064]], "network.0.bias": [0.425963, -0.077454, 0.084156, 0.140865, 0.052977, 0.045502, -0.492284], "network.2.weight": [[0.54231, 0.318108, 0.381839, -0.157174, -0.171025, 0.146186, 0.237154], [-0.023221, -0.15756, 0.011089, -0.428797, 0.188251, 0.071801, -0.044794], [0.310278, -0.23415, -0.284766, -0.151149, 0.311641, -0.246412, 0.128014], [-0.056761, 0.442589, -0.150228, 0.206559, -0.188792, 0.442251, -0.156334], [-0.095349, -0.105274, 0.343256, -0.235062, -0.0344, 0.252142, 0.175363], [-0.205505, 0.362023, -0.380527, 0.65596, 0.167868, 0.471226, 0.04131], [0.084335, 0.295292, -0.403648, 0.214359, 0.051214, 0.580024, 0.022181]], "network.2.bias": [0.045694, -0.413993, -0.259562, -0.191183, 0.584118, 0.458463, 0.093471], "network.4.weight": [[0.354791, 0.206385, -0.072761, -0.310806, 0.453181, 0.106894, -0.541515], [0.064239, 0.216829, -0.1439, 0.031837, -0.049999, -0.325077, -0.283376], [-0.245134, 0.109003, -0.078665, 0.546872, -0.034531, 0.504143, 0.205699], [0.140021, -0.088729, 0.279958, 0.450133, 0.089144, 0.701636, 0.678437], [0.121932, -0.212899, 0.153316, 0.215086, -0.484855, -0.46444, 0.168373], [-0.183847, 0.336515, -0.022035, -0.057462, 0.133011, -0.337038, -0.266478], [0.420081, -0.030494, -0.051762, 0.09881, 0.523273, -0.130193, -0.519878]], "network.4.bias": [0.037903, -0.269142, 0.165146, 0.080878, -0.409394, -0.205934, 0.049918], "network.6.weight": [[-0.390962, -0.025212, 0.307334, -0.225707, -0.103444, 0.271442, 0.130088], [-0.370681, 0.118075, 0.423591, 0.302222, -0.094814, -0.155338, 0.176358], [-0.295529, 0.033593, -0.152667, -0.125864, -0.1377, 0.273294, -0.09246], [-0.090696, 0.202928, -0.104913, -0.303735, 0.189615, 0.126148, 0.189715], [-0.626407, -0.003791, 0.40578, 0.261903, -0.243253, 0.160845, -0.54184], [0.097013, 0.328274, -0.163344, -0.122872, 0.208638, -0.252385, -0.056962], [-0.541801, -0.113773, 0.58426, 0.603333, -0.18345, -0.317474, -0.306292]], "network.6.bias": [-0.097331, -0.252268, -0.353767, -0.310518, 0.536815, -0.070068, -0.068312], "network.8.weight": [[-0.030497, 0.028167, 0.353061, 0.177575, 0.208799, 0.043711, 0.351663], [-0.375164, 0.436269, 0.103964, 0.313305, -0.529441, 0.003192, -0.296918], [-0.305337, -0.348661, -0.173678, -0.318607, 0.219893, 0.217659, -0.166225], [-0.259946, 0.089219, 0.02714, 0.187182, 0.814798, -0.048823, 0.495286], [-0.170761, 0.469334, 0.305435, 0.289543, 0.742526, 0.166162, 0.664869], [-0.172882, 0.341791, -0.329214, 0.170695, 0.225897, 0.356353, 0.658921], [0.341933, -0.153177, 0.198642, 0.303696, -0.371373, -0.145706, 0.026221]], "network.8.bias": [-0.01519, -0.145721, -0.182761, 0.062356, -0.065807, 0.000328, -0.263894], "network.10.weight": [[-0.171947, 0.060159, 0.207721, -0.303945, -0.593903, -0.446531, 0.266189]], "network.10.bias": [0.493178]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7036124467849731, "train_acc": 0.45, "val_loss": 0.6692578196525574, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6828059554100037, "train_acc": 0.55, "val_loss": 0.6157163977622986, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.658831387758255, "train_acc": 0.52, "val_loss": 0.5736320614814758, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5543871819972992, "train_acc": 0.87, "val_loss": 0.37477603554725647, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4327513128519058, "train_acc": 0.865, "val_loss": 0.3193668723106384, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3789083659648895, "train_acc": 0.915, "val_loss": 0.2574319839477539, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3482636660337448, "train_acc": 0.92, "val_loss": 0.2183622568845749, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3173522651195526, "train_acc": 0.935, "val_loss": 0.2783507704734802, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.32489100098609924, "train_acc": 0.905, "val_loss": 0.22300949692726135, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2842716723680496, "train_acc": 0.935, "val_loss": 0.1984506994485855, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.28816649317741394, "train_acc": 0.925, "val_loss": 0.19041505455970764, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.25717607885599136, "train_acc": 0.94, "val_loss": 0.22844943404197693, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6692578196525574, "final_val_loss": 0.6157163977622986, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5736320614814758, "final_val_loss": 0.22844943404197693, "initial_val_acc": 0.86, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
267
|
{"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 0.96, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1862, "learning_rate": 0.05727739496534617, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: 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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],
[
0.177618,
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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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}
## Activation Signature
### 0
fourier: [[16.157926, 17.106104, 17.473191, 17.548593, 18.867509, 19.173543, 19.391350, 20.012484, 21.388821, 88.801309], [14.809014, 15.165666, 15.665708, 16.008637, 16.605723, 17.451079, 17.624804, 18.385825, 19.301669, 31.328981], [28.270382, 28.503779, 31.682266, 31.931315, 39.715649, 43.094589, 44.367030, 44.520799, 49.862615, 194.965775], [28.836689, 29.234580, 31.199462, 31.462006, 31.725442, 39.265642, 47.081870, 47.759440, 48.914180, 50.435844], [35.362535, 36.209892, 37.082883, 40.106252, 44.636977, 46.202556, 52.214273, 53.330163, 55.823408, 215.378881], [19.964906, 19.969614, 21.056092, 23.041931, 26.205806, 29.626458, 29.713885, 29.889793, 30.969894, 86.791012]]
### 2
fourier: [[13.150543, 13.276954, 13.581932, 13.611979, 14.713884, 15.831570, 16.413936, 16.774095, 17.093928, 18.504550], [13.486495, 13.613158, 14.478307, 14.821823, 14.860375, 15.081622, 15.150578, 15.160035, 17.927429, 18.658188], [14.151911, 14.374127, 15.757052, 16.750749, 16.752369, 18.264860, 18.689890, 20.047291, 21.910067, 110.934830], [10.696033, 11.326812, 11.507069, 11.598146, 12.019821, 12.634688, 12.659653, 13.325999, 13.768456, 129.896937], [8.584594, 9.502593, 9.762425, 11.036953, 11.850641, 12.241072, 12.314173, 12.841617, 14.293693, 42.747552], [10.163106, 10.247808, 10.453513, 10.925541, 11.506449, 11.776403, 12.106810, 12.164755, 12.940135, 15.330795]]
### 4
fourier: [[16.886901, 17.744651, 18.108942, 18.145197, 19.564998, 20.249898, 20.395256, 21.946629, 26.623390, 121.163446], [11.650922, 11.775556, 12.014047, 12.179344, 12.636702, 13.100943, 13.254589, 14.015884, 16.192375, 55.234517], [14.532810, 14.871186, 14.990933, 16.086623, 16.816984, 18.019569, 18.400237, 20.871491, 23.435654, 95.853396], [10.194918, 10.344522, 10.610521, 11.080421, 11.505562, 11.588447, 11.857634, 14.207176, 14.836392, 84.444021], [9.634376, 9.748375, 10.387505, 10.819508, 12.577472, 12.696869, 13.371798, 14.227308, 15.680390, 69.529825], [11.751047, 11.859685, 12.203299, 13.164342, 14.565053, 14.909407, 15.298324, 17.201238, 19.215628, 110.723089]]
### 6
fourier: [[38.577530, 39.311936, 41.258497, 42.672857, 43.283681, 50.021280, 50.150551, 50.928197, 59.755005, 286.866523], [26.584791, 27.681483, 29.061815, 29.443188, 31.262952, 35.008816, 35.692135, 36.740118, 43.341743, 163.147407], [6.977861, 7.667159, 7.688431, 8.966314, 9.270793, 9.383639, 9.857446, 10.360702, 10.584585, 17.029095], [12.034721, 12.207224, 12.298608, 12.539398, 12.892409, 14.195575, 14.981884, 15.081221, 17.223101, 111.877997], [25.080543, 26.102615, 26.611493, 26.674492, 27.988357, 32.059537, 32.593890, 33.994428, 40.560343, 205.740783], [42.272715, 43.332342, 45.616232, 46.815216, 48.084333, 55.120217, 55.701057, 56.164673, 66.371897, 338.303510]]
### 8
fourier: [[5.690756, 5.783520, 6.114080, 6.204914, 6.781316, 7.341753, 7.491476, 7.780336, 9.043712, 12.060432], [45.102803, 47.969998, 48.451176, 49.048808, 49.766874, 56.708320, 57.345036, 58.262245, 69.975400, 344.824448], [17.398180, 17.997475, 18.585523, 18.947022, 20.463866, 22.108383, 22.809377, 22.913753, 28.016563, 74.934387], [23.591935, 24.200101, 25.446755, 25.932856, 27.808031, 30.424968, 31.359658, 31.594676, 37.578126, 102.975061], [7.498643, 7.569936, 7.877953, 8.411275, 8.789454, 9.310545, 9.331753, 9.721288, 11.597178, 155.514391], [69.638236, 73.341322, 75.001248, 76.152628, 77.884063, 88.980359, 89.135831, 90.842248, 108.310983, 525.549685]]
### 10
fourier: [[29.106760, 30.882178, 30.954757, 31.385971, 31.549475, 35.513919, 36.139044, 36.864781, 44.726154, 195.404282], [3.398788, 3.654626, 3.739653, 4.049647, 4.237242, 4.414388, 4.737922, 4.893263, 5.049799, 15.797132], [20.804549, 21.791588, 21.887072, 22.620052, 24.277122, 24.735281, 25.604190, 26.811853, 31.757638, 69.562510], [24.728861, 25.826207, 26.448859, 26.970882, 28.938604, 29.334398, 30.113150, 32.447565, 37.208903, 118.429157], [20.856813, 22.394384, 22.653559, 23.034345, 24.555105, 26.540429, 27.229610, 27.625087, 33.212569, 81.292837], [86.636914, 94.082012, 95.627292, 96.393218, 100.866516, 110.890636, 113.146316, 113.417291, 138.562799, 615.266488]]
### 12
fourier: [[72.233388, 75.828532, 80.320452, 82.292333, 84.017779, 90.061495, 91.978657, 92.301034, 116.454737, 458.410142]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[16.157926, 17.106104, 17.473191, 17.548593, 18.867509, 19.173543, 19.391350, 20.012484, 21.388821, 88.801309], [14.809014, 15.165666, 15.665708, 16.008637, 16.605723, 17.451079, 17.624804, 18.385825, 19.301669, 31.328981], [28.270382, 28.503779, 31.682266, 31.931315, 39.715649, 43.094589, 44.367030, 44.520799, 49.862615, 194.965775], [28.836689, 29.234580, 31.199462, 31.462006, 31.725442, 39.265642, 47.081870, 47.759440, 48.914180, 50.435844], [35.362535, 36.209892, 37.082883, 40.106252, 44.636977, 46.202556, 52.214273, 53.330163, 55.823408, 215.378881], [19.964906, 19.969614, 21.056092, 23.041931, 26.205806, 29.626458, 29.713885, 29.889793, 30.969894, 86.791012]]
### 2
fourier: [[13.150543, 13.276954, 13.581932, 13.611979, 14.713884, 15.831570, 16.413936, 16.774095, 17.093928, 18.504550], [13.486495, 13.613158, 14.478307, 14.821823, 14.860375, 15.081622, 15.150578, 15.160035, 17.927429, 18.658188], [14.151911, 14.374127, 15.757052, 16.750749, 16.752369, 18.264860, 18.689890, 20.047291, 21.910067, 110.934830], [10.696033, 11.326812, 11.507069, 11.598146, 12.019821, 12.634688, 12.659653, 13.325999, 13.768456, 129.896937], [8.584594, 9.502593, 9.762425, 11.036953, 11.850641, 12.241072, 12.314173, 12.841617, 14.293693, 42.747552], [10.163106, 10.247808, 10.453513, 10.925541, 11.506449, 11.776403, 12.106810, 12.164755, 12.940135, 15.330795]]
### 4
fourier: [[16.886901, 17.744651, 18.108942, 18.145197, 19.564998, 20.249898, 20.395256, 21.946629, 26.623390, 121.163446], [11.650922, 11.775556, 12.014047, 12.179344, 12.636702, 13.100943, 13.254589, 14.015884, 16.192375, 55.234517], [14.532810, 14.871186, 14.990933, 16.086623, 16.816984, 18.019569, 18.400237, 20.871491, 23.435654, 95.853396], [10.194918, 10.344522, 10.610521, 11.080421, 11.505562, 11.588447, 11.857634, 14.207176, 14.836392, 84.444021], [9.634376, 9.748375, 10.387505, 10.819508, 12.577472, 12.696869, 13.371798, 14.227308, 15.680390, 69.529825], [11.751047, 11.859685, 12.203299, 13.164342, 14.565053, 14.909407, 15.298324, 17.201238, 19.215628, 110.723089]]
### 6
fourier: [[38.577530, 39.311936, 41.258497, 42.672857, 43.283681, 50.021280, 50.150551, 50.928197, 59.755005, 286.866523], [26.584791, 27.681483, 29.061815, 29.443188, 31.262952, 35.008816, 35.692135, 36.740118, 43.341743, 163.147407], [6.977861, 7.667159, 7.688431, 8.966314, 9.270793, 9.383639, 9.857446, 10.360702, 10.584585, 17.029095], [12.034721, 12.207224, 12.298608, 12.539398, 12.892409, 14.195575, 14.981884, 15.081221, 17.223101, 111.877997], [25.080543, 26.102615, 26.611493, 26.674492, 27.988357, 32.059537, 32.593890, 33.994428, 40.560343, 205.740783], [42.272715, 43.332342, 45.616232, 46.815216, 48.084333, 55.120217, 55.701057, 56.164673, 66.371897, 338.303510]]
### 8
fourier: [[5.690756, 5.783520, 6.114080, 6.204914, 6.781316, 7.341753, 7.491476, 7.780336, 9.043712, 12.060432], [45.102803, 47.969998, 48.451176, 49.048808, 49.766874, 56.708320, 57.345036, 58.262245, 69.975400, 344.824448], [17.398180, 17.997475, 18.585523, 18.947022, 20.463866, 22.108383, 22.809377, 22.913753, 28.016563, 74.934387], [23.591935, 24.200101, 25.446755, 25.932856, 27.808031, 30.424968, 31.359658, 31.594676, 37.578126, 102.975061], [7.498643, 7.569936, 7.877953, 8.411275, 8.789454, 9.310545, 9.331753, 9.721288, 11.597178, 155.514391], [69.638236, 73.341322, 75.001248, 76.152628, 77.884063, 88.980359, 89.135831, 90.842248, 108.310983, 525.549685]]
### 10
fourier: [[29.106760, 30.882178, 30.954757, 31.385971, 31.549475, 35.513919, 36.139044, 36.864781, 44.726154, 195.404282], [3.398788, 3.654626, 3.739653, 4.049647, 4.237242, 4.414388, 4.737922, 4.893263, 5.049799, 15.797132], [20.804549, 21.791588, 21.887072, 22.620052, 24.277122, 24.735281, 25.604190, 26.811853, 31.757638, 69.562510], [24.728861, 25.826207, 26.448859, 26.970882, 28.938604, 29.334398, 30.113150, 32.447565, 37.208903, 118.429157], [20.856813, 22.394384, 22.653559, 23.034345, 24.555105, 26.540429, 27.229610, 27.625087, 33.212569, 81.292837], [86.636914, 94.082012, 95.627292, 96.393218, 100.866516, 110.890636, 113.146316, 113.417291, 138.562799, 615.266488]]
### 12
fourier: [[72.233388, 75.828532, 80.320452, 82.292333, 84.017779, 90.061495, 91.978657, 92.301034, 116.454737, 458.410142]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.177746, 0.118824, 0.415264, 0.179245, -0.436912], [0.015695, 0.638497, -0.387416, -0.316747, 0.290333], [-0.665442, -0.179717, -0.3224, 0.209544, -0.663195], [-0.501576, 0.795534, -0.57708, 0.231999, -0.564003], [0.177618, -0.984243, 0.324237, -0.849255, 0.161132], [-0.86453, 0.120654, 0.161116, -0.245016, 0.289159]], "network.0.bias": [-0.163999, -0.217124, 0.031346, 0.721606, 0.124531, -0.276102], "network.2.weight": [[0.114911, 0.161373, 0.227918, -0.607898, -0.922091, 0.357362], [0.42074, -0.038545, 0.316905, -0.648208, -0.615682, 0.519351], [-0.04302, 0.33805, -0.464432, 0.694299, 0.537727, -0.395181], [0.752664, -0.365365, -0.010837, 0.260195, 0.14152, 0.602986], [0.378716, -0.447879, 0.094525, 0.366438, 0.079011, -0.593336], [0.52857, -0.18389, 0.04926, 0.166229, -0.239806, -1.03538]], "network.2.bias": [0.597468, 0.089969, 0.507489, 0.475981, -0.063131, -0.374675], "network.4.weight": [[0.65434, 0.492475, -0.706372, 1.076598, 0.269025, -0.32356], [0.322643, 0.679991, -0.552355, 0.224242, 0.25568, -0.192251], [0.420989, 0.562863, -0.606111, 0.793259, 0.259524, 0.12811], [-0.185877, 0.026585, 0.306513, -0.630452, -0.1894, -0.444872], [-0.403263, -0.028704, 0.337453, -0.344906, -0.900648, -0.389378], [0.552298, 0.363933, -0.392279, 0.497209, 0.116034, 0.621543]], "network.4.bias": [0.318719, 0.595281, 0.248942, -0.171037, -0.021057, 0.507768], "network.6.weight": [[0.790796, 0.921486, 0.660731, -0.018815, -0.35796, 0.790521], [-0.474807, -0.3535, -0.399589, 0.017096, 0.119478, -0.957196], [-0.044842, 0.429669, -0.025862, -0.596828, -0.515296, 0.396215], [0.345446, 0.320424, 0.425044, -0.110333, -0.007555, -0.2075], [-0.249871, -0.331893, -0.679049, -0.394414, -0.373494, -0.781394], [0.868805, 0.908405, 0.664035, -0.341605, -0.149619, 1.041422]], "network.6.bias": [-0.09015, 0.578138, -0.540461, 0.35379, -0.188039, 0.077056], "network.8.weight": [[0.035743, 0.180986, 0.024231, 0.037967, -0.07268, -0.17593], [0.284924, -0.102825, 0.046043, 0.28514, 0.368168, 0.694417], [-0.051396, 0.147759, -0.395144, 0.713329, -0.295729, -0.506368], [-0.545119, 0.600776, -0.230299, 0.465057, 0.108131, -0.159341], [0.309741, -0.414468, 0.626046, -0.473829, 0.516823, -0.411948], [0.760691, -0.740515, 0.093878, 0.553273, 0.18238, 0.753289]], "network.8.bias": [0.346522, 0.015202, 0.475714, 0.682758, -0.723122, -0.005258], "network.10.weight": [[-0.569608, -0.516291, 0.168616, -0.014609, 0.189683, -0.086777], [-0.019646, -0.456969, 0.249249, 0.436472, -0.293115, 0.286666], [0.048294, 0.009853, 0.741952, 0.257982, -0.907749, -0.261347], [-0.005625, 0.209704, -0.514658, -0.827996, -0.184561, 0.165399], [-0.209786, -0.115199, 0.098112, 0.404441, -0.062194, -0.21811], [-0.071808, 0.599016, -0.831699, -0.664977, 0.218102, 0.83474]], "network.10.bias": [0.31686, 0.103912, 0.526466, -0.263415, 0.726345, -0.115033], "network.12.weight": [[0.18552, 0.129947, 0.399777, -0.101765, 0.450325, -0.789674]], "network.12.bias": [0.426136]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885011792182922, "train_acc": 0.55, "val_loss": 0.6864242553710938, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6896592974662781, "train_acc": 0.55, "val_loss": 0.6757535338401794, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6902672350406647, "train_acc": 0.55, "val_loss": 0.670585036277771, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6790560483932495, "train_acc": 0.55, "val_loss": 0.6348881125450134, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6237549483776093, "train_acc": 0.475, "val_loss": 0.45722725987434387, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.46821869909763336, "train_acc": 0.86, "val_loss": 0.2558479607105255, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.30310477316379547, "train_acc": 0.875, "val_loss": 0.24783283472061157, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.31951551139354706, "train_acc": 0.91, "val_loss": 0.24688652157783508, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.37407632172107697, "train_acc": 0.865, "val_loss": 0.212067112326622, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.23537644743919373, "train_acc": 0.925, "val_loss": 0.2847348153591156, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2727387845516205, "train_acc": 0.905, "val_loss": 0.2204180210828781, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.23405401408672333, "train_acc": 0.925, "val_loss": 0.17882885038852692, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.20857960730791092, "train_acc": 0.935, "val_loss": 0.15457695722579956, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.20155533403158188, "train_acc": 0.95, "val_loss": 0.19159309566020966, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6864242553710938, "final_val_loss": 0.6348881125450134, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.45722725987434387, "final_val_loss": 0.19159309566020966, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.36, "first_improvement_epoch": 3}}
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268
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8468, "learning_rate": 0.034113531585126436, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[11.742591, 12.937116, 13.137983, 13.756162, 14.022076, 14.199227, 16.809198, 17.345937, 17.720848, 100.572430], [16.429590, 17.486143, 17.625101, 17.888523, 18.368047, 19.668584, 20.530552, 24.631843, 26.754716, 136.743842], [23.149606, 24.016357, 24.101519, 25.080066, 26.021557, 27.280876, 27.571854, 32.878192, 33.461560, 163.706374], [12.074437, 12.986959, 14.467874, 15.655242, 16.250015, 17.824583, 18.614478, 20.030570, 21.579925, 38.203389], [25.443501, 26.716169, 27.260594, 28.461157, 29.009665, 29.669609, 31.905655, 34.666197, 39.721409, 172.860016], [14.297131, 14.541617, 15.622410, 16.832101, 20.546187, 20.961077, 20.997745, 23.324515, 23.810305, 24.822007], [26.209943, 27.156042, 27.207513, 27.549856, 28.395418, 30.731326, 30.923301, 30.992913, 31.466824, 110.896869], [16.485844, 16.661680, 18.079612, 18.299362, 18.748165, 19.165166, 19.966616, 22.645848, 24.012431, 63.201387]]
### 2
fourier: [[22.073331, 23.304995, 23.861119, 24.288860, 25.480186, 27.393523, 27.524586, 28.531503, 30.366501, 159.677956], [34.340007, 37.790566, 38.756802, 39.810105, 41.583162, 42.880418, 44.192638, 46.432378, 47.474518, 213.822529], [25.609449, 25.632212, 26.668331, 27.749222, 28.480102, 30.553281, 31.358211, 33.851713, 34.617802, 160.365660], [22.512282, 23.203354, 23.319059, 24.512702, 24.826646, 27.299483, 28.097753, 28.943180, 31.489508, 162.166712], [31.909475, 33.163653, 35.601611, 37.408871, 37.488795, 39.352076, 41.456513, 42.905617, 47.309947, 226.733081], [34.724683, 36.798768, 38.434019, 40.465484, 42.545946, 44.040420, 46.229495, 47.471438, 48.880152, 232.770494], [5.668306, 5.830056, 6.064161, 6.345444, 6.414684, 6.604104, 6.626298, 6.944275, 7.207039, 11.902814], [12.290105, 12.392359, 12.905554, 13.263483, 14.407426, 14.931080, 16.271520, 16.766811, 20.577897, 132.575347]]
### 4
fourier: [[17.206213, 17.403663, 17.782943, 18.079586, 19.500214, 20.308914, 21.121354, 21.913941, 23.823048, 113.516532], [61.124918, 66.587375, 70.694447, 71.312145, 75.889238, 76.494441, 81.443069, 82.339638, 88.719944, 421.491420], [74.861860, 81.130121, 86.882607, 87.837803, 92.134877, 93.320999, 99.702678, 101.766996, 109.828460, 539.926995], [48.081135, 48.820792, 53.500152, 55.646151, 56.283715, 57.131147, 61.653850, 65.131058, 70.136472, 330.913259], [14.410152, 15.249579, 15.604406, 16.749704, 17.074422, 17.929341, 18.833540, 19.334587, 20.254775, 118.006488], [45.777284, 46.939345, 52.939176, 53.475728, 53.551225, 55.800249, 59.483962, 61.281030, 65.891798, 296.104619], [10.767103, 11.930947, 12.238389, 12.711822, 13.068944, 13.567106, 13.698987, 14.227203, 14.505138, 72.394751], [16.167398, 16.519271, 18.069290, 18.212843, 18.512830, 19.965307, 20.199382, 21.037912, 21.723960, 105.369904]]
### 6
fourier: [[37.510633, 39.636504, 43.139928, 43.636119, 45.401576, 46.592847, 49.123261, 50.223035, 53.840336, 265.121250], [17.827866, 18.755785, 19.154298, 19.659951, 21.508924, 22.045594, 22.122552, 22.581578, 23.995624, 89.259535], [75.325366, 78.893065, 87.189076, 88.611058, 90.579604, 92.842339, 99.298596, 102.900912, 110.613734, 511.817504], [8.168268, 8.301522, 9.179574, 9.285188, 9.469344, 9.780635, 10.440355, 10.610639, 11.389186, 26.701770], [52.851834, 56.689911, 61.611371, 62.739185, 65.274761, 65.610136, 71.150834, 72.984889, 78.810492, 405.029172], [94.323560, 100.878770, 110.040664, 110.617158, 115.860416, 117.806611, 125.294702, 128.583955, 138.533815, 631.108605], [54.710854, 58.773374, 63.670321, 63.903683, 67.718066, 67.898227, 73.337738, 74.181127, 80.271938, 415.555592], [101.616177, 108.512531, 118.653517, 120.383809, 125.059751, 126.504590, 136.191953, 139.841806, 150.854205, 705.869625]]
### 8
fourier: [[56.781858, 60.372698, 66.441792, 66.797127, 70.230191, 70.870162, 75.882699, 77.806193, 84.008562, 374.337619], [156.020985, 166.013045, 182.598176, 183.926276, 192.671850, 194.770691, 208.481686, 214.537853, 231.591171, 1095.729631], [1.172119, 1.177598, 1.394313, 1.533169, 1.713373, 1.737188, 1.858671, 1.888085, 2.288492, 18.295607], [67.732788, 70.688995, 77.724362, 79.889334, 82.084718, 82.556742, 90.377426, 92.956573, 100.958624, 504.603770], [107.389778, 113.964535, 125.254163, 126.680606, 132.155456, 133.600021, 143.300289, 147.527431, 159.281761, 727.080263], [9.147434, 9.763143, 10.166750, 10.507821, 11.129458, 11.573642, 11.593506, 11.784485, 12.746939, 22.734707], [11.631372, 12.033509, 13.359096, 13.648454, 14.080713, 14.096039, 15.438076, 15.868184, 17.243119, 91.545889], [25.675414, 25.694983, 28.932025, 29.933303, 30.142739, 30.182273, 33.590785, 35.086703, 37.913729, 214.170607]]
### 10
fourier: [[3.954754, 3.969445, 4.027225, 4.106269, 4.152463, 4.409093, 4.907572, 4.946498, 5.681340, 28.941384], [34.752824, 36.455169, 40.219861, 40.827992, 42.712678, 42.777391, 46.212011, 47.661023, 51.769766, 245.540656], [6.420459, 6.683316, 6.744271, 7.158922, 7.321924, 7.884658, 8.459783, 8.815023, 10.167348, 55.161029], [10.139323, 10.423126, 11.269333, 11.488180, 11.678445, 12.118350, 13.165064, 13.666976, 15.073061, 52.844026], [74.348087, 78.651902, 86.599364, 87.384999, 91.496284, 92.584913, 98.884666, 101.307909, 109.603755, 535.415279], [140.983100, 148.932717, 164.359188, 165.706378, 173.940570, 174.849183, 187.929826, 193.630788, 209.612999, 953.515970], [47.506553, 49.976892, 55.454196, 55.472236, 58.112892, 59.378834, 62.753283, 64.931208, 69.550185, 329.480550], [24.406631, 25.235239, 28.033083, 28.570673, 29.524898, 30.119630, 32.413896, 33.694441, 36.757558, 151.924195]]
### 12
fourier: [[63.856291, 67.177542, 74.175414, 74.979966, 78.709376, 79.108148, 85.128536, 87.597322, 95.287639, 426.681429]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[11.742591, 12.937116, 13.137983, 13.756162, 14.022076, 14.199227, 16.809198, 17.345937, 17.720848, 100.572430], [16.429590, 17.486143, 17.625101, 17.888523, 18.368047, 19.668584, 20.530552, 24.631843, 26.754716, 136.743842], [23.149606, 24.016357, 24.101519, 25.080066, 26.021557, 27.280876, 27.571854, 32.878192, 33.461560, 163.706374], [12.074437, 12.986959, 14.467874, 15.655242, 16.250015, 17.824583, 18.614478, 20.030570, 21.579925, 38.203389], [25.443501, 26.716169, 27.260594, 28.461157, 29.009665, 29.669609, 31.905655, 34.666197, 39.721409, 172.860016], [14.297131, 14.541617, 15.622410, 16.832101, 20.546187, 20.961077, 20.997745, 23.324515, 23.810305, 24.822007], [26.209943, 27.156042, 27.207513, 27.549856, 28.395418, 30.731326, 30.923301, 30.992913, 31.466824, 110.896869], [16.485844, 16.661680, 18.079612, 18.299362, 18.748165, 19.165166, 19.966616, 22.645848, 24.012431, 63.201387]]
### 2
fourier: [[22.073331, 23.304995, 23.861119, 24.288860, 25.480186, 27.393523, 27.524586, 28.531503, 30.366501, 159.677956], [34.340007, 37.790566, 38.756802, 39.810105, 41.583162, 42.880418, 44.192638, 46.432378, 47.474518, 213.822529], [25.609449, 25.632212, 26.668331, 27.749222, 28.480102, 30.553281, 31.358211, 33.851713, 34.617802, 160.365660], [22.512282, 23.203354, 23.319059, 24.512702, 24.826646, 27.299483, 28.097753, 28.943180, 31.489508, 162.166712], [31.909475, 33.163653, 35.601611, 37.408871, 37.488795, 39.352076, 41.456513, 42.905617, 47.309947, 226.733081], [34.724683, 36.798768, 38.434019, 40.465484, 42.545946, 44.040420, 46.229495, 47.471438, 48.880152, 232.770494], [5.668306, 5.830056, 6.064161, 6.345444, 6.414684, 6.604104, 6.626298, 6.944275, 7.207039, 11.902814], [12.290105, 12.392359, 12.905554, 13.263483, 14.407426, 14.931080, 16.271520, 16.766811, 20.577897, 132.575347]]
### 4
fourier: [[17.206213, 17.403663, 17.782943, 18.079586, 19.500214, 20.308914, 21.121354, 21.913941, 23.823048, 113.516532], [61.124918, 66.587375, 70.694447, 71.312145, 75.889238, 76.494441, 81.443069, 82.339638, 88.719944, 421.491420], [74.861860, 81.130121, 86.882607, 87.837803, 92.134877, 93.320999, 99.702678, 101.766996, 109.828460, 539.926995], [48.081135, 48.820792, 53.500152, 55.646151, 56.283715, 57.131147, 61.653850, 65.131058, 70.136472, 330.913259], [14.410152, 15.249579, 15.604406, 16.749704, 17.074422, 17.929341, 18.833540, 19.334587, 20.254775, 118.006488], [45.777284, 46.939345, 52.939176, 53.475728, 53.551225, 55.800249, 59.483962, 61.281030, 65.891798, 296.104619], [10.767103, 11.930947, 12.238389, 12.711822, 13.068944, 13.567106, 13.698987, 14.227203, 14.505138, 72.394751], [16.167398, 16.519271, 18.069290, 18.212843, 18.512830, 19.965307, 20.199382, 21.037912, 21.723960, 105.369904]]
### 6
fourier: [[37.510633, 39.636504, 43.139928, 43.636119, 45.401576, 46.592847, 49.123261, 50.223035, 53.840336, 265.121250], [17.827866, 18.755785, 19.154298, 19.659951, 21.508924, 22.045594, 22.122552, 22.581578, 23.995624, 89.259535], [75.325366, 78.893065, 87.189076, 88.611058, 90.579604, 92.842339, 99.298596, 102.900912, 110.613734, 511.817504], [8.168268, 8.301522, 9.179574, 9.285188, 9.469344, 9.780635, 10.440355, 10.610639, 11.389186, 26.701770], [52.851834, 56.689911, 61.611371, 62.739185, 65.274761, 65.610136, 71.150834, 72.984889, 78.810492, 405.029172], [94.323560, 100.878770, 110.040664, 110.617158, 115.860416, 117.806611, 125.294702, 128.583955, 138.533815, 631.108605], [54.710854, 58.773374, 63.670321, 63.903683, 67.718066, 67.898227, 73.337738, 74.181127, 80.271938, 415.555592], [101.616177, 108.512531, 118.653517, 120.383809, 125.059751, 126.504590, 136.191953, 139.841806, 150.854205, 705.869625]]
### 8
fourier: [[56.781858, 60.372698, 66.441792, 66.797127, 70.230191, 70.870162, 75.882699, 77.806193, 84.008562, 374.337619], [156.020985, 166.013045, 182.598176, 183.926276, 192.671850, 194.770691, 208.481686, 214.537853, 231.591171, 1095.729631], [1.172119, 1.177598, 1.394313, 1.533169, 1.713373, 1.737188, 1.858671, 1.888085, 2.288492, 18.295607], [67.732788, 70.688995, 77.724362, 79.889334, 82.084718, 82.556742, 90.377426, 92.956573, 100.958624, 504.603770], [107.389778, 113.964535, 125.254163, 126.680606, 132.155456, 133.600021, 143.300289, 147.527431, 159.281761, 727.080263], [9.147434, 9.763143, 10.166750, 10.507821, 11.129458, 11.573642, 11.593506, 11.784485, 12.746939, 22.734707], [11.631372, 12.033509, 13.359096, 13.648454, 14.080713, 14.096039, 15.438076, 15.868184, 17.243119, 91.545889], [25.675414, 25.694983, 28.932025, 29.933303, 30.142739, 30.182273, 33.590785, 35.086703, 37.913729, 214.170607]]
### 10
fourier: [[3.954754, 3.969445, 4.027225, 4.106269, 4.152463, 4.409093, 4.907572, 4.946498, 5.681340, 28.941384], [34.752824, 36.455169, 40.219861, 40.827992, 42.712678, 42.777391, 46.212011, 47.661023, 51.769766, 245.540656], [6.420459, 6.683316, 6.744271, 7.158922, 7.321924, 7.884658, 8.459783, 8.815023, 10.167348, 55.161029], [10.139323, 10.423126, 11.269333, 11.488180, 11.678445, 12.118350, 13.165064, 13.666976, 15.073061, 52.844026], [74.348087, 78.651902, 86.599364, 87.384999, 91.496284, 92.584913, 98.884666, 101.307909, 109.603755, 535.415279], [140.983100, 148.932717, 164.359188, 165.706378, 173.940570, 174.849183, 187.929826, 193.630788, 209.612999, 953.515970], [47.506553, 49.976892, 55.454196, 55.472236, 58.112892, 59.378834, 62.753283, 64.931208, 69.550185, 329.480550], [24.406631, 25.235239, 28.033083, 28.570673, 29.524898, 30.119630, 32.413896, 33.694441, 36.757558, 151.924195]]
### 12
fourier: [[63.856291, 67.177542, 74.175414, 74.979966, 78.709376, 79.108148, 85.128536, 87.597322, 95.287639, 426.681429]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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269
|
{"target_pattern": "ends_with", "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1020, "learning_rate": 0.07946889600116225, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[14.744013, 15.183446, 15.185851, 15.356542, 16.222228, 18.158000, 18.462028, 18.726185, 19.580168, 135.023791], [18.732461, 19.174704, 20.876323, 21.976523, 24.373488, 24.582740, 28.645413, 30.833992, 33.225029, 34.391085], [18.117312, 18.551826, 18.694731, 20.160680, 23.264483, 27.674422, 28.316193, 30.232366, 32.811977, 119.773597], [19.322487, 21.657062, 23.851766, 25.223910, 25.225321, 28.661411, 29.944810, 32.156447, 35.244200, 172.246095], [14.922915, 15.022386, 15.911232, 15.923640, 17.173320, 18.767384, 20.289524, 20.648243, 21.271180, 63.992878]]
### 2
fourier: [[5.818696, 6.259255, 6.948100, 7.168308, 7.441212, 8.360212, 9.023936, 10.103099, 11.681247, 15.825878], [22.485535, 22.555479, 24.937196, 27.048093, 27.971223, 28.083186, 31.084206, 39.355976, 43.505932, 144.789704], [5.604180, 5.791372, 6.244883, 6.737510, 9.312385, 9.390677, 10.742386, 10.798082, 10.929630, 73.255696], [16.226670, 16.272362, 16.402831, 17.280030, 23.821388, 25.100516, 28.133898, 28.311828, 30.146905, 152.773393], [13.374732, 13.383294, 13.836221, 14.005998, 16.079986, 19.060686, 20.028551, 20.159846, 22.283982, 115.618285]]
### 4
fourier: [[10.881171, 11.302536, 12.050904, 13.608318, 13.989652, 14.703526, 15.268841, 19.419845, 21.742894, 63.341691], [11.562340, 11.870465, 13.193195, 14.825202, 14.839692, 15.143681, 16.333746, 20.538867, 22.362934, 23.975325], [16.932178, 17.121961, 19.037257, 21.461877, 21.562647, 22.219323, 23.787955, 29.897654, 34.537706, 111.477749], [5.304568, 5.670482, 5.762431, 6.453169, 6.839958, 7.438450, 7.446030, 7.449922, 9.524790, 10.144469], [5.430319, 5.506893, 6.144789, 6.346464, 6.543574, 6.866750, 7.329220, 9.036838, 11.293170, 34.527291]]
### 6
fourier: [[1.845772, 1.928119, 1.949614, 2.019456, 2.024035, 2.066374, 2.203422, 2.645080, 3.836877, 45.398783], [17.341828, 18.292866, 19.306716, 22.296878, 22.794820, 23.351787, 24.496468, 32.094036, 35.246407, 101.943586], [16.361465, 16.471891, 17.909971, 20.026965, 20.742961, 21.799501, 22.439499, 29.174232, 32.605525, 115.799958], [3.782245, 4.059180, 4.487373, 4.806506, 5.206332, 5.295763, 5.376520, 6.988580, 7.423385, 30.208881], [1.349421, 1.410358, 1.573114, 1.629612, 1.643213, 1.770920, 1.900932, 2.252278, 2.832887, 17.244934]]
### 8
fourier: [[16.234624, 16.450882, 17.806550, 19.605074, 20.517595, 21.738261, 21.838078, 29.218566, 32.745659, 83.788072]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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],
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],
[
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[
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]
}
## Activation Signature
### 0
fourier: [[14.744013, 15.183446, 15.185851, 15.356542, 16.222228, 18.158000, 18.462028, 18.726185, 19.580168, 135.023791], [18.732461, 19.174704, 20.876323, 21.976523, 24.373488, 24.582740, 28.645413, 30.833992, 33.225029, 34.391085], [18.117312, 18.551826, 18.694731, 20.160680, 23.264483, 27.674422, 28.316193, 30.232366, 32.811977, 119.773597], [19.322487, 21.657062, 23.851766, 25.223910, 25.225321, 28.661411, 29.944810, 32.156447, 35.244200, 172.246095], [14.922915, 15.022386, 15.911232, 15.923640, 17.173320, 18.767384, 20.289524, 20.648243, 21.271180, 63.992878]]
### 2
fourier: [[5.818696, 6.259255, 6.948100, 7.168308, 7.441212, 8.360212, 9.023936, 10.103099, 11.681247, 15.825878], [22.485535, 22.555479, 24.937196, 27.048093, 27.971223, 28.083186, 31.084206, 39.355976, 43.505932, 144.789704], [5.604180, 5.791372, 6.244883, 6.737510, 9.312385, 9.390677, 10.742386, 10.798082, 10.929630, 73.255696], [16.226670, 16.272362, 16.402831, 17.280030, 23.821388, 25.100516, 28.133898, 28.311828, 30.146905, 152.773393], [13.374732, 13.383294, 13.836221, 14.005998, 16.079986, 19.060686, 20.028551, 20.159846, 22.283982, 115.618285]]
### 4
fourier: [[10.881171, 11.302536, 12.050904, 13.608318, 13.989652, 14.703526, 15.268841, 19.419845, 21.742894, 63.341691], [11.562340, 11.870465, 13.193195, 14.825202, 14.839692, 15.143681, 16.333746, 20.538867, 22.362934, 23.975325], [16.932178, 17.121961, 19.037257, 21.461877, 21.562647, 22.219323, 23.787955, 29.897654, 34.537706, 111.477749], [5.304568, 5.670482, 5.762431, 6.453169, 6.839958, 7.438450, 7.446030, 7.449922, 9.524790, 10.144469], [5.430319, 5.506893, 6.144789, 6.346464, 6.543574, 6.866750, 7.329220, 9.036838, 11.293170, 34.527291]]
### 6
fourier: [[1.845772, 1.928119, 1.949614, 2.019456, 2.024035, 2.066374, 2.203422, 2.645080, 3.836877, 45.398783], [17.341828, 18.292866, 19.306716, 22.296878, 22.794820, 23.351787, 24.496468, 32.094036, 35.246407, 101.943586], [16.361465, 16.471891, 17.909971, 20.026965, 20.742961, 21.799501, 22.439499, 29.174232, 32.605525, 115.799958], [3.782245, 4.059180, 4.487373, 4.806506, 5.206332, 5.295763, 5.376520, 6.988580, 7.423385, 30.208881], [1.349421, 1.410358, 1.573114, 1.629612, 1.643213, 1.770920, 1.900932, 2.252278, 2.832887, 17.244934]]
### 8
fourier: [[16.234624, 16.450882, 17.806550, 19.605074, 20.517595, 21.738261, 21.838078, 29.218566, 32.745659, 83.788072]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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29.21856581927502, 32.74565918723682, 83.78807206451893]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.262152, 0.12713, 0.0865, -0.422359, -0.267356], [-0.130338, 0.112809, 0.42696, 0.066058, -0.851785], [0.415363, 0.145434, 0.041585, -0.062343, 0.550183], [0.114002, -0.014287, 0.326931, -0.012092, 0.713623], [0.319849, 0.276651, 0.176323, 0.017228, -0.308509]], "network.0.bias": [-0.350913, 0.342806, -0.082826, 0.260883, -0.215893], "network.2.weight": [[-0.239678, -0.267295, 0.170348, 0.068329, -0.166669], [-0.074499, -0.669454, 0.48986, 0.558137, -0.100149], [-0.095689, -0.130399, -0.349921, -0.055792, 0.076945], [0.16021, 0.143984, -0.330076, -0.491845, -0.361019], [-0.486419, -0.188794, -0.325402, -0.283497, -0.344536]], "network.2.bias": [0.193462, 0.548185, -0.183616, -0.126691, 0.165377], "network.4.weight": [[-0.175179, 0.543933, 0.009762, 0.035606, -0.129592], [-0.324299, -0.484037, 0.176631, 0.346829, 0.268248], [0.252163, 0.745563, 0.155646, 0.164666, 0.242307], [-0.377322, 0.319945, -0.385248, 0.282771, 0.446153], [0.532301, 0.143006, -0.264443, -0.458656, -0.19904]], "network.4.bias": [-0.141664, 0.647747, -0.069302, -0.333603, -0.01197], "network.6.weight": [[0.197398, -0.269715, -0.236177, -0.360365, 0.203901], [0.257787, -0.470804, 0.749856, -0.023482, 0.235216], [0.590874, -0.281983, 0.516385, 0.198898, -0.034055], [0.295149, 0.294413, -0.438896, 0.358946, -0.029932], [0.031791, -0.047825, -0.11407, -0.042599, 0.05517]], "network.6.bias": [-0.281756, 0.041981, 0.247118, -0.14949, -0.071244], "network.8.weight": [[0.2866, -0.642661, -0.328704, -0.395628, -0.319963]], "network.8.bias": [0.272053]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6864587962627411, "train_acc": 0.445, "val_loss": 0.690600574016571, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.584899365901947, "train_acc": 0.575, "val_loss": 0.555779218673706, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6851149797439575, "train_acc": 0.52, "val_loss": 0.4422847032546997, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4348699152469635, "train_acc": 0.895, "val_loss": 0.5028525590896606, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.49398815631866455, "train_acc": 0.785, "val_loss": 0.5082646012306213, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.48844604194164276, "train_acc": 0.785, "val_loss": 0.4832828640937805, "val_acc": 0.78}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.690600574016571, "final_val_loss": 0.555779218673706, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.4422847032546997, "final_val_loss": 0.4832828640937805, "initial_val_acc": 0.94, "final_val_acc": 0.78, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
270
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 1.0, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7410, "learning_rate": 0.061312236915683875, "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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}
## Activation Signature
### 0
fourier: [[37.644385, 38.605460, 38.705195, 40.474475, 42.754813, 42.766740, 43.350477, 44.487984, 45.854561, 104.819814], [28.156564, 28.831671, 31.287539, 34.184170, 39.359507, 39.578921, 40.702039, 51.821787, 55.530442, 112.668575], [20.038743, 20.249817, 20.454454, 21.779031, 22.691655, 23.141614, 24.267451, 25.939104, 28.129319, 36.919205], [28.497055, 29.671204, 34.013544, 34.301866, 34.476615, 34.529219, 34.644359, 45.462111, 55.619921, 152.003947], [30.549396, 31.365424, 34.078819, 34.352110, 38.022015, 38.035998, 39.927144, 40.960423, 44.413050, 66.116037]]
### 2
fourier: [[27.620051, 29.054040, 33.756149, 36.623748, 37.330906, 42.244804, 42.625107, 42.681021, 50.348651, 151.633869], [46.735667, 47.567204, 48.641856, 48.722988, 56.864331, 60.620623, 65.891035, 69.258994, 87.445918, 338.871228], [60.331033, 62.565835, 67.046735, 68.729640, 70.316101, 71.151392, 77.987806, 94.946058, 119.297289, 311.610557], [70.397965, 70.762034, 76.467618, 77.689948, 78.331453, 80.829071, 89.744090, 106.926824, 134.568573, 416.144078], [21.823399, 22.052185, 26.149504, 29.236319, 30.888958, 31.754903, 33.140768, 35.913918, 36.909688, 133.283902]]
### 4
fourier: [[21.631087, 22.619021, 23.002987, 23.064581, 23.387537, 25.450677, 27.487611, 32.383263, 41.152964, 170.137674], [16.298457, 17.299945, 18.951853, 19.101766, 20.099404, 20.210458, 21.429255, 26.900482, 33.313872, 49.769669], [5.440919, 5.746743, 5.868503, 5.894766, 6.236405, 6.870200, 7.873510, 7.998071, 9.619560, 64.667212], [117.228070, 119.583232, 129.107809, 131.354875, 132.470732, 136.640389, 150.947976, 181.603111, 227.778701, 646.456445], [82.267535, 83.106338, 90.772015, 93.210056, 93.716106, 95.118643, 105.199159, 127.730852, 160.162702, 482.011549]]
### 6
fourier: [[42.305653, 42.329429, 47.166591, 47.832568, 48.542711, 49.247730, 55.380894, 67.670464, 81.981635, 149.779877], [115.729371, 117.495102, 128.487783, 129.629075, 131.443377, 135.585719, 150.941089, 182.967253, 224.440276, 539.399167], [110.585937, 114.995857, 121.809178, 122.041771, 123.033640, 131.143669, 143.515247, 171.259607, 214.648520, 717.207966], [196.306966, 201.405321, 217.240500, 218.560401, 221.151861, 231.217087, 255.273795, 307.684088, 381.047544, 1076.283597], [200.196991, 206.006909, 221.251103, 222.351670, 224.595153, 236.221051, 260.296368, 312.748096, 388.590124, 1085.179032]]
### 8
fourier: [[413.876904, 425.784471, 456.926904, 460.385265, 467.499975, 490.488847, 540.402210, 654.439417, 801.639223, 2128.109645]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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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
fourier: [[37.644385, 38.605460, 38.705195, 40.474475, 42.754813, 42.766740, 43.350477, 44.487984, 45.854561, 104.819814], [28.156564, 28.831671, 31.287539, 34.184170, 39.359507, 39.578921, 40.702039, 51.821787, 55.530442, 112.668575], [20.038743, 20.249817, 20.454454, 21.779031, 22.691655, 23.141614, 24.267451, 25.939104, 28.129319, 36.919205], [28.497055, 29.671204, 34.013544, 34.301866, 34.476615, 34.529219, 34.644359, 45.462111, 55.619921, 152.003947], [30.549396, 31.365424, 34.078819, 34.352110, 38.022015, 38.035998, 39.927144, 40.960423, 44.413050, 66.116037]]
### 2
fourier: [[27.620051, 29.054040, 33.756149, 36.623748, 37.330906, 42.244804, 42.625107, 42.681021, 50.348651, 151.633869], [46.735667, 47.567204, 48.641856, 48.722988, 56.864331, 60.620623, 65.891035, 69.258994, 87.445918, 338.871228], [60.331033, 62.565835, 67.046735, 68.729640, 70.316101, 71.151392, 77.987806, 94.946058, 119.297289, 311.610557], [70.397965, 70.762034, 76.467618, 77.689948, 78.331453, 80.829071, 89.744090, 106.926824, 134.568573, 416.144078], [21.823399, 22.052185, 26.149504, 29.236319, 30.888958, 31.754903, 33.140768, 35.913918, 36.909688, 133.283902]]
### 4
fourier: [[21.631087, 22.619021, 23.002987, 23.064581, 23.387537, 25.450677, 27.487611, 32.383263, 41.152964, 170.137674], [16.298457, 17.299945, 18.951853, 19.101766, 20.099404, 20.210458, 21.429255, 26.900482, 33.313872, 49.769669], [5.440919, 5.746743, 5.868503, 5.894766, 6.236405, 6.870200, 7.873510, 7.998071, 9.619560, 64.667212], [117.228070, 119.583232, 129.107809, 131.354875, 132.470732, 136.640389, 150.947976, 181.603111, 227.778701, 646.456445], [82.267535, 83.106338, 90.772015, 93.210056, 93.716106, 95.118643, 105.199159, 127.730852, 160.162702, 482.011549]]
### 6
fourier: [[42.305653, 42.329429, 47.166591, 47.832568, 48.542711, 49.247730, 55.380894, 67.670464, 81.981635, 149.779877], [115.729371, 117.495102, 128.487783, 129.629075, 131.443377, 135.585719, 150.941089, 182.967253, 224.440276, 539.399167], [110.585937, 114.995857, 121.809178, 122.041771, 123.033640, 131.143669, 143.515247, 171.259607, 214.648520, 717.207966], [196.306966, 201.405321, 217.240500, 218.560401, 221.151861, 231.217087, 255.273795, 307.684088, 381.047544, 1076.283597], [200.196991, 206.006909, 221.251103, 222.351670, 224.595153, 236.221051, 260.296368, 312.748096, 388.590124, 1085.179032]]
### 8
fourier: [[413.876904, 425.784471, 456.926904, 460.385265, 467.499975, 490.488847, 540.402210, 654.439417, 801.639223, 2128.109645]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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654.4394171829671, 801.6392232317977, 2128.109644562006]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-1.007441, 0.06277, -0.014104, 0.047623, 1.233425], [0.452039, -0.157909, -0.088983, -0.130889, 1.210708], [0.725114, -0.240606, -0.19951, -0.253271, 0.211569], [0.154792, -0.024535, 0.023776, -0.160779, 1.258737], [-0.768837, 0.003358, 0.146049, 0.056833, 1.178739]], "network.0.bias": [0.710098, -0.049566, -0.022112, 0.283684, -0.195453], "network.2.weight": [[-1.238601, -0.44166, -0.50513, 0.625574, -0.232152], [-1.189992, -0.298917, -0.038888, -0.38448, -0.096205], [0.704708, 0.716371, 0.426828, 0.570801, 0.452912], [1.181576, 0.923801, 0.707233, 0.304291, 0.403704], [-1.102718, 0.135158, -0.532125, 0.094731, -0.050671]], "network.2.bias": [0.381964, -0.628621, -0.418649, 0.06175, 0.20412], "network.4.weight": [[-0.349469, 0.345914, -0.426485, 0.065534, 0.050161], [0.755989, -0.374085, 0.110223, -0.33731, 0.230708], [-0.070838, 0.119421, 0.132448, -0.188991, -0.90913], [-0.690194, 0.625118, 0.681308, 1.080514, -0.765473], [-0.955133, 0.473681, 0.414367, 0.814215, -0.87659]], "network.4.bias": [-0.69311, 0.626206, -0.385558, -0.161935, 0.123638], "network.6.weight": [[-1.260484, 0.710795, -0.238952, -0.233422, -0.156461], [-1.49354, 1.172633, -0.339163, -0.682283, -0.399353], [0.696747, -0.266745, 0.105842, -0.663002, -0.412195], [0.328473, -0.812058, -0.414786, 0.921945, 1.057183], [0.788354, -0.415796, 0.193267, 0.947127, 1.069623]], "network.6.bias": [0.590097, 0.677617, -0.904286, -0.199817, -0.259665], "network.8.weight": [[0.4597, 0.712444, -1.139953, -1.162056, -0.912524]], "network.8.bias": [0.857776]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886599063873291, "train_acc": 0.58, "val_loss": 0.6991164684295654, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.623577356338501, "train_acc": 0.58, "val_loss": 0.6231451630592346, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5544308722019196, "train_acc": 0.515, "val_loss": 0.4807966947555542, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4403742253780365, "train_acc": 0.865, "val_loss": 0.45821449160575867, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.38395504653453827, "train_acc": 0.85, "val_loss": 0.3942692279815674, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3357251137495041, "train_acc": 0.885, "val_loss": 0.45799005031585693, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.30044831335544586, "train_acc": 0.88, "val_loss": 0.4362403154373169, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23614761233329773, "train_acc": 0.925, "val_loss": 0.28237032890319824, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1990836262702942, "train_acc": 0.915, "val_loss": 0.23387688398361206, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19833801686763763, "train_acc": 0.91, "val_loss": 0.10931724309921265, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.13269490748643875, "train_acc": 0.96, "val_loss": 0.04596950486302376, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.07986872643232346, "train_acc": 0.975, "val_loss": 0.12341327965259552, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6991164684295654, "final_val_loss": 0.6231451630592346, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.4807966947555542, "final_val_loss": 0.12341327965259552, "initial_val_acc": 0.8, "final_val_acc": 0.94, "best_val_acc": 1.0, "best_epoch": 10}, "improvement": 0.56, "first_improvement_epoch": 1}}
|
271
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6970, "learning_rate": 0.02639609542373051, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[9.816727, 10.094241, 10.098445, 10.165044, 10.456090, 11.357681, 11.484339, 11.860431, 19.277600, 40.690485], [18.083236, 18.481456, 19.098813, 20.434914, 20.684266, 21.272952, 21.469907, 21.833196, 25.789929, 124.420216], [13.644578, 13.969813, 15.683511, 15.921298, 17.872787, 18.084053, 18.249414, 18.277604, 21.274136, 119.090470], [17.078182, 17.713929, 18.302713, 18.694726, 19.622017, 22.694327, 25.124123, 25.281556, 25.480040, 91.469343], [16.103770, 16.753134, 17.198450, 17.248927, 17.473297, 17.961419, 18.085272, 21.406852, 22.994773, 53.080625], [29.220553, 29.305763, 31.728838, 32.046486, 33.012348, 34.619640, 36.362377, 40.617371, 47.628700, 336.082944], [10.656476, 11.934288, 13.137720, 14.738632, 15.018562, 15.565076, 16.068574, 16.405781, 20.184126, 24.300479]]
### 2
fourier: [[5.518679, 5.975202, 6.040212, 6.093976, 6.150949, 6.816869, 7.560835, 7.727213, 9.772491, 41.970066], [15.428857, 15.666159, 16.791039, 17.618157, 18.395911, 18.419597, 23.241842, 25.437278, 25.884187, 102.991661], [18.145437, 18.711889, 20.187083, 20.603999, 23.431977, 23.518513, 23.820180, 24.016205, 26.574649, 141.160676], [18.025809, 18.977036, 21.657248, 22.370112, 22.842466, 23.111522, 24.993977, 25.848953, 27.728265, 107.340940], [9.645950, 10.775639, 10.978812, 11.027831, 11.102986, 11.326806, 11.448531, 12.350417, 12.874926, 92.730382], [6.252100, 6.726950, 6.831477, 6.867029, 7.466653, 7.544700, 8.115014, 8.208720, 10.264600, 35.537965], [6.705569, 6.780590, 6.833874, 7.474075, 7.691820, 8.197344, 8.290451, 9.002531, 10.645959, 80.774436]]
### 4
fourier: [[7.022472, 7.540942, 8.304308, 8.676522, 8.848092, 8.913111, 9.330885, 9.387425, 11.003821, 11.280421], [6.203347, 6.662523, 7.071828, 7.448343, 7.797118, 8.604354, 8.915688, 9.099257, 9.239559, 32.758983], [12.247798, 13.372625, 13.724822, 13.749959, 14.132305, 16.563531, 16.598035, 16.675072, 17.539908, 45.612506], [18.529856, 20.562201, 22.207258, 22.213098, 22.770231, 24.300078, 24.485383, 24.824430, 26.656257, 131.435427], [16.277596, 16.287942, 16.421074, 19.780940, 20.600510, 20.638698, 20.989375, 23.771238, 24.118386, 64.137723], [6.272389, 6.329198, 7.054617, 7.073176, 7.355309, 7.803783, 8.935145, 9.207583, 9.754709, 20.764923], [5.534890, 5.586038, 6.241549, 7.029049, 7.036754, 7.116005, 7.219330, 7.254260, 7.573444, 8.326740]]
### 6
fourier: [[2.194349, 2.425946, 2.502148, 2.665050, 2.752973, 2.807600, 2.990259, 3.029119, 3.275238, 52.981608], [16.743736, 18.665955, 19.003281, 20.997979, 21.404298, 22.609096, 23.088547, 23.178416, 23.507570, 64.033253], [11.709357, 13.930854, 14.262062, 14.277321, 14.838701, 15.900284, 16.007887, 16.479045, 17.103528, 39.555946], [16.165587, 16.272700, 16.691524, 16.769323, 19.453192, 20.732653, 20.963637, 22.237795, 22.707723, 23.613638], [9.651641, 11.934823, 12.059464, 12.334543, 12.373132, 13.352688, 13.896159, 14.317758, 14.318033, 48.309741], [21.397157, 24.803182, 27.069479, 27.514673, 28.186649, 30.655313, 31.096458, 32.244431, 32.666314, 47.017592], [15.809688, 16.125312, 18.095405, 19.492309, 20.976444, 21.223926, 22.635330, 23.011721, 24.649376, 24.779837]]
### 8
fourier: [[18.207235, 21.722049, 23.317714, 23.375664, 24.065504, 26.622311, 27.112973, 27.293606, 27.407541, 56.255363], [10.441189, 11.682262, 12.771440, 12.786708, 14.147920, 14.957213, 15.334726, 15.420347, 15.707803, 17.673694], [9.542793, 10.335104, 11.511646, 11.777357, 11.786150, 13.880652, 14.761571, 14.969416, 15.341259, 17.173826], [11.736595, 13.659639, 14.874680, 15.010439, 15.358192, 17.314323, 17.316801, 17.435640, 17.436287, 42.871119], [13.111128, 13.700246, 15.433717, 15.452748, 15.959470, 18.141256, 18.732193, 18.994716, 19.919445, 24.777688], [15.973869, 18.510687, 19.775571, 20.460508, 20.726960, 23.546142, 23.762011, 23.792357, 24.876191, 24.889727], [13.522963, 14.385134, 14.860102, 16.841045, 17.391125, 17.626342, 18.456269, 19.774832, 20.778409, 22.498867]]
### 10
fourier: [[10.173384, 10.300990, 12.397706, 12.803368, 13.754496, 13.961578, 14.407564, 15.130027, 17.357287, 19.133699], [10.135922, 12.173197, 12.965266, 12.979449, 13.468621, 14.523702, 14.762354, 14.813245, 15.330655, 54.854930], [16.500560, 18.542228, 19.789394, 20.285037, 20.930980, 23.886215, 23.946611, 24.296128, 24.378315, 25.461174], [16.430423, 18.171910, 18.374827, 19.821445, 20.207165, 20.745189, 22.427863, 24.110452, 24.816562, 27.751172], [9.877291, 9.944923, 10.575123, 10.728868, 11.803300, 13.011893, 13.123079, 13.142361, 14.635619, 19.992879], [8.578554, 9.249257, 9.582266, 9.725004, 10.049355, 10.403733, 10.536218, 11.048693, 11.524726, 29.585930], [3.175401, 3.185721, 3.434308, 3.488079, 3.739041, 3.901044, 3.912031, 4.151192, 4.588870, 44.391044]]
### 12
fourier: [[9.596135, 9.815944, 11.966515, 12.219447, 12.778806, 13.293181, 13.853457, 14.744024, 14.807557, 16.311904]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[9.816727, 10.094241, 10.098445, 10.165044, 10.456090, 11.357681, 11.484339, 11.860431, 19.277600, 40.690485], [18.083236, 18.481456, 19.098813, 20.434914, 20.684266, 21.272952, 21.469907, 21.833196, 25.789929, 124.420216], [13.644578, 13.969813, 15.683511, 15.921298, 17.872787, 18.084053, 18.249414, 18.277604, 21.274136, 119.090470], [17.078182, 17.713929, 18.302713, 18.694726, 19.622017, 22.694327, 25.124123, 25.281556, 25.480040, 91.469343], [16.103770, 16.753134, 17.198450, 17.248927, 17.473297, 17.961419, 18.085272, 21.406852, 22.994773, 53.080625], [29.220553, 29.305763, 31.728838, 32.046486, 33.012348, 34.619640, 36.362377, 40.617371, 47.628700, 336.082944], [10.656476, 11.934288, 13.137720, 14.738632, 15.018562, 15.565076, 16.068574, 16.405781, 20.184126, 24.300479]]
### 2
fourier: [[5.518679, 5.975202, 6.040212, 6.093976, 6.150949, 6.816869, 7.560835, 7.727213, 9.772491, 41.970066], [15.428857, 15.666159, 16.791039, 17.618157, 18.395911, 18.419597, 23.241842, 25.437278, 25.884187, 102.991661], [18.145437, 18.711889, 20.187083, 20.603999, 23.431977, 23.518513, 23.820180, 24.016205, 26.574649, 141.160676], [18.025809, 18.977036, 21.657248, 22.370112, 22.842466, 23.111522, 24.993977, 25.848953, 27.728265, 107.340940], [9.645950, 10.775639, 10.978812, 11.027831, 11.102986, 11.326806, 11.448531, 12.350417, 12.874926, 92.730382], [6.252100, 6.726950, 6.831477, 6.867029, 7.466653, 7.544700, 8.115014, 8.208720, 10.264600, 35.537965], [6.705569, 6.780590, 6.833874, 7.474075, 7.691820, 8.197344, 8.290451, 9.002531, 10.645959, 80.774436]]
### 4
fourier: [[7.022472, 7.540942, 8.304308, 8.676522, 8.848092, 8.913111, 9.330885, 9.387425, 11.003821, 11.280421], [6.203347, 6.662523, 7.071828, 7.448343, 7.797118, 8.604354, 8.915688, 9.099257, 9.239559, 32.758983], [12.247798, 13.372625, 13.724822, 13.749959, 14.132305, 16.563531, 16.598035, 16.675072, 17.539908, 45.612506], [18.529856, 20.562201, 22.207258, 22.213098, 22.770231, 24.300078, 24.485383, 24.824430, 26.656257, 131.435427], [16.277596, 16.287942, 16.421074, 19.780940, 20.600510, 20.638698, 20.989375, 23.771238, 24.118386, 64.137723], [6.272389, 6.329198, 7.054617, 7.073176, 7.355309, 7.803783, 8.935145, 9.207583, 9.754709, 20.764923], [5.534890, 5.586038, 6.241549, 7.029049, 7.036754, 7.116005, 7.219330, 7.254260, 7.573444, 8.326740]]
### 6
fourier: [[2.194349, 2.425946, 2.502148, 2.665050, 2.752973, 2.807600, 2.990259, 3.029119, 3.275238, 52.981608], [16.743736, 18.665955, 19.003281, 20.997979, 21.404298, 22.609096, 23.088547, 23.178416, 23.507570, 64.033253], [11.709357, 13.930854, 14.262062, 14.277321, 14.838701, 15.900284, 16.007887, 16.479045, 17.103528, 39.555946], [16.165587, 16.272700, 16.691524, 16.769323, 19.453192, 20.732653, 20.963637, 22.237795, 22.707723, 23.613638], [9.651641, 11.934823, 12.059464, 12.334543, 12.373132, 13.352688, 13.896159, 14.317758, 14.318033, 48.309741], [21.397157, 24.803182, 27.069479, 27.514673, 28.186649, 30.655313, 31.096458, 32.244431, 32.666314, 47.017592], [15.809688, 16.125312, 18.095405, 19.492309, 20.976444, 21.223926, 22.635330, 23.011721, 24.649376, 24.779837]]
### 8
fourier: [[18.207235, 21.722049, 23.317714, 23.375664, 24.065504, 26.622311, 27.112973, 27.293606, 27.407541, 56.255363], [10.441189, 11.682262, 12.771440, 12.786708, 14.147920, 14.957213, 15.334726, 15.420347, 15.707803, 17.673694], [9.542793, 10.335104, 11.511646, 11.777357, 11.786150, 13.880652, 14.761571, 14.969416, 15.341259, 17.173826], [11.736595, 13.659639, 14.874680, 15.010439, 15.358192, 17.314323, 17.316801, 17.435640, 17.436287, 42.871119], [13.111128, 13.700246, 15.433717, 15.452748, 15.959470, 18.141256, 18.732193, 18.994716, 19.919445, 24.777688], [15.973869, 18.510687, 19.775571, 20.460508, 20.726960, 23.546142, 23.762011, 23.792357, 24.876191, 24.889727], [13.522963, 14.385134, 14.860102, 16.841045, 17.391125, 17.626342, 18.456269, 19.774832, 20.778409, 22.498867]]
### 10
fourier: [[10.173384, 10.300990, 12.397706, 12.803368, 13.754496, 13.961578, 14.407564, 15.130027, 17.357287, 19.133699], [10.135922, 12.173197, 12.965266, 12.979449, 13.468621, 14.523702, 14.762354, 14.813245, 15.330655, 54.854930], [16.500560, 18.542228, 19.789394, 20.285037, 20.930980, 23.886215, 23.946611, 24.296128, 24.378315, 25.461174], [16.430423, 18.171910, 18.374827, 19.821445, 20.207165, 20.745189, 22.427863, 24.110452, 24.816562, 27.751172], [9.877291, 9.944923, 10.575123, 10.728868, 11.803300, 13.011893, 13.123079, 13.142361, 14.635619, 19.992879], [8.578554, 9.249257, 9.582266, 9.725004, 10.049355, 10.403733, 10.536218, 11.048693, 11.524726, 29.585930], [3.175401, 3.185721, 3.434308, 3.488079, 3.739041, 3.901044, 3.912031, 4.151192, 4.588870, 44.391044]]
### 12
fourier: [[9.596135, 9.815944, 11.966515, 12.219447, 12.778806, 13.293181, 13.853457, 14.744024, 14.807557, 16.311904]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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14.744023640062574, 14.807557135820389, 16.311903974247134]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_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"}}
|
{"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": [[0.097067, -0.162962, -0.264328, 0.201392, -0.238771], [-0.408155, 0.096808, 0.110679, 0.4771, 0.29144], [0.285907, 0.347827, 0.062015, 0.066592, -0.193321], [-0.608989, 0.29126, 0.218016, -0.054085, 0.499449], [-0.347991, -0.15668, 0.602243, 0.100116, -0.077847], [0.543372, 0.056073, 0.610244, 0.34205, 0.312532], [-0.045786, -0.213992, 0.248255, -0.287486, 0.287106]], "network.0.bias": [0.138805, 0.100212, 0.299696, 0.288024, -0.068354, 0.562187, 0.191489], "network.2.weight": [[0.166732, -0.214383, -0.238575, -0.013589, 0.119003, 0.077187, 0.196645], [-0.017115, 0.376956, -0.49575, -0.063029, 0.590098, 0.284118, 0.117044], [-0.133052, 0.393298, -0.270131, 0.6151, 0.375518, 0.03836, 0.154222], [-0.428907, -0.157847, 0.093701, -0.591048, -0.401089, 0.494789, -0.461715], [0.411748, -0.060033, 0.356015, -0.108084, -0.042669, -0.278349, -0.071715], [-0.127206, 0.08356, -0.024419, -0.292677, 0.092853, -0.198144, 0.267688], [-0.023159, -0.009363, 0.310906, 0.212363, -0.422849, 0.017549, 0.096849]], "network.2.bias": [-0.28337, -0.183016, 0.238427, 0.52846, -0.195751, 0.438781, 0.485586], "network.4.weight": [[0.048756, -0.193367, -0.022461, 0.357527, -0.278979, -0.359243, -0.108252], [0.178042, -0.029682, 0.227746, -0.242859, 0.040319, 0.181574, 0.289393], [-0.201018, -0.224671, -0.233888, 0.285604, -0.416527, -0.486987, 0.356711], [-0.139161, 0.573631, 0.393222, -0.388066, -0.095079, -0.175104, 0.196065], [-0.274555, 0.150826, -0.433086, 0.604801, -0.102274, -0.123189, 0.324497], [-0.493648, -0.152391, -0.192676, 0.009599, -0.307755, -0.061979, 0.054084], [-0.312344, 0.173569, -0.457931, -0.074512, -0.486962, -0.014886, 0.21855]], "network.4.bias": [-0.033508, 0.134678, 0.415525, 0.465227, 0.214788, 0.103035, 0.313663], "network.6.weight": [[-0.077427, 0.484704, -0.234109, -0.104699, 0.056764, 0.245623, -0.049427], [-0.488518, 0.486307, -0.007962, 0.56954, -0.183593, -0.591897, -0.035946], [0.098565, -0.030634, -0.1999, 0.409604, -0.240561, -0.450747, -0.253198], [0.156588, 0.096402, 0.24388, -0.363191, 0.595217, -0.001779, 0.161649], [0.018825, -0.12096, -0.301679, 0.340677, -0.206428, -0.077822, -0.015665], [0.547715, -0.585755, 0.406404, -0.597807, 0.329848, 0.216538, 0.21855], [0.55826, -0.179452, 0.051725, -0.498753, 0.430746, -0.015034, -0.002233]], "network.6.bias": [-0.479423, -0.055973, 0.136992, -0.163161, 0.398882, -0.04542, 0.331967], "network.8.weight": [[-0.063937, -0.598492, -0.339363, 0.180719, -0.301296, 0.279996, 0.336762], [-0.235765, -0.064135, -0.20535, 0.592413, 0.063222, 0.343928, -0.052608], [-0.253651, -0.09165, 0.323674, -0.315029, 0.019084, -0.490894, -0.050225], [-0.46153, 0.473943, -0.140303, 0.146344, 0.419671, -0.08139, -0.584889], [-0.423354, -0.406413, -0.073656, -0.080681, -0.186494, 0.329559, 0.450655], [-0.129911, 0.492426, 0.279524, -0.39652, 0.220111, -0.324365, -0.082692], [0.094151, 0.044015, 0.154758, -0.474692, 0.453894, -0.23245, -0.268723]], "network.8.bias": [-0.101468, -0.087252, 0.310372, 0.068356, -0.15, -0.116605, -0.084241], "network.10.weight": [[0.440002, 0.453985, -0.009479, -0.082688, 0.091428, -0.015525, -0.464933], [0.007931, 0.143246, -0.043652, -0.419671, 0.407534, -0.295216, -0.143905], [0.458428, 0.36179, -0.303063, -0.30955, 0.254657, -0.434868, -0.509178], [-0.577206, -0.382135, 0.118307, 0.316086, -0.502529, 0.474115, -0.079575], [0.107797, 0.418039, 0.171237, -0.049213, 0.20633, -0.263541, -0.420636], [0.084174, -0.125147, -0.26299, -0.184907, 0.289271, -0.300296, -0.299386], [0.073105, -0.24631, -0.392821, 0.064109, -0.100529, -0.184402, -0.27739]], "network.10.bias": [0.118789, -0.264943, 0.100397, -0.157887, -0.163808, 0.062228, -0.168958], "network.12.weight": [[0.279739, 0.178962, 0.368942, -0.377907, 0.144586, 0.476872, -0.038953]], "network.12.bias": [-0.247378]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.67882439494133, "train_acc": 0.58, "val_loss": 0.7101483941078186, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.676686018705368, "train_acc": 0.58, "val_loss": 0.7030429244041443, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.669090986251831, "train_acc": 0.58, "val_loss": 0.67393958568573, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6509049236774445, "train_acc": 0.5, "val_loss": 0.5441346764564514, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.497013658285141, "train_acc": 0.93, "val_loss": 0.3097095489501953, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.26150884479284286, "train_acc": 0.945, "val_loss": 0.2768042981624603, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.23010766878724098, "train_acc": 0.94, "val_loss": 0.21035070717334747, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.23257870972156525, "train_acc": 0.925, "val_loss": 0.15665525197982788, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.1818377897143364, "train_acc": 0.93, "val_loss": 0.14649160206317902, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.16633526235818863, "train_acc": 0.96, "val_loss": 0.17126122117042542, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.147572360932827, "train_acc": 0.955, "val_loss": 0.1477022022008896, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.14881309121847153, "train_acc": 0.96, "val_loss": 0.1418461799621582, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.1401161178946495, "train_acc": 0.96, "val_loss": 0.14004924893379211, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7101483941078186, "final_val_loss": 0.67393958568573, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5441346764564514, "final_val_loss": 0.14004924893379211, "initial_val_acc": 0.94, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
272
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.74, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5232, "learning_rate": 0.03981592912229904, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[13.676310, 13.711159, 13.954058, 14.081789, 14.103438, 14.332597, 14.514298, 15.936387, 16.573772, 20.757536], [32.495764, 34.604341, 38.205887, 38.427757, 39.765932, 41.439203, 42.217812, 42.812000, 53.783935, 360.279276], [26.341440, 26.660630, 27.044412, 33.900408, 38.750234, 38.949047, 39.402669, 45.448466, 50.365851, 209.621626], [20.644043, 20.677437, 21.271570, 22.164690, 22.281165, 28.663690, 28.906197, 31.976638, 37.909524, 228.551350], [20.113067, 21.399057, 22.078480, 22.302799, 23.770058, 25.216523, 25.529020, 27.602242, 30.659560, 96.125412], [20.882926, 20.906242, 21.840173, 22.430539, 22.803615, 23.011568, 24.473920, 25.258406, 37.852729, 69.646153], [16.599213, 16.749913, 16.877470, 17.100096, 18.858059, 19.242825, 22.751468, 23.709519, 33.433322, 66.247891]]
### 2
fourier: [[11.571717, 12.266582, 12.405266, 12.544617, 14.530798, 14.549007, 14.845458, 17.486185, 18.627242, 20.602802], [4.481142, 4.715075, 4.906079, 4.910967, 5.023719, 5.031249, 6.087403, 6.307164, 8.350241, 10.516168], [4.563893, 4.727601, 6.488505, 6.555017, 7.216730, 7.267684, 8.379802, 8.505712, 8.807863, 40.905996], [15.031348, 15.220299, 16.335038, 16.702960, 17.042300, 17.135744, 17.318591, 17.991069, 26.636739, 158.138464], [9.917238, 10.520517, 11.362349, 12.569539, 12.619136, 12.933186, 14.171468, 14.851701, 15.122757, 84.221599], [9.038041, 9.455402, 10.073394, 10.181245, 10.334677, 10.763709, 11.085372, 12.201421, 12.809000, 62.904147], [15.165905, 16.067237, 16.818609, 17.128115, 17.331389, 17.391194, 17.421568, 18.557689, 31.396178, 132.941060]]
### 4
fourier: [[5.664812, 5.674531, 5.765673, 6.334169, 7.644607, 8.084743, 8.265614, 8.755777, 9.536510, 96.400355], [11.077924, 11.306128, 11.537228, 13.697054, 13.979720, 14.160335, 14.842193, 16.267961, 18.728338, 55.568799], [4.503510, 4.767681, 4.966251, 5.471281, 6.277006, 6.859020, 6.903678, 7.403787, 7.706676, 37.956756], [9.461318, 9.915755, 10.445544, 11.964281, 12.049271, 12.305985, 12.515132, 13.431052, 16.867061, 28.931401], [6.222404, 6.388831, 6.814923, 7.442473, 8.506029, 8.803991, 9.282812, 9.576598, 10.379797, 87.335353], [10.609210, 10.746516, 10.994952, 11.078648, 11.306558, 11.651601, 12.145753, 13.139473, 17.484831, 39.321673], [7.718187, 7.877179, 7.980113, 8.262577, 8.265376, 8.279844, 8.553347, 8.553941, 9.616160, 13.411011]]
### 6
fourier: [[8.735305, 9.000263, 9.315093, 9.646123, 9.690077, 10.344884, 11.801447, 12.857252, 13.092397, 15.098339], [8.272076, 8.449426, 8.793324, 9.200375, 10.443028, 12.088058, 12.337070, 13.143989, 14.199023, 53.507515], [14.129139, 14.770634, 15.135620, 16.299251, 16.477496, 17.440486, 19.852343, 21.284626, 22.391978, 37.819640], [8.813515, 8.834173, 9.138518, 9.303412, 10.075459, 10.098877, 12.047834, 13.387051, 13.891840, 14.874643], [6.997528, 7.094934, 7.599181, 7.719965, 7.898152, 8.367155, 8.392116, 9.528883, 11.765341, 36.326202], [10.546273, 10.634762, 11.135976, 11.507731, 11.917849, 12.104184, 14.557647, 14.637637, 16.012138, 18.236377], [10.521298, 10.981226, 11.423229, 12.134828, 13.415234, 15.603709, 15.945259, 16.164753, 18.027019, 71.728730]]
### 8
fourier: [[21.951757, 23.212013, 23.822919, 23.991269, 25.175275, 26.009981, 30.618565, 30.819274, 32.472775, 37.574029]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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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## Activation Signature
### 0
fourier: [[13.676310, 13.711159, 13.954058, 14.081789, 14.103438, 14.332597, 14.514298, 15.936387, 16.573772, 20.757536], [32.495764, 34.604341, 38.205887, 38.427757, 39.765932, 41.439203, 42.217812, 42.812000, 53.783935, 360.279276], [26.341440, 26.660630, 27.044412, 33.900408, 38.750234, 38.949047, 39.402669, 45.448466, 50.365851, 209.621626], [20.644043, 20.677437, 21.271570, 22.164690, 22.281165, 28.663690, 28.906197, 31.976638, 37.909524, 228.551350], [20.113067, 21.399057, 22.078480, 22.302799, 23.770058, 25.216523, 25.529020, 27.602242, 30.659560, 96.125412], [20.882926, 20.906242, 21.840173, 22.430539, 22.803615, 23.011568, 24.473920, 25.258406, 37.852729, 69.646153], [16.599213, 16.749913, 16.877470, 17.100096, 18.858059, 19.242825, 22.751468, 23.709519, 33.433322, 66.247891]]
### 2
fourier: [[11.571717, 12.266582, 12.405266, 12.544617, 14.530798, 14.549007, 14.845458, 17.486185, 18.627242, 20.602802], [4.481142, 4.715075, 4.906079, 4.910967, 5.023719, 5.031249, 6.087403, 6.307164, 8.350241, 10.516168], [4.563893, 4.727601, 6.488505, 6.555017, 7.216730, 7.267684, 8.379802, 8.505712, 8.807863, 40.905996], [15.031348, 15.220299, 16.335038, 16.702960, 17.042300, 17.135744, 17.318591, 17.991069, 26.636739, 158.138464], [9.917238, 10.520517, 11.362349, 12.569539, 12.619136, 12.933186, 14.171468, 14.851701, 15.122757, 84.221599], [9.038041, 9.455402, 10.073394, 10.181245, 10.334677, 10.763709, 11.085372, 12.201421, 12.809000, 62.904147], [15.165905, 16.067237, 16.818609, 17.128115, 17.331389, 17.391194, 17.421568, 18.557689, 31.396178, 132.941060]]
### 4
fourier: [[5.664812, 5.674531, 5.765673, 6.334169, 7.644607, 8.084743, 8.265614, 8.755777, 9.536510, 96.400355], [11.077924, 11.306128, 11.537228, 13.697054, 13.979720, 14.160335, 14.842193, 16.267961, 18.728338, 55.568799], [4.503510, 4.767681, 4.966251, 5.471281, 6.277006, 6.859020, 6.903678, 7.403787, 7.706676, 37.956756], [9.461318, 9.915755, 10.445544, 11.964281, 12.049271, 12.305985, 12.515132, 13.431052, 16.867061, 28.931401], [6.222404, 6.388831, 6.814923, 7.442473, 8.506029, 8.803991, 9.282812, 9.576598, 10.379797, 87.335353], [10.609210, 10.746516, 10.994952, 11.078648, 11.306558, 11.651601, 12.145753, 13.139473, 17.484831, 39.321673], [7.718187, 7.877179, 7.980113, 8.262577, 8.265376, 8.279844, 8.553347, 8.553941, 9.616160, 13.411011]]
### 6
fourier: [[8.735305, 9.000263, 9.315093, 9.646123, 9.690077, 10.344884, 11.801447, 12.857252, 13.092397, 15.098339], [8.272076, 8.449426, 8.793324, 9.200375, 10.443028, 12.088058, 12.337070, 13.143989, 14.199023, 53.507515], [14.129139, 14.770634, 15.135620, 16.299251, 16.477496, 17.440486, 19.852343, 21.284626, 22.391978, 37.819640], [8.813515, 8.834173, 9.138518, 9.303412, 10.075459, 10.098877, 12.047834, 13.387051, 13.891840, 14.874643], [6.997528, 7.094934, 7.599181, 7.719965, 7.898152, 8.367155, 8.392116, 9.528883, 11.765341, 36.326202], [10.546273, 10.634762, 11.135976, 11.507731, 11.917849, 12.104184, 14.557647, 14.637637, 16.012138, 18.236377], [10.521298, 10.981226, 11.423229, 12.134828, 13.415234, 15.603709, 15.945259, 16.164753, 18.027019, 71.728730]]
### 8
fourier: [[21.951757, 23.212013, 23.822919, 23.991269, 25.175275, 26.009981, 30.618565, 30.819274, 32.472775, 37.574029]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 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": [[0.357598, -0.059473, -0.220199, 0.373862, -0.298268], [-0.514056, -0.008872, -0.8715, -0.621179, -0.142763], [-0.629867, 0.176055, -0.380543, 0.085685, -0.684029], [0.271732, 0.23924, -0.02599, 0.689037, 0.14622], [0.405108, -0.220923, -0.804198, 0.117401, 0.314483], [-0.105937, -0.620618, -0.276086, 0.549163, -0.295377], [0.185882, -0.150285, -0.615015, 0.32904, -0.242219]], "network.0.bias": [-0.322946, -0.018596, -0.411304, 0.161706, -0.129364, 0.252252, 0.184271], "network.2.weight": [[-0.689107, -0.858429, 0.097376, -0.051953, 0.432336, -0.668808, -0.630569], [0.312115, 0.492614, 0.079202, 0.104238, -0.306352, -0.340391, -0.066589], [0.146845, 0.550913, 0.083869, 0.132402, -0.427133, -0.438447, -0.326116], [0.520856, 0.228065, -0.218981, 0.366083, 0.525319, 0.342993, 0.668063], [-0.099075, 0.885645, 0.13234, 0.461931, -0.358212, -0.327902, -0.426898], [-0.174321, 0.17407, 0.385807, 0.391584, -0.180274, -0.339979, -0.415874], [-0.740357, -0.029878, 0.167844, -0.415472, -0.006126, -0.012317, -0.834144]], "network.2.bias": [0.36401, -0.332262, 0.295883, 0.446405, 0.017582, -0.038984, -0.084638], "network.4.weight": [[0.225206, 0.331226, -0.063879, -0.099575, -0.463076, -0.072484, 0.192565], [-0.50778, 0.295174, 0.428429, 0.091101, 0.474961, 0.361815, 0.553272], [0.524677, -0.562539, -0.456505, 0.132645, 0.219216, -0.466186, -0.266124], [-0.473819, 0.604278, 0.257435, 0.107484, 0.428672, 0.223772, 0.361052], [0.03949, 0.181169, -0.266948, -0.092046, -0.420708, -0.1153, -0.013102], [0.134294, -0.260389, -0.580098, 0.622381, -0.084764, -0.479058, -0.208596], [0.378567, -0.066851, 0.283804, -0.394277, 0.244834, -0.462467, -0.743397]], "network.4.bias": [-0.453317, -0.215036, 0.386086, -0.366728, -0.295724, -0.054606, 0.441154], "network.6.weight": [[0.325054, 0.447951, -0.286797, 0.214746, 0.392821, -0.278153, -0.349597], [-0.284377, -0.344902, 0.290623, 0.13228, -0.436636, 0.669574, 0.237571], [-0.066349, 0.712425, -0.017357, 0.6072, -0.046103, -0.397928, -0.379514], [0.119197, 0.232137, -0.703944, 0.518049, 0.305704, -0.121594, 0.142419], [-0.46779, -0.140041, 0.2516, -0.477612, -0.509938, -0.041504, 0.211654], [0.104611, 0.462196, -0.479855, 0.281185, 0.295178, -0.386, -0.370716], [-0.278473, -0.187779, 0.458801, -0.338419, -0.42628, 0.708238, 0.097608]], "network.6.bias": [-0.053191, 0.259975, -0.039078, -0.029961, 0.446759, 0.107827, 0.482767], "network.8.weight": [[-0.272441, 0.513778, -0.50329, -0.277625, 0.369654, -0.537457, 0.619392]], "network.8.bias": [-0.14885]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6769830584526062, "train_acc": 0.585, "val_loss": 0.7179473638534546, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6786102950572968, "train_acc": 0.585, "val_loss": 0.683765709400177, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6485152542591095, "train_acc": 0.635, "val_loss": 0.6479946970939636, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6630901098251343, "train_acc": 0.58, "val_loss": 0.6161788105964661, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5878896713256836, "train_acc": 0.655, "val_loss": 0.6935586333274841, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5814797580242157, "train_acc": 0.655, "val_loss": 0.5787991881370544, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5462663769721985, "train_acc": 0.74, "val_loss": 0.5613796710968018, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4889907240867615, "train_acc": 0.75, "val_loss": 0.618034839630127, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.47223834693431854, "train_acc": 0.7, "val_loss": 0.6099608540534973, "val_acc": 0.68}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4722273349761963, "train_acc": 0.765, "val_loss": 0.5997429490089417, "val_acc": 0.74}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7179473638534546, "final_val_loss": 0.6479946970939636, "initial_val_acc": 0.48, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6161788105964661, "final_val_loss": 0.5997429490089417, "initial_val_acc": 0.66, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 9}, "improvement": 0.16000000000000003, "first_improvement_epoch": 2}}
|
273
|
{"target_pattern": "alternating", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3789, "learning_rate": 0.08532816994826156, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
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}
## Activation Signature
### 0
fourier: [[24.515917, 24.659555, 28.811551, 29.324891, 29.818165, 32.210614, 32.607163, 33.272174, 33.873118, 316.745803], [50.656463, 54.028065, 56.805896, 58.380217, 61.277798, 66.960138, 68.650758, 71.886827, 73.907520, 288.420450], [31.582295, 32.649875, 33.677192, 33.982684, 34.891967, 40.549861, 40.900244, 41.384077, 44.819439, 109.863758], [34.923261, 37.472124, 40.590777, 44.732916, 46.182969, 47.049598, 49.579473, 52.444459, 59.094959, 70.042268], [33.260867, 33.828029, 34.032487, 34.158355, 34.960280, 38.520123, 38.595966, 44.013977, 44.436887, 50.521179], [19.569808, 20.160916, 20.423237, 21.540654, 21.797964, 23.507379, 25.337187, 26.840455, 27.389007, 146.632682], [26.303002, 27.338466, 28.561106, 28.761291, 28.777209, 29.180355, 30.535597, 30.579466, 32.192375, 34.770380], [45.037080, 45.296368, 45.337271, 46.279013, 47.188186, 51.009886, 52.562697, 54.360627, 64.191690, 337.900647]]
### 2
fourier: [[47.922020, 48.758715, 50.231688, 52.963405, 58.062864, 60.777338, 73.550751, 77.221120, 82.571330, 510.278162], [31.568956, 36.075307, 38.756234, 40.134100, 41.892002, 42.879265, 47.219702, 51.804526, 56.425307, 307.062241], [52.645438, 54.985680, 56.447419, 63.649247, 66.066088, 68.314784, 75.093610, 79.985032, 84.682598, 411.324100], [47.634864, 47.824016, 55.342074, 58.147423, 58.918795, 63.670164, 68.908111, 69.984014, 84.495549, 334.341763], [26.964595, 27.650535, 28.105058, 30.326439, 31.876611, 33.178353, 33.360968, 42.688030, 56.935225, 90.245490], [74.362560, 78.178021, 79.528665, 92.033570, 96.313338, 114.813158, 119.150595, 123.471491, 141.737693, 807.404905], [51.445532, 56.468266, 61.302516, 64.008401, 64.125273, 66.391629, 71.342592, 76.289786, 77.815005, 291.623117], [89.933401, 93.456167, 97.168120, 97.766117, 101.120728, 101.995698, 119.958248, 129.757568, 146.556792, 820.417990]]
### 4
fourier: [[80.045350, 85.120665, 85.680971, 90.720606, 94.832998, 97.475828, 111.783092, 119.593173, 126.760990, 656.038667], [70.879870, 74.777497, 74.971503, 76.390612, 79.193676, 88.952870, 100.040493, 105.988642, 109.577439, 597.119818], [40.303394, 41.144032, 41.750918, 43.392599, 44.120651, 48.782888, 57.036226, 57.496646, 59.428686, 313.831627], [58.605149, 65.914848, 71.030835, 73.671504, 74.551265, 84.926938, 87.547653, 90.359088, 109.429469, 491.433358], [62.934268, 68.335541, 75.354895, 78.707486, 79.030984, 88.778173, 94.254137, 95.712193, 115.254434, 517.506406], [64.603870, 68.910361, 69.042251, 70.274353, 72.462719, 82.812696, 90.056475, 96.657400, 101.229522, 569.774040], [82.582300, 86.576176, 87.834288, 89.497965, 98.525920, 100.804771, 112.224315, 123.020724, 126.018129, 630.225886], [19.110029, 20.302396, 21.637583, 22.957643, 24.549310, 26.378630, 30.820136, 32.418199, 34.250558, 127.624990]]
### 6
fourier: [[55.366646, 59.843068, 60.947028, 63.004694, 65.268547, 73.528486, 80.589164, 83.579607, 93.601119, 438.465481], [137.325946, 148.635954, 155.345365, 159.635353, 163.881262, 183.797469, 200.327217, 207.935013, 235.306139, 1203.872234], [76.640443, 82.378388, 84.248408, 87.030579, 90.045065, 101.663683, 111.572341, 115.120193, 128.778230, 599.578881], [108.668902, 118.799258, 126.089647, 128.357188, 130.824125, 146.804954, 158.282284, 165.456249, 187.934443, 985.657016], [124.660864, 135.556634, 141.213798, 144.451817, 148.539537, 166.589376, 181.608624, 188.896976, 213.101259, 1131.250233], [54.943699, 59.797449, 63.456317, 64.387688, 65.700032, 74.125567, 79.591026, 83.204484, 93.948303, 537.964570], [92.483329, 99.869075, 102.467519, 105.417105, 109.037821, 122.813196, 134.414283, 139.338047, 156.007234, 725.182879], [70.231739, 75.456774, 80.203991, 82.326284, 83.984671, 94.393223, 102.594921, 105.881555, 120.360579, 670.100803]]
### 8
fourier: [[95.541139, 102.996396, 104.947108, 108.211741, 112.650624, 126.980461, 139.350505, 143.982859, 161.020116, 733.757369], [31.433475, 33.474385, 33.894513, 33.897350, 35.816376, 39.873437, 45.315176, 46.768915, 49.431872, 320.048899], [115.970922, 124.909918, 127.308945, 130.803052, 136.436029, 153.602660, 169.077131, 174.640700, 194.294397, 902.131806], [134.956096, 145.412143, 148.068749, 152.477071, 159.024284, 179.182882, 196.929073, 203.363212, 226.903856, 1016.227141], [49.200331, 53.101045, 54.136906, 55.911906, 58.178532, 65.617291, 71.836574, 74.240516, 83.338289, 378.635823], [85.031898, 91.769367, 93.707368, 96.861891, 100.850104, 113.889957, 124.484069, 128.461782, 144.453177, 634.180490], [135.391711, 145.745858, 148.570479, 152.464190, 159.091572, 179.025603, 197.303901, 203.769700, 226.295578, 1019.605287], [147.286754, 158.522160, 161.341140, 165.732659, 173.003150, 194.748177, 214.661744, 221.664786, 246.129070, 1149.187813]]
### 10
fourier: [[282.705930, 303.986522, 308.285912, 315.802597, 331.678535, 372.728988, 412.348153, 425.233760, 470.588422, 2156.051309], [215.270455, 231.326061, 234.542844, 239.781132, 252.183126, 283.227463, 313.997497, 323.656810, 357.088933, 1605.944895], [327.331774, 351.690392, 356.507077, 364.513704, 383.400088, 430.715779, 477.521128, 492.133306, 542.819532, 2486.181188], [394.945626, 424.351812, 430.760413, 440.039902, 462.721074, 519.847492, 576.410579, 593.866381, 654.953838, 2900.936510], [256.412918, 275.679721, 279.384456, 286.303180, 300.787539, 338.137687, 374.106550, 385.716881, 426.770177, 1957.675694], [376.300610, 404.804961, 410.681362, 421.069424, 441.884130, 496.696826, 548.919769, 566.200737, 627.698804, 2784.255051], [400.156846, 430.268133, 436.357476, 446.612949, 469.213743, 527.078783, 583.726150, 601.945899, 665.477396, 2967.581562], [542.927072, 583.215386, 591.256992, 603.929181, 635.528348, 713.758998, 792.062105, 816.155932, 898.995223, 4044.484644]]
### 12
fourier: [[521.436973, 562.965162, 569.510740, 590.839655, 615.314864, 694.508809, 760.660227, 787.542306, 880.524049, 3842.095600]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[24.515917, 24.659555, 28.811551, 29.324891, 29.818165, 32.210614, 32.607163, 33.272174, 33.873118, 316.745803], [50.656463, 54.028065, 56.805896, 58.380217, 61.277798, 66.960138, 68.650758, 71.886827, 73.907520, 288.420450], [31.582295, 32.649875, 33.677192, 33.982684, 34.891967, 40.549861, 40.900244, 41.384077, 44.819439, 109.863758], [34.923261, 37.472124, 40.590777, 44.732916, 46.182969, 47.049598, 49.579473, 52.444459, 59.094959, 70.042268], [33.260867, 33.828029, 34.032487, 34.158355, 34.960280, 38.520123, 38.595966, 44.013977, 44.436887, 50.521179], [19.569808, 20.160916, 20.423237, 21.540654, 21.797964, 23.507379, 25.337187, 26.840455, 27.389007, 146.632682], [26.303002, 27.338466, 28.561106, 28.761291, 28.777209, 29.180355, 30.535597, 30.579466, 32.192375, 34.770380], [45.037080, 45.296368, 45.337271, 46.279013, 47.188186, 51.009886, 52.562697, 54.360627, 64.191690, 337.900647]]
### 2
fourier: [[47.922020, 48.758715, 50.231688, 52.963405, 58.062864, 60.777338, 73.550751, 77.221120, 82.571330, 510.278162], [31.568956, 36.075307, 38.756234, 40.134100, 41.892002, 42.879265, 47.219702, 51.804526, 56.425307, 307.062241], [52.645438, 54.985680, 56.447419, 63.649247, 66.066088, 68.314784, 75.093610, 79.985032, 84.682598, 411.324100], [47.634864, 47.824016, 55.342074, 58.147423, 58.918795, 63.670164, 68.908111, 69.984014, 84.495549, 334.341763], [26.964595, 27.650535, 28.105058, 30.326439, 31.876611, 33.178353, 33.360968, 42.688030, 56.935225, 90.245490], [74.362560, 78.178021, 79.528665, 92.033570, 96.313338, 114.813158, 119.150595, 123.471491, 141.737693, 807.404905], [51.445532, 56.468266, 61.302516, 64.008401, 64.125273, 66.391629, 71.342592, 76.289786, 77.815005, 291.623117], [89.933401, 93.456167, 97.168120, 97.766117, 101.120728, 101.995698, 119.958248, 129.757568, 146.556792, 820.417990]]
### 4
fourier: [[80.045350, 85.120665, 85.680971, 90.720606, 94.832998, 97.475828, 111.783092, 119.593173, 126.760990, 656.038667], [70.879870, 74.777497, 74.971503, 76.390612, 79.193676, 88.952870, 100.040493, 105.988642, 109.577439, 597.119818], [40.303394, 41.144032, 41.750918, 43.392599, 44.120651, 48.782888, 57.036226, 57.496646, 59.428686, 313.831627], [58.605149, 65.914848, 71.030835, 73.671504, 74.551265, 84.926938, 87.547653, 90.359088, 109.429469, 491.433358], [62.934268, 68.335541, 75.354895, 78.707486, 79.030984, 88.778173, 94.254137, 95.712193, 115.254434, 517.506406], [64.603870, 68.910361, 69.042251, 70.274353, 72.462719, 82.812696, 90.056475, 96.657400, 101.229522, 569.774040], [82.582300, 86.576176, 87.834288, 89.497965, 98.525920, 100.804771, 112.224315, 123.020724, 126.018129, 630.225886], [19.110029, 20.302396, 21.637583, 22.957643, 24.549310, 26.378630, 30.820136, 32.418199, 34.250558, 127.624990]]
### 6
fourier: [[55.366646, 59.843068, 60.947028, 63.004694, 65.268547, 73.528486, 80.589164, 83.579607, 93.601119, 438.465481], [137.325946, 148.635954, 155.345365, 159.635353, 163.881262, 183.797469, 200.327217, 207.935013, 235.306139, 1203.872234], [76.640443, 82.378388, 84.248408, 87.030579, 90.045065, 101.663683, 111.572341, 115.120193, 128.778230, 599.578881], [108.668902, 118.799258, 126.089647, 128.357188, 130.824125, 146.804954, 158.282284, 165.456249, 187.934443, 985.657016], [124.660864, 135.556634, 141.213798, 144.451817, 148.539537, 166.589376, 181.608624, 188.896976, 213.101259, 1131.250233], [54.943699, 59.797449, 63.456317, 64.387688, 65.700032, 74.125567, 79.591026, 83.204484, 93.948303, 537.964570], [92.483329, 99.869075, 102.467519, 105.417105, 109.037821, 122.813196, 134.414283, 139.338047, 156.007234, 725.182879], [70.231739, 75.456774, 80.203991, 82.326284, 83.984671, 94.393223, 102.594921, 105.881555, 120.360579, 670.100803]]
### 8
fourier: [[95.541139, 102.996396, 104.947108, 108.211741, 112.650624, 126.980461, 139.350505, 143.982859, 161.020116, 733.757369], [31.433475, 33.474385, 33.894513, 33.897350, 35.816376, 39.873437, 45.315176, 46.768915, 49.431872, 320.048899], [115.970922, 124.909918, 127.308945, 130.803052, 136.436029, 153.602660, 169.077131, 174.640700, 194.294397, 902.131806], [134.956096, 145.412143, 148.068749, 152.477071, 159.024284, 179.182882, 196.929073, 203.363212, 226.903856, 1016.227141], [49.200331, 53.101045, 54.136906, 55.911906, 58.178532, 65.617291, 71.836574, 74.240516, 83.338289, 378.635823], [85.031898, 91.769367, 93.707368, 96.861891, 100.850104, 113.889957, 124.484069, 128.461782, 144.453177, 634.180490], [135.391711, 145.745858, 148.570479, 152.464190, 159.091572, 179.025603, 197.303901, 203.769700, 226.295578, 1019.605287], [147.286754, 158.522160, 161.341140, 165.732659, 173.003150, 194.748177, 214.661744, 221.664786, 246.129070, 1149.187813]]
### 10
fourier: [[282.705930, 303.986522, 308.285912, 315.802597, 331.678535, 372.728988, 412.348153, 425.233760, 470.588422, 2156.051309], [215.270455, 231.326061, 234.542844, 239.781132, 252.183126, 283.227463, 313.997497, 323.656810, 357.088933, 1605.944895], [327.331774, 351.690392, 356.507077, 364.513704, 383.400088, 430.715779, 477.521128, 492.133306, 542.819532, 2486.181188], [394.945626, 424.351812, 430.760413, 440.039902, 462.721074, 519.847492, 576.410579, 593.866381, 654.953838, 2900.936510], [256.412918, 275.679721, 279.384456, 286.303180, 300.787539, 338.137687, 374.106550, 385.716881, 426.770177, 1957.675694], [376.300610, 404.804961, 410.681362, 421.069424, 441.884130, 496.696826, 548.919769, 566.200737, 627.698804, 2784.255051], [400.156846, 430.268133, 436.357476, 446.612949, 469.213743, 527.078783, 583.726150, 601.945899, 665.477396, 2967.581562], [542.927072, 583.215386, 591.256992, 603.929181, 635.528348, 713.758998, 792.062105, 816.155932, 898.995223, 4044.484644]]
### 12
fourier: [[521.436973, 562.965162, 569.510740, 590.839655, 615.314864, 694.508809, 760.660227, 787.542306, 880.524049, 3842.095600]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [521.4369730130128, 562.9651622031338, 569.5107402664001, 590.8396550955367, 615.3148641789675, 694.5088092059825, 760.6602271442412, 787.5423060343959, 880.5240487852077, 3842.095600247383]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_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"}}
|
{"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": [[0.33113, -0.590719, -0.312394, -0.532012, -0.25042], [0.569745, -1.376306, 0.374618, -1.106693, 0.483595], [-0.634833, -0.437323, -0.339738, 0.176618, 0.980061], [0.45104, 0.347417, 0.925011, -0.667895, -0.65569], [-1.09195, -0.262546, 0.630099, 0.035432, 0.461623], [0.058735, -0.124859, 0.698695, 0.211805, 0.15723], [-0.492993, -0.678166, 0.022831, 0.487708, 0.38763], [0.331431, -0.554395, 1.203358, 0.601306, 0.575844]], "network.0.bias": [-0.752772, -0.411479, -0.511607, -0.107414, 0.437109, -0.323936, -0.062131, -0.16112], "network.2.weight": [[0.608757, 0.154861, -0.991139, -0.660308, -0.411417, -0.183764, -0.428233, -0.708362], [0.386467, -0.670572, -0.317481, -0.108921, -0.340168, -0.232562, -0.07211, -0.438492], [-0.502648, -0.668983, 1.708106, 0.634082, 0.727405, 0.269107, 0.882381, 0.441682], [-0.556339, -0.861596, 1.254462, 0.301947, 0.898264, 0.165318, 1.34587, 0.306151], [-0.024243, 1.076135, -0.606395, -0.240367, -0.137652, 0.213662, -1.135131, -0.141265], [-0.154604, -0.425971, -1.215492, -1.585109, -0.749853, -0.643467, -0.90526, -0.700063], [-0.704581, -0.929743, 0.129202, 0.725915, -0.370526, -0.657283, -0.094446, -0.821263], [-0.062355, -0.476142, -1.229784, -0.525779, -1.067966, -1.323941, -0.800823, -0.788973]], "network.2.bias": [-0.698711, -0.449202, -0.168309, -0.036444, 0.116646, -1.044858, 0.516922, -1.009384], "network.4.weight": [[0.935559, 0.410056, -0.901539, -0.663459, -0.589453, -0.064605, -0.333315, -0.14075], [0.529785, 0.622743, -0.474366, -0.938059, -0.130211, 0.644016, -0.664362, 1.18394], [-0.711118, 0.306962, -0.224978, -0.542287, -0.084606, -0.677724, 0.111336, 0.368089], [0.041605, -0.0931, 0.510008, 0.741349, -0.679744, -0.217596, 0.646779, -0.357624], [-0.117236, -0.185446, 0.339303, 1.005516, -0.471363, -0.193619, 0.524745, 0.051776], [0.688315, 0.614285, -0.678334, -0.593983, 0.178038, 0.68618, -0.700415, 1.102723], [0.012244, 0.432985, -0.827859, -0.753756, -0.635815, -0.330013, 0.226201, -0.332755], [-1.126287, -0.36561, -0.586533, 0.262179, -0.231181, -0.355415, -0.008204, 0.371327]], "network.4.bias": [-0.457539, -0.706138, -0.454841, 0.34246, 0.414896, -0.799043, -0.31059, 0.28263], "network.6.weight": [[0.11753, 0.218917, 0.02344, 0.400954, 0.460333, 0.489605, -0.514089, -0.145736], [0.156369, 0.142956, 0.624107, -0.777878, -1.38427, 0.649007, 0.664914, -0.253089], [-0.358054, 0.515142, 0.390998, 0.526163, 0.660437, 0.042233, -0.214556, -0.351282], [1.187445, 1.344482, 1.28554, -0.988884, -0.777078, 1.292382, -0.513624, -0.668592], [0.979943, 0.904794, 0.867829, -1.028549, -0.959399, 1.151677, 0.318791, 0.075054], [0.333485, 0.69897, -0.079722, -0.609479, -0.281059, 0.66145, -0.220097, -0.477644], [-0.253193, 0.400535, 0.351677, 0.743527, 0.703115, -0.272627, -0.67558, -0.233094], [0.054019, 0.206825, 0.082684, -0.257676, -0.841979, 0.866753, -0.384501, -0.34568]], "network.6.bias": [0.024013, -1.025566, -0.022703, -0.835819, -1.228713, -0.943726, -0.094005, -1.13224], "network.8.weight": [[-0.133066, 1.175939, 0.515242, -0.311908, 0.729584, 0.215585, 0.680485, 0.539885], [-0.183012, 0.787277, -0.086116, 0.677389, 0.371065, 0.655021, -0.152131, 1.231125], [0.405709, 0.610275, 0.447848, 0.14433, 0.969642, -0.260536, 0.632007, -0.136783], [0.155862, 0.687479, 0.713832, 0.480068, 0.152234, 0.298632, 0.765393, 1.045839], [-0.033509, 0.529627, 0.233537, 0.340984, 0.053108, 0.086664, 0.356346, 0.635868], [-0.693783, -1.017132, -0.434367, -0.742522, -1.52613, -0.205659, -0.141107, -0.197054], [0.33307, 0.196601, 0.576906, 0.292033, 1.072553, -0.386533, 0.776798, -0.277747], [0.22526, 0.962784, 0.751218, -0.234625, 0.170249, 0.334669, 0.823404, -0.266277]], "network.8.bias": [-0.058328, -0.816457, 0.016447, -0.311284, -0.019777, 0.287494, -0.355296, 0.088431], "network.10.weight": [[0.318573, 0.285249, 0.482309, 0.33052, 0.525341, -0.475023, 0.206633, 0.653942], [-0.014697, 0.205302, 0.440537, 0.508829, 0.23946, -0.179792, 0.211825, 0.374188], [-0.855426, -0.403764, -0.010062, -0.539124, -0.366922, 0.245486, -0.339798, -0.715521], [0.974949, 0.246847, 0.209896, 0.969689, 0.425745, -0.668003, 1.126636, -0.199333], [-1.134148, -0.435838, -0.05199, -0.250066, -0.354471, 0.407388, 0.015819, -0.619818], [-0.502352, -0.450574, -0.817363, -0.40423, -0.602423, 0.947052, -0.436445, -0.599969], [-0.197758, -0.216906, -1.150779, -0.986785, -0.020533, 0.622935, -0.329926, -0.454384], [-0.855486, -0.558504, -0.781956, -0.944342, -0.383221, 0.193023, -0.899961, -0.669528]], "network.10.bias": [-0.063661, -0.367298, 0.041318, -0.775576, 0.020495, 0.985349, 0.916199, 0.86784], "network.12.weight": [[-0.496477, -0.524453, -0.220616, -0.684487, -0.135995, 0.909873, 0.643616, 1.002237]], "network.12.bias": [0.387478]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.69510617852211, "train_acc": 0.475, "val_loss": 0.7222974896430969, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6709112823009491, "train_acc": 0.585, "val_loss": 0.7602947950363159, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6777372062206268, "train_acc": 0.585, "val_loss": 0.7545289397239685, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6434753835201263, "train_acc": 0.585, "val_loss": 0.6353486776351929, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6294609308242798, "train_acc": 0.6, "val_loss": 0.6928324699401855, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6036142110824585, "train_acc": 0.68, "val_loss": 0.5150207281112671, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.45513343811035156, "train_acc": 0.825, "val_loss": 0.3468382954597473, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3112363889813423, "train_acc": 0.865, "val_loss": 0.22523701190948486, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.16812488436698914, "train_acc": 0.945, "val_loss": 0.1439959853887558, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.11808930337429047, "train_acc": 0.955, "val_loss": 0.06633403897285461, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.07213588245213032, "train_acc": 0.97, "val_loss": 0.053067464381456375, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.07120873592793941, "train_acc": 0.97, "val_loss": 0.15091119706630707, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.06187823601067066, "train_acc": 0.985, "val_loss": 0.1644086092710495, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.047085643745958805, "train_acc": 0.99, "val_loss": 0.08165989071130753, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7222974896430969, "final_val_loss": 0.6353486776351929, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6928324699401855, "final_val_loss": 0.08165989071130753, "initial_val_acc": 0.62, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 13}, "improvement": 0.54, "first_improvement_epoch": 3}}
|
274
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7113, "learning_rate": 0.0888759850920464, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[29.523151, 31.212687, 32.046025, 33.402324, 38.431520, 39.169999, 39.593653, 42.113910, 45.194416, 275.147238], [29.429812, 32.541049, 32.694188, 35.568085, 36.234174, 36.279766, 40.026408, 41.876024, 46.107578, 168.242509], [44.511483, 45.841907, 47.294817, 47.966275, 49.264468, 49.694390, 50.423472, 60.199717, 64.082831, 539.519942], [29.975908, 31.872609, 32.612994, 33.241414, 34.312789, 36.810179, 39.006276, 40.673982, 42.636521, 48.044185], [41.240294, 45.308446, 45.610420, 47.468104, 50.108926, 50.907937, 51.942581, 61.254115, 61.670270, 124.073104]]
### 2
fourier: [[33.758970, 35.476824, 37.472841, 40.976497, 40.979447, 43.429460, 46.363327, 49.425310, 49.781466, 50.192489], [54.256564, 56.663032, 57.862110, 58.207322, 59.822270, 63.025656, 63.446166, 72.213575, 77.683811, 162.740269], [35.275079, 38.113461, 40.407219, 42.952141, 43.110357, 44.369524, 47.450204, 49.391909, 53.468579, 55.905184], [34.657855, 36.128423, 42.810871, 43.219771, 44.187595, 48.976634, 56.622427, 58.841922, 64.585856, 336.325850], [37.839107, 39.499450, 43.073545, 47.961168, 48.097915, 50.900255, 56.403154, 57.795956, 62.108440, 308.347256]]
### 4
fourier: [[45.876157, 50.605739, 51.358949, 53.734081, 56.726644, 59.448912, 60.067645, 64.255068, 67.922285, 165.508929], [77.167360, 80.605569, 82.854526, 86.072544, 87.624271, 91.091130, 94.927079, 107.089168, 111.238487, 279.462713], [40.936922, 41.490777, 43.393750, 45.084060, 46.812817, 47.900783, 54.804893, 57.131474, 76.472996, 301.408299], [18.932277, 19.374907, 19.618309, 20.488184, 20.769630, 22.637109, 22.739493, 26.617370, 26.841481, 74.671752], [5.554498, 6.076086, 6.227822, 6.401748, 6.575720, 7.279053, 7.844483, 7.979715, 10.284107, 51.910606]]
### 6
fourier: [[122.317577, 124.959428, 132.963214, 140.074694, 140.914994, 167.941993, 179.688816, 189.580588, 191.768490, 554.958430], [72.585211, 74.963419, 79.591012, 84.268154, 84.629493, 99.786023, 107.210624, 113.327807, 114.331538, 293.014681], [81.461771, 83.698942, 90.467347, 94.763102, 95.034567, 112.047139, 120.455362, 127.761474, 129.123453, 346.733157], [39.021995, 39.866418, 41.335125, 44.043579, 44.676023, 53.468432, 57.195238, 59.874282, 60.209375, 210.357416], [106.674079, 108.860379, 116.487663, 122.543943, 122.836943, 146.502638, 156.958090, 165.767321, 167.456170, 464.890298]]
### 8
fourier: [[173.593989, 176.835400, 188.962183, 199.105226, 199.128258, 238.792353, 255.081259, 268.221474, 272.698699, 748.096068]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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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}
## Activation Signature
### 0
fourier: [[29.523151, 31.212687, 32.046025, 33.402324, 38.431520, 39.169999, 39.593653, 42.113910, 45.194416, 275.147238], [29.429812, 32.541049, 32.694188, 35.568085, 36.234174, 36.279766, 40.026408, 41.876024, 46.107578, 168.242509], [44.511483, 45.841907, 47.294817, 47.966275, 49.264468, 49.694390, 50.423472, 60.199717, 64.082831, 539.519942], [29.975908, 31.872609, 32.612994, 33.241414, 34.312789, 36.810179, 39.006276, 40.673982, 42.636521, 48.044185], [41.240294, 45.308446, 45.610420, 47.468104, 50.108926, 50.907937, 51.942581, 61.254115, 61.670270, 124.073104]]
### 2
fourier: [[33.758970, 35.476824, 37.472841, 40.976497, 40.979447, 43.429460, 46.363327, 49.425310, 49.781466, 50.192489], [54.256564, 56.663032, 57.862110, 58.207322, 59.822270, 63.025656, 63.446166, 72.213575, 77.683811, 162.740269], [35.275079, 38.113461, 40.407219, 42.952141, 43.110357, 44.369524, 47.450204, 49.391909, 53.468579, 55.905184], [34.657855, 36.128423, 42.810871, 43.219771, 44.187595, 48.976634, 56.622427, 58.841922, 64.585856, 336.325850], [37.839107, 39.499450, 43.073545, 47.961168, 48.097915, 50.900255, 56.403154, 57.795956, 62.108440, 308.347256]]
### 4
fourier: [[45.876157, 50.605739, 51.358949, 53.734081, 56.726644, 59.448912, 60.067645, 64.255068, 67.922285, 165.508929], [77.167360, 80.605569, 82.854526, 86.072544, 87.624271, 91.091130, 94.927079, 107.089168, 111.238487, 279.462713], [40.936922, 41.490777, 43.393750, 45.084060, 46.812817, 47.900783, 54.804893, 57.131474, 76.472996, 301.408299], [18.932277, 19.374907, 19.618309, 20.488184, 20.769630, 22.637109, 22.739493, 26.617370, 26.841481, 74.671752], [5.554498, 6.076086, 6.227822, 6.401748, 6.575720, 7.279053, 7.844483, 7.979715, 10.284107, 51.910606]]
### 6
fourier: [[122.317577, 124.959428, 132.963214, 140.074694, 140.914994, 167.941993, 179.688816, 189.580588, 191.768490, 554.958430], [72.585211, 74.963419, 79.591012, 84.268154, 84.629493, 99.786023, 107.210624, 113.327807, 114.331538, 293.014681], [81.461771, 83.698942, 90.467347, 94.763102, 95.034567, 112.047139, 120.455362, 127.761474, 129.123453, 346.733157], [39.021995, 39.866418, 41.335125, 44.043579, 44.676023, 53.468432, 57.195238, 59.874282, 60.209375, 210.357416], [106.674079, 108.860379, 116.487663, 122.543943, 122.836943, 146.502638, 156.958090, 165.767321, 167.456170, 464.890298]]
### 8
fourier: [[173.593989, 176.835400, 188.962183, 199.105226, 199.128258, 238.792353, 255.081259, 268.221474, 272.698699, 748.096068]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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50.10892567318997, 50.90793708982184, 51.94258124336909, 61.254114818522176, 61.670269978148056, 124.07310440391302]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [33.75897037207816, 35.47682384991751, 37.47284149707163, 40.976497073090485, 40.97944659029043, 43.4294602267165, 46.363327023140286, 49.42531032138245, 49.781465906706565, 50.19248897164584]}, "1": {"fourier": [54.2565636832362, 56.66303212183457, 57.86210960573783, 58.20732152508968, 59.822269536373796, 63.02565622712103, 63.44616631658344, 72.21357509420552, 77.68381100934003, 162.74026882648468]}, "2": {"fourier": [35.27507919287495, 38.113460990663064, 40.407218821520665, 42.95214113873513, 43.11035743595426, 44.369524160081944, 47.45020436874927, 49.39190887492005, 53.46857919261639, 55.90518433641331]}, "3": {"fourier": [34.6578548303962, 36.12842277522122, 42.81087107342283, 43.21977117982787, 44.1875950236109, 48.97663408103521, 56.622427044818224, 58.841922338262215, 64.58585646650627, 336.3258500099182]}, "4": {"fourier": [37.83910748707319, 39.49945007218037, 43.07354497493638, 47.961168356197284, 48.09791479889051, 50.90025462755836, 56.40315382518816, 57.79595551963769, 62.10844046115794, 308.3472558259964]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [45.87615712554416, 50.60573862072486, 51.35894903835759, 53.734080706329024, 56.726643925570514, 59.44891210670578, 60.06764495071129, 64.25506816939398, 67.9222846247469, 165.50892865657806]}, "1": {"fourier": [77.16736031446095, 80.60556912476903, 82.85452619255068, 86.07254355130723, 87.6242711736606, 91.09113039082504, 94.92707882115961, 107.08916830220238, 111.23848740746824, 279.46271312236786]}, "2": {"fourier": [40.9369222347635, 41.49077721591631, 43.393750146692774, 45.084059925389184, 46.812816813172205, 47.900783295179, 54.80489251477462, 57.13147383981832, 76.4729955760321, 301.40829902887344]}, "3": {"fourier": [18.932276860508434, 19.374907275113788, 19.61830939271499, 20.488183961179814, 20.769630229038132, 22.63710921667594, 22.739492817124805, 26.617370105302463, 26.841480697501847, 74.67175225913525]}, "4": {"fourier": [5.554497986094317, 6.076086369519698, 6.227822067285677, 6.401748311986209, 6.575719826424678, 7.279053194572963, 7.8444828802147475, 7.97971547657431, 10.284106944702366, 51.91060630977154]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [122.31757720658129, 124.95942757321734, 132.96321447337488, 140.07469442562478, 140.91499400800893, 167.9419931330046, 179.68881630422393, 189.58058770861211, 191.76848996553787, 554.9584302902222]}, "1": {"fourier": [72.58521101021579, 74.96341913083089, 79.59101236200055, 84.26815408046586, 84.6294927423245, 99.78602312181756, 107.21062403826645, 113.32780679797969, 114.33153833751848, 293.01468056440353]}, "2": {"fourier": [81.46177111849312, 83.69894196974468, 90.46734666617, 94.76310221016655, 95.03456713936951, 112.04713947489567, 120.45536201629511, 127.76147353965803, 129.12345283201174, 346.73315715789795]}, "3": {"fourier": [39.021994552654284, 39.86641825294347, 41.33512489161801, 44.04357931478982, 44.676022989240415, 53.46843157879717, 57.19523795827745, 59.87428196814604, 60.20937540114862, 210.35741558670998]}, "4": {"fourier": [106.67407920877427, 108.86037880664004, 116.48766260916211, 122.54394322445627, 122.83694275996437, 146.50263821192095, 156.95808965792526, 165.7673208345662, 167.45617039333294, 464.890298306942]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [173.5939889246492, 176.83539959271096, 188.96218302007594, 199.10522577773207, 199.12825800909144, 238.79235305515385, 255.0812587579574, 268.2214737154242, 272.69869899606243, 748.0960679650307]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[0.332272, -0.919835, -0.360191, -0.545998, 0.220801], [-0.701768, 0.046338, 0.140687, 0.157554, 1.176102], [-0.270463, -0.02679, -1.335441, -0.900169, -0.171538], [0.928337, 0.460927, -0.70336, -0.365739, 0.054136], [1.457033, 0.102205, 0.154398, 0.163155, -0.899273]], "network.0.bias": [-0.143603, 0.575962, -0.677758, -0.342219, -0.184141], "network.2.weight": [[-0.473167, 0.627873, 1.350977, -0.280068, -0.644288], [-0.725372, -0.508276, -0.54402, 1.056635, 0.807675], [-0.229702, 0.472208, 0.80802, -0.837266, -0.522482], [0.309893, -1.447931, -0.408974, -0.306482, 0.082508], [0.165757, -1.397481, -0.163453, 0.269582, 0.056147]], "network.2.bias": [0.358599, 0.726966, 0.522386, -0.769763, -0.854477], "network.4.weight": [[-0.4309, 0.841575, -0.39335, -0.530156, -0.856872], [-0.499122, 1.437002, -0.32806, -0.257355, -0.743563], [-1.04275, 0.055599, -1.221371, -0.016268, 0.778427], [-0.319451, 0.350894, 0.232047, -0.241997, 0.045144], [-0.520414, 0.00495, 0.290817, -0.177248, 0.019549]], "network.4.bias": [0.886729, 0.894192, -1.222992, 0.18319, -0.318709], "network.6.weight": [[0.950044, 1.017374, -1.176498, 0.852483, 0.529323], [-0.79557, -0.564818, -0.42553, -0.155549, -0.165769], [-0.534761, -0.674152, -0.060389, -0.874696, -0.280549], [-0.327341, -0.494952, 0.402677, 0.486144, -0.253004], [0.569066, 1.072947, -1.022949, 0.631851, 0.459058]], "network.6.bias": [-0.108437, 0.531854, 0.322354, -0.305751, -0.298083], "network.8.weight": [[-0.819255, 0.495045, 0.417974, -0.374961, -0.684944]], "network.8.bias": [0.247191]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6988456845283508, "train_acc": 0.435, "val_loss": 0.7096731066703796, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6786060333251953, "train_acc": 0.575, "val_loss": 0.7145578265190125, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6424011588096619, "train_acc": 0.575, "val_loss": 0.6714392304420471, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6174018383026123, "train_acc": 0.51, "val_loss": 0.5787575244903564, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5284956395626068, "train_acc": 0.715, "val_loss": 0.48778828978538513, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4797168970108032, "train_acc": 0.75, "val_loss": 0.4848569631576538, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.48933108150959015, "train_acc": 0.76, "val_loss": 0.4817318320274353, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4621513932943344, "train_acc": 0.76, "val_loss": 0.4422101080417633, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4916740655899048, "train_acc": 0.755, "val_loss": 0.49146804213523865, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.49529752135276794, "train_acc": 0.755, "val_loss": 0.5638861656188965, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4682716131210327, "train_acc": 0.76, "val_loss": 0.4704956114292145, "val_acc": 0.78}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7096731066703796, "final_val_loss": 0.6714392304420471, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5787575244903564, "final_val_loss": 0.4704956114292145, "initial_val_acc": 0.68, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.34, "first_improvement_epoch": 2}}
|
275
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4373, "learning_rate": 0.024043940896453994, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[17.913415, 18.064498, 18.612900, 20.982961, 22.059594, 22.274547, 23.981691, 24.654444, 25.185262, 27.334568], [16.009619, 16.058689, 16.434540, 17.813403, 18.156917, 22.895671, 24.932936, 28.175186, 31.948689, 71.100360], [25.895013, 27.239382, 27.871862, 29.777671, 29.827663, 30.414861, 31.120923, 32.898406, 34.027374, 312.733434], [25.647583, 26.035409, 27.175269, 28.647932, 28.653093, 30.429852, 34.318023, 34.870674, 36.590118, 138.322476], [30.394476, 31.778209, 31.830580, 32.326525, 33.254957, 34.137166, 39.554845, 42.273801, 46.284054, 94.622788], [27.528376, 27.797761, 28.567606, 29.326669, 29.561906, 30.452946, 30.778858, 32.582676, 33.755034, 68.718062], [25.084066, 25.359122, 25.577324, 27.692388, 32.319943, 32.805692, 32.855574, 37.629294, 38.108432, 156.164102]]
### 2
fourier: [[17.545677, 18.080572, 20.131041, 21.952804, 22.108363, 23.936387, 24.085525, 25.076184, 25.423989, 112.448643], [38.999316, 42.023106, 42.982230, 47.260802, 50.673216, 52.638617, 52.946316, 53.124886, 54.266910, 269.721953], [8.947067, 8.952797, 9.124366, 10.894374, 12.476213, 12.986798, 13.620169, 15.452311, 17.971917, 29.320468], [24.762290, 24.871424, 25.350480, 27.983458, 30.400116, 32.250205, 33.208394, 33.653147, 37.408042, 168.354323], [20.981530, 21.721040, 23.052050, 24.031191, 26.391248, 27.357214, 28.664136, 29.823851, 30.607808, 154.799465], [9.048386, 9.147072, 9.690285, 9.809910, 10.188194, 12.407236, 13.023686, 13.507359, 15.810339, 17.447746], [12.661797, 12.923419, 12.970185, 13.304587, 13.907946, 15.673416, 16.051296, 19.664620, 21.303940, 83.216319]]
### 4
fourier: [[40.969068, 44.759532, 44.904985, 48.967401, 51.926152, 57.712411, 58.737387, 60.778372, 63.997444, 312.456525], [5.499563, 5.716736, 6.191817, 6.307833, 6.433525, 6.522007, 7.231224, 7.375364, 8.897928, 57.606814], [14.662626, 14.913639, 15.651076, 17.071401, 17.492494, 17.771743, 18.887016, 20.960477, 22.665113, 44.345271], [42.934446, 46.596421, 46.802342, 54.135291, 56.043804, 58.395348, 59.743738, 61.788453, 62.789615, 278.652726], [16.292415, 17.502220, 17.524607, 19.625564, 22.119235, 22.497042, 22.965178, 23.109804, 24.321338, 104.529593], [5.558072, 5.769082, 6.081153, 6.087425, 6.456293, 7.298100, 7.682093, 7.712327, 9.561299, 60.459899], [14.463599, 15.009282, 16.753869, 17.697963, 20.084087, 20.326287, 20.420637, 20.626403, 21.678502, 139.354579]]
### 6
fourier: [[13.354872, 13.744629, 13.926738, 16.455244, 16.705615, 17.547389, 18.520621, 18.675242, 19.765948, 61.704373], [53.840709, 53.891564, 56.828140, 64.101817, 66.528595, 71.323432, 72.971654, 75.420634, 78.605448, 357.624980], [23.636854, 24.012189, 25.388005, 27.851852, 29.577379, 31.905342, 32.020130, 33.703412, 34.812601, 154.416768], [30.285025, 31.405694, 32.082091, 36.630737, 37.397276, 41.195221, 42.171583, 43.007469, 45.736823, 144.599724], [44.229195, 44.998847, 46.328628, 53.991620, 54.540848, 58.460561, 60.886127, 61.627199, 64.940051, 297.168124], [41.798462, 42.085532, 43.853943, 50.394358, 51.473084, 55.236191, 57.114774, 58.293786, 61.228421, 288.164712], [2.053396, 2.138892, 2.181351, 2.212961, 2.213314, 2.256445, 2.432210, 2.555967, 2.860576, 2.880085]]
### 8
fourier: [[69.596250, 70.328576, 73.357887, 84.250017, 85.848871, 92.295632, 95.624892, 97.252910, 102.119236, 465.488467], [26.032192, 26.468123, 27.195825, 31.394379, 31.806818, 35.445289, 35.604733, 36.631580, 37.689698, 125.140228], [5.700414, 5.940006, 6.729019, 6.782651, 7.280931, 7.410996, 7.760171, 8.037824, 8.107146, 15.720146], [14.655311, 14.979943, 15.091440, 17.694067, 17.734190, 20.080640, 20.208546, 20.384208, 21.131319, 113.001721], [44.560201, 44.741882, 47.119087, 53.172121, 55.075627, 57.601214, 60.337424, 62.280816, 65.318542, 296.400642], [47.507562, 47.665692, 50.242510, 56.750147, 58.724212, 62.161099, 64.401085, 66.473997, 69.501913, 321.555218], [84.373837, 85.594354, 88.984395, 102.694008, 104.345888, 112.995592, 116.791854, 118.140038, 124.184490, 582.083045]]
### 10
fourier: [[58.536322, 58.585801, 61.929328, 69.891300, 72.279404, 75.879555, 79.295971, 81.855996, 85.709261, 430.781473], [13.574089, 13.687665, 14.367148, 16.125089, 16.803129, 17.589862, 18.282746, 18.995509, 19.860305, 117.151874], [120.012551, 122.514899, 126.942597, 147.361021, 149.101339, 160.829188, 167.456907, 168.251640, 177.696378, 822.600410], [42.806592, 43.081959, 43.348474, 51.265849, 51.911203, 56.935414, 57.649713, 58.929070, 61.354186, 223.809183], [21.258063, 21.300370, 22.438515, 25.047796, 26.092947, 28.090150, 28.570824, 29.608960, 30.180311, 85.441340], [9.862801, 10.378246, 10.415754, 11.826594, 11.860718, 12.942277, 12.997991, 13.534282, 14.275986, 14.363282], [101.407193, 103.804690, 107.327715, 124.979583, 126.105450, 136.400745, 141.942748, 142.286814, 150.369599, 693.025512]]
### 12
fourier: [[116.003462, 116.965914, 117.159264, 139.022149, 141.757268, 154.228439, 155.774028, 161.164288, 166.531503, 743.955408]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[17.913415, 18.064498, 18.612900, 20.982961, 22.059594, 22.274547, 23.981691, 24.654444, 25.185262, 27.334568], [16.009619, 16.058689, 16.434540, 17.813403, 18.156917, 22.895671, 24.932936, 28.175186, 31.948689, 71.100360], [25.895013, 27.239382, 27.871862, 29.777671, 29.827663, 30.414861, 31.120923, 32.898406, 34.027374, 312.733434], [25.647583, 26.035409, 27.175269, 28.647932, 28.653093, 30.429852, 34.318023, 34.870674, 36.590118, 138.322476], [30.394476, 31.778209, 31.830580, 32.326525, 33.254957, 34.137166, 39.554845, 42.273801, 46.284054, 94.622788], [27.528376, 27.797761, 28.567606, 29.326669, 29.561906, 30.452946, 30.778858, 32.582676, 33.755034, 68.718062], [25.084066, 25.359122, 25.577324, 27.692388, 32.319943, 32.805692, 32.855574, 37.629294, 38.108432, 156.164102]]
### 2
fourier: [[17.545677, 18.080572, 20.131041, 21.952804, 22.108363, 23.936387, 24.085525, 25.076184, 25.423989, 112.448643], [38.999316, 42.023106, 42.982230, 47.260802, 50.673216, 52.638617, 52.946316, 53.124886, 54.266910, 269.721953], [8.947067, 8.952797, 9.124366, 10.894374, 12.476213, 12.986798, 13.620169, 15.452311, 17.971917, 29.320468], [24.762290, 24.871424, 25.350480, 27.983458, 30.400116, 32.250205, 33.208394, 33.653147, 37.408042, 168.354323], [20.981530, 21.721040, 23.052050, 24.031191, 26.391248, 27.357214, 28.664136, 29.823851, 30.607808, 154.799465], [9.048386, 9.147072, 9.690285, 9.809910, 10.188194, 12.407236, 13.023686, 13.507359, 15.810339, 17.447746], [12.661797, 12.923419, 12.970185, 13.304587, 13.907946, 15.673416, 16.051296, 19.664620, 21.303940, 83.216319]]
### 4
fourier: [[40.969068, 44.759532, 44.904985, 48.967401, 51.926152, 57.712411, 58.737387, 60.778372, 63.997444, 312.456525], [5.499563, 5.716736, 6.191817, 6.307833, 6.433525, 6.522007, 7.231224, 7.375364, 8.897928, 57.606814], [14.662626, 14.913639, 15.651076, 17.071401, 17.492494, 17.771743, 18.887016, 20.960477, 22.665113, 44.345271], [42.934446, 46.596421, 46.802342, 54.135291, 56.043804, 58.395348, 59.743738, 61.788453, 62.789615, 278.652726], [16.292415, 17.502220, 17.524607, 19.625564, 22.119235, 22.497042, 22.965178, 23.109804, 24.321338, 104.529593], [5.558072, 5.769082, 6.081153, 6.087425, 6.456293, 7.298100, 7.682093, 7.712327, 9.561299, 60.459899], [14.463599, 15.009282, 16.753869, 17.697963, 20.084087, 20.326287, 20.420637, 20.626403, 21.678502, 139.354579]]
### 6
fourier: [[13.354872, 13.744629, 13.926738, 16.455244, 16.705615, 17.547389, 18.520621, 18.675242, 19.765948, 61.704373], [53.840709, 53.891564, 56.828140, 64.101817, 66.528595, 71.323432, 72.971654, 75.420634, 78.605448, 357.624980], [23.636854, 24.012189, 25.388005, 27.851852, 29.577379, 31.905342, 32.020130, 33.703412, 34.812601, 154.416768], [30.285025, 31.405694, 32.082091, 36.630737, 37.397276, 41.195221, 42.171583, 43.007469, 45.736823, 144.599724], [44.229195, 44.998847, 46.328628, 53.991620, 54.540848, 58.460561, 60.886127, 61.627199, 64.940051, 297.168124], [41.798462, 42.085532, 43.853943, 50.394358, 51.473084, 55.236191, 57.114774, 58.293786, 61.228421, 288.164712], [2.053396, 2.138892, 2.181351, 2.212961, 2.213314, 2.256445, 2.432210, 2.555967, 2.860576, 2.880085]]
### 8
fourier: [[69.596250, 70.328576, 73.357887, 84.250017, 85.848871, 92.295632, 95.624892, 97.252910, 102.119236, 465.488467], [26.032192, 26.468123, 27.195825, 31.394379, 31.806818, 35.445289, 35.604733, 36.631580, 37.689698, 125.140228], [5.700414, 5.940006, 6.729019, 6.782651, 7.280931, 7.410996, 7.760171, 8.037824, 8.107146, 15.720146], [14.655311, 14.979943, 15.091440, 17.694067, 17.734190, 20.080640, 20.208546, 20.384208, 21.131319, 113.001721], [44.560201, 44.741882, 47.119087, 53.172121, 55.075627, 57.601214, 60.337424, 62.280816, 65.318542, 296.400642], [47.507562, 47.665692, 50.242510, 56.750147, 58.724212, 62.161099, 64.401085, 66.473997, 69.501913, 321.555218], [84.373837, 85.594354, 88.984395, 102.694008, 104.345888, 112.995592, 116.791854, 118.140038, 124.184490, 582.083045]]
### 10
fourier: [[58.536322, 58.585801, 61.929328, 69.891300, 72.279404, 75.879555, 79.295971, 81.855996, 85.709261, 430.781473], [13.574089, 13.687665, 14.367148, 16.125089, 16.803129, 17.589862, 18.282746, 18.995509, 19.860305, 117.151874], [120.012551, 122.514899, 126.942597, 147.361021, 149.101339, 160.829188, 167.456907, 168.251640, 177.696378, 822.600410], [42.806592, 43.081959, 43.348474, 51.265849, 51.911203, 56.935414, 57.649713, 58.929070, 61.354186, 223.809183], [21.258063, 21.300370, 22.438515, 25.047796, 26.092947, 28.090150, 28.570824, 29.608960, 30.180311, 85.441340], [9.862801, 10.378246, 10.415754, 11.826594, 11.860718, 12.942277, 12.997991, 13.534282, 14.275986, 14.363282], [101.407193, 103.804690, 107.327715, 124.979583, 126.105450, 136.400745, 141.942748, 142.286814, 150.369599, 693.025512]]
### 12
fourier: [[116.003462, 116.965914, 117.159264, 139.022149, 141.757268, 154.228439, 155.774028, 161.164288, 166.531503, 743.955408]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.573173, -0.382792, 0.379513, 0.156894, 0.071728], [0.044186, 0.267081, -0.479894, 0.208569, -0.379365], [0.174164, -0.489687, -0.458602, -0.387054, -0.40523], [0.605594, 0.511585, 0.21925, -0.10029, -0.423424], [0.615377, 0.00051, 0.227731, -0.554478, 0.61911], [0.694351, 0.574836, -0.528411, 0.040165, 0.297849], [0.702882, 0.309183, -0.290778, 0.257931, 0.499326]], "network.0.bias": [0.062288, -0.308607, -0.511466, 0.130367, 0.234407, -0.497714, -0.264492], "network.2.weight": [[-0.226379, 0.451647, -0.215416, 0.495986, 0.265168, -0.083549, 0.165259], [-0.538171, 0.376749, 0.067663, 0.706573, 0.524085, 0.364982, 0.297593], [0.052928, -0.225506, 0.157758, -0.168456, -0.485969, -0.121203, 0.349552], [-0.028817, 0.289317, 0.160831, 0.183783, 0.425127, 0.281936, 0.316116], [-0.382292, 0.139682, 0.410537, 0.428095, 0.400754, 0.086696, 0.080584], [0.458265, -0.125028, 0.271504, -0.278188, -0.198424, -0.16738, 0.281537], [-0.096209, 0.479396, 0.343379, -0.336847, 0.404321, 0.174195, 0.228023]], "network.2.bias": [-0.140901, 0.259729, 0.178111, -0.017764, 0.326577, 0.035717, 0.232102], "network.4.weight": [[0.149111, 0.695534, -0.40301, -0.122755, 0.44982, -0.493279, 0.594732], [-0.065833, -0.080896, -0.060432, -0.018942, 0.130299, 0.070377, -0.308746], [-0.173329, -0.131876, 0.158825, 0.130903, -0.45402, 0.122134, 0.055439], [0.585295, 0.542591, -0.281618, 0.418728, 0.175152, -0.154533, -0.18841], [-0.016865, -0.249725, 0.121421, -0.310396, 0.082861, -0.004495, -0.09001], [0.188644, -0.22619, -0.347244, 0.024591, 0.07833, -0.052222, -0.228438], [0.351952, -0.186138, 0.018746, -0.415633, -0.228997, 0.079914, 0.093762]], "network.4.bias": [0.236109, -0.212223, 0.559128, -0.105085, 0.116475, -0.130428, -0.369516], "network.6.weight": [[0.072755, -0.161511, -0.261588, 0.226046, 0.229209, 0.270882, 0.291188], [0.610835, 0.04765, -0.040879, 0.622128, 0.385586, 0.215361, -0.204383], [0.350229, 0.212222, 0.167765, 0.203944, -0.005354, 0.143964, 0.464021], [-0.47666, -0.048248, 0.307038, -0.225087, 0.044334, -0.189661, -0.030709], [0.363119, -0.175445, -0.480011, 0.636847, 0.024762, -0.248593, 0.302604], [0.413865, -0.352128, -0.284976, 0.535296, 0.255274, -0.130829, 0.019893], [0.371389, -0.228918, -0.097836, -0.365985, -0.021617, 0.151324, -0.219574]], "network.6.bias": [-0.22591, -0.078733, -0.16486, 0.697213, 0.142214, 0.146875, -0.104725], "network.8.weight": [[0.433883, 0.411871, 0.181465, -0.385318, 0.414741, 0.452236, 0.111562], [0.374602, -0.410024, -0.107382, 0.631553, -0.275965, 0.163717, -0.214098], [0.205946, -0.135138, 0.292776, 0.596704, 0.140827, -0.312687, -0.063417], [0.231823, -0.186981, -0.315655, 0.35918, 0.016882, -0.007951, -0.020708], [0.219643, 0.169284, -0.12551, 0.339504, 0.417109, 0.415017, 0.135264], [0.055138, 0.198979, 0.45167, 0.182101, 0.403382, 0.181226, -0.016973], [0.060924, 0.503229, 0.457883, -0.568864, 0.510764, 0.548141, 0.1241]], "network.8.bias": [0.118344, 0.458241, 0.159315, -0.225304, -0.101094, 0.023191, 0.257817], "network.10.weight": [[-0.048127, -0.157895, -0.260527, -0.226058, -0.254579, -0.368701, -0.313199], [-0.10437, 0.044881, 0.03781, 0.274729, -0.356474, -0.107917, 0.174215], [0.355319, -0.466691, -0.277294, 0.061373, 0.587095, 0.222523, 0.697041], [-0.512548, 0.508467, 0.39319, 0.062899, 0.034925, -0.175018, 0.015676], [-0.358899, 0.425023, 0.064401, 0.158622, 0.118238, 0.291286, -0.167627], [0.135198, 0.523221, 0.415431, 0.389204, 0.232846, 0.234177, -0.459786], [0.6285, -0.367195, -0.507949, 0.304606, 0.224229, 0.425274, 0.329147]], "network.10.bias": [-0.299247, -0.342242, 0.151996, 0.460302, 0.494996, 0.444819, 0.158254], "network.12.weight": [[-0.11765, 0.014106, -0.579126, 0.481125, 0.299901, 0.636502, -0.406117]], "network.12.bias": [-0.115852]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853730380535126, "train_acc": 0.535, "val_loss": 0.7058032155036926, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6736912131309509, "train_acc": 0.575, "val_loss": 0.7178458571434021, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6637454330921173, "train_acc": 0.575, "val_loss": 0.7088800072669983, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6540943384170532, "train_acc": 0.575, "val_loss": 0.6715552806854248, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6057961583137512, "train_acc": 0.575, "val_loss": 0.59096360206604, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5463912785053253, "train_acc": 0.51, "val_loss": 0.4692029654979706, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.44777102768421173, "train_acc": 0.9, "val_loss": 0.39308401942253113, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.35900330543518066, "train_acc": 0.91, "val_loss": 0.3295292556285858, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.2904305011034012, "train_acc": 0.915, "val_loss": 0.2164851725101471, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.28760991990566254, "train_acc": 0.915, "val_loss": 0.14766034483909607, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.2003845050930977, "train_acc": 0.95, "val_loss": 0.24346861243247986, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.23677530139684677, "train_acc": 0.91, "val_loss": 0.23591716587543488, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.19810514897108078, "train_acc": 0.92, "val_loss": 0.17600946128368378, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7058032155036926, "final_val_loss": 0.59096360206604, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4692029654979706, "final_val_loss": 0.17600946128368378, "initial_val_acc": 0.9, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 9}, "improvement": 0.52, "first_improvement_epoch": 4}}
|
276
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.38, "improved_accuracy": 0.76, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5633, "learning_rate": 0.06873734850545006, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[26.038029, 28.582369, 29.886396, 31.851349, 33.517701, 35.454216, 37.082008, 37.740882, 46.879649, 113.756407], [34.845118, 36.451912, 37.805781, 38.276498, 41.167227, 43.925347, 44.017105, 45.704752, 52.556238, 100.884960], [20.934936, 22.346351, 22.715589, 24.256169, 24.446388, 25.480857, 26.666634, 27.243398, 33.857036, 199.359632], [31.731068, 32.173110, 33.658420, 34.099731, 34.176589, 38.156364, 41.330458, 43.877050, 44.129752, 155.094699], [15.124200, 17.710741, 17.814203, 18.514435, 20.192794, 21.129843, 24.485447, 25.705517, 29.073338, 174.201490], [9.811577, 10.951787, 11.241233, 12.217512, 12.540079, 12.987982, 13.058855, 13.736825, 13.948604, 89.567331], [27.271951, 27.322869, 27.886941, 28.088331, 28.282421, 31.250525, 31.554376, 31.782322, 32.482673, 189.554643]]
### 2
fourier: [[27.996662, 28.232343, 30.143681, 30.683110, 32.452294, 32.466685, 35.432687, 37.390374, 39.395301, 143.324538], [27.339400, 28.486336, 28.828957, 33.768291, 34.341971, 34.708452, 35.507165, 36.395985, 36.945958, 179.867492], [2.147079, 2.274300, 2.312292, 2.388567, 2.452865, 2.818035, 3.336777, 3.581548, 4.097693, 42.960984], [29.866115, 31.133313, 32.766722, 32.901817, 34.525037, 34.628864, 39.230676, 41.610774, 43.004771, 149.304599], [55.146140, 58.153597, 58.756919, 63.375803, 66.408365, 66.766122, 67.121759, 67.747517, 75.955145, 268.326535], [33.238909, 35.450428, 36.142824, 39.674179, 41.524365, 41.644273, 41.691392, 42.470125, 46.449400, 115.524675], [40.835810, 43.202362, 43.797194, 47.478319, 49.860723, 49.944794, 50.148686, 50.893195, 56.535707, 195.502954]]
### 4
fourier: [[41.135798, 43.817194, 45.045391, 46.281072, 46.426435, 48.356666, 52.951291, 57.614645, 59.762101, 264.643963], [58.587587, 59.431200, 64.076502, 70.205470, 71.150471, 71.894020, 74.302417, 74.433726, 82.225202, 341.132295], [82.842568, 84.511080, 91.742678, 99.265556, 100.944349, 102.810984, 105.354830, 106.877801, 117.719793, 467.821730], [75.355342, 75.619367, 82.826732, 90.598732, 91.463375, 93.634922, 95.679514, 97.368987, 106.433075, 346.462857], [62.701986, 63.002931, 68.754419, 75.541559, 76.205317, 77.638551, 79.731353, 80.567373, 88.331650, 286.807128], [101.094810, 101.398922, 111.092854, 121.236245, 122.492739, 125.554199, 128.103506, 130.649203, 142.766786, 479.997493], [73.275200, 73.969618, 80.595324, 88.440332, 88.973012, 91.697149, 93.122672, 95.524723, 103.825779, 341.149708]]
### 6
fourier: [[90.421929, 90.741320, 98.474029, 109.624721, 109.636016, 111.744572, 115.683482, 116.944302, 126.403665, 448.174138], [82.204833, 82.936475, 89.740820, 99.728056, 99.850552, 102.057851, 105.286941, 106.899292, 115.290254, 445.069993], [99.638929, 100.130405, 108.424164, 120.777673, 120.980149, 123.232878, 127.539048, 128.992485, 139.210094, 459.264987], [83.667112, 84.066884, 90.958639, 101.392096, 101.646905, 103.432441, 107.117548, 108.283292, 116.751091, 424.964556], [57.813538, 58.115240, 63.127232, 70.036451, 70.146166, 71.598241, 73.953176, 74.923551, 81.096755, 283.294495], [160.669270, 161.562276, 174.986052, 194.801721, 195.045848, 198.854461, 205.667114, 208.171070, 224.692680, 741.741900], [11.251733, 11.332425, 12.169542, 13.616573, 13.744010, 13.905550, 14.439515, 14.585613, 15.590376, 88.469549]]
### 8
fourier: [[119.381925, 120.129679, 129.239072, 144.469139, 145.624035, 147.422636, 153.120194, 154.554231, 165.613739, 500.366296]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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## Activation Signature
### 0
fourier: [[26.038029, 28.582369, 29.886396, 31.851349, 33.517701, 35.454216, 37.082008, 37.740882, 46.879649, 113.756407], [34.845118, 36.451912, 37.805781, 38.276498, 41.167227, 43.925347, 44.017105, 45.704752, 52.556238, 100.884960], [20.934936, 22.346351, 22.715589, 24.256169, 24.446388, 25.480857, 26.666634, 27.243398, 33.857036, 199.359632], [31.731068, 32.173110, 33.658420, 34.099731, 34.176589, 38.156364, 41.330458, 43.877050, 44.129752, 155.094699], [15.124200, 17.710741, 17.814203, 18.514435, 20.192794, 21.129843, 24.485447, 25.705517, 29.073338, 174.201490], [9.811577, 10.951787, 11.241233, 12.217512, 12.540079, 12.987982, 13.058855, 13.736825, 13.948604, 89.567331], [27.271951, 27.322869, 27.886941, 28.088331, 28.282421, 31.250525, 31.554376, 31.782322, 32.482673, 189.554643]]
### 2
fourier: [[27.996662, 28.232343, 30.143681, 30.683110, 32.452294, 32.466685, 35.432687, 37.390374, 39.395301, 143.324538], [27.339400, 28.486336, 28.828957, 33.768291, 34.341971, 34.708452, 35.507165, 36.395985, 36.945958, 179.867492], [2.147079, 2.274300, 2.312292, 2.388567, 2.452865, 2.818035, 3.336777, 3.581548, 4.097693, 42.960984], [29.866115, 31.133313, 32.766722, 32.901817, 34.525037, 34.628864, 39.230676, 41.610774, 43.004771, 149.304599], [55.146140, 58.153597, 58.756919, 63.375803, 66.408365, 66.766122, 67.121759, 67.747517, 75.955145, 268.326535], [33.238909, 35.450428, 36.142824, 39.674179, 41.524365, 41.644273, 41.691392, 42.470125, 46.449400, 115.524675], [40.835810, 43.202362, 43.797194, 47.478319, 49.860723, 49.944794, 50.148686, 50.893195, 56.535707, 195.502954]]
### 4
fourier: [[41.135798, 43.817194, 45.045391, 46.281072, 46.426435, 48.356666, 52.951291, 57.614645, 59.762101, 264.643963], [58.587587, 59.431200, 64.076502, 70.205470, 71.150471, 71.894020, 74.302417, 74.433726, 82.225202, 341.132295], [82.842568, 84.511080, 91.742678, 99.265556, 100.944349, 102.810984, 105.354830, 106.877801, 117.719793, 467.821730], [75.355342, 75.619367, 82.826732, 90.598732, 91.463375, 93.634922, 95.679514, 97.368987, 106.433075, 346.462857], [62.701986, 63.002931, 68.754419, 75.541559, 76.205317, 77.638551, 79.731353, 80.567373, 88.331650, 286.807128], [101.094810, 101.398922, 111.092854, 121.236245, 122.492739, 125.554199, 128.103506, 130.649203, 142.766786, 479.997493], [73.275200, 73.969618, 80.595324, 88.440332, 88.973012, 91.697149, 93.122672, 95.524723, 103.825779, 341.149708]]
### 6
fourier: [[90.421929, 90.741320, 98.474029, 109.624721, 109.636016, 111.744572, 115.683482, 116.944302, 126.403665, 448.174138], [82.204833, 82.936475, 89.740820, 99.728056, 99.850552, 102.057851, 105.286941, 106.899292, 115.290254, 445.069993], [99.638929, 100.130405, 108.424164, 120.777673, 120.980149, 123.232878, 127.539048, 128.992485, 139.210094, 459.264987], [83.667112, 84.066884, 90.958639, 101.392096, 101.646905, 103.432441, 107.117548, 108.283292, 116.751091, 424.964556], [57.813538, 58.115240, 63.127232, 70.036451, 70.146166, 71.598241, 73.953176, 74.923551, 81.096755, 283.294495], [160.669270, 161.562276, 174.986052, 194.801721, 195.045848, 198.854461, 205.667114, 208.171070, 224.692680, 741.741900], [11.251733, 11.332425, 12.169542, 13.616573, 13.744010, 13.905550, 14.439515, 14.585613, 15.590376, 88.469549]]
### 8
fourier: [[119.381925, 120.129679, 129.239072, 144.469139, 145.624035, 147.422636, 153.120194, 154.554231, 165.613739, 500.366296]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[0.833245, 0.414342, -0.150376, 0.176625, -0.772354], [1.119694, 0.567115, -0.103927, -0.316754, -0.344772], [-0.407704, -0.316214, -0.278392, -0.183418, -0.197272], [0.860083, 0.357149, 0.205487, 0.105491, -0.83952], [-0.130465, -0.288121, -0.072042, -0.017953, -0.564261], [0.034, 0.017826, -0.24581, -0.17108, -0.230365], [-0.566191, -0.515028, -0.220217, 0.044351, 0.043006]], "network.0.bias": [0.359936, 0.01571, 0.086631, 0.382094, -0.363286, 0.094471, -0.151214], "network.2.weight": [[0.424383, 0.226351, -0.07315, 0.403793, -0.06669, 0.055295, -0.248635], [-0.703852, -0.481786, -0.135771, 0.145075, -0.251046, -0.349687, 0.199606], [0.050192, 0.172381, -0.01492, -0.255905, -0.165268, 0.22578, -0.725201], [0.543802, 0.194036, -0.49999, 0.421097, 0.070456, -0.330863, -0.470932], [0.553408, 0.784975, 0.155824, 0.647695, 0.190478, -0.027921, -0.33251], [0.467703, 0.521356, 0.020143, 0.246905, 0.589662, -0.377844, -0.373747], [0.464364, 0.595497, 0.159161, 0.427742, 0.026473, -0.184335, -0.333954]], "network.2.bias": [-0.241308, -0.428341, -0.303331, -0.340855, -0.398932, -0.745833, -0.332788], "network.4.weight": [[-0.811113, 0.118539, -0.317486, -0.917582, -0.517585, 0.292919, 0.658357], [-0.300485, 0.365237, -0.150204, 0.071017, -0.467987, -0.220205, -0.513892], [-0.044572, 0.273428, -0.580596, -0.364107, -1.003608, -0.160016, -0.324438], [0.078148, -0.283985, 0.387573, 0.384481, 0.510555, 0.391056, 0.568432], [-0.078858, -0.230662, -0.148986, 0.338588, 0.524558, 0.35288, 0.399675], [0.191304, -0.478383, 0.266028, 0.493448, 0.722469, 0.488863, 0.696104], [0.516872, 0.032407, -0.095249, 0.209209, 0.508444, 0.540285, 0.236392]], "network.4.bias": [-0.365184, -0.517636, -0.473244, -0.354026, -0.290252, -0.321082, -0.305624], "network.6.weight": [[-0.098476, 0.032137, -0.486885, -0.218242, -0.315723, -0.484413, -0.077462], [-0.024143, -0.42612, -0.088256, -0.2393, 0.073184, -0.334992, -0.482938], [-0.396759, -0.11488, -0.333436, 0.17856, 0.432704, 0.313158, 0.380471], [-0.071233, 0.220083, -0.047233, -0.374879, -0.313638, -0.142719, -0.296567], [-0.055544, -0.093305, -0.043478, 0.161641, -0.195707, -0.467293, -0.147346], [-0.189546, -0.038924, 0.305414, 0.334126, 0.493699, 0.604054, 0.604555], [-9e-06, -0.241489, -0.082395, -0.316748, 0.066392, 0.110376, -0.037788]], "network.6.bias": [-0.162571, -0.555565, -0.184861, -0.296201, -0.044483, -0.302888, -0.401264], "network.8.weight": [[0.127324, 0.010491, -0.317109, 0.141499, -0.0634, -0.547727, 0.026957]], "network.8.bias": [0.639991]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6695472598075867, "train_acc": 0.605, "val_loss": 0.841291606426239, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6308457851409912, "train_acc": 0.605, "val_loss": 0.7777751684188843, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6377043426036835, "train_acc": 0.53, "val_loss": 0.6422242522239685, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5742254257202148, "train_acc": 0.53, "val_loss": 0.6076180338859558, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5573317408561707, "train_acc": 0.73, "val_loss": 0.6072810888290405, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5371484756469727, "train_acc": 0.69, "val_loss": 0.6198609471321106, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5084295123815536, "train_acc": 0.7, "val_loss": 0.563412070274353, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5017869472503662, "train_acc": 0.735, "val_loss": 0.526735246181488, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.49660220742225647, "train_acc": 0.725, "val_loss": 0.5195454955101013, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4858246296644211, "train_acc": 0.74, "val_loss": 0.5380004644393921, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4735603928565979, "train_acc": 0.74, "val_loss": 0.5301346778869629, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5129839032888412, "train_acc": 0.755, "val_loss": 0.47867390513420105, "val_acc": 0.76}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.841291606426239, "final_val_loss": 0.7777751684188843, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6422242522239685, "final_val_loss": 0.47867390513420105, "initial_val_acc": 0.38, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 9}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
277
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2547, "learning_rate": 0.06917360008417699, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[36.396902, 38.338718, 39.442041, 41.673753, 51.185237, 51.228761, 55.631154, 65.194320, 67.734195, 252.506439], [41.660976, 44.524454, 44.538117, 48.064295, 48.913566, 49.050238, 49.117980, 53.014898, 60.769499, 139.904377], [46.909255, 52.619691, 53.094320, 53.875609, 55.396358, 57.277419, 60.278289, 62.498287, 64.187585, 327.741929], [53.804813, 54.750353, 56.113464, 56.987187, 57.112980, 57.179973, 59.116232, 64.060582, 73.734868, 275.984580], [27.620120, 27.905574, 28.826750, 28.900344, 30.135221, 30.176867, 30.871666, 32.708311, 41.861033, 49.322153], [41.654615, 42.072610, 45.239439, 45.951273, 48.039190, 48.820194, 50.192176, 50.365376, 66.716853, 109.019853], [48.625105, 49.815127, 49.825323, 50.056392, 50.265101, 56.960151, 58.440279, 59.950026, 60.191732, 228.146689]]
### 2
fourier: [[107.567546, 110.562675, 121.288524, 128.274683, 130.159102, 133.763945, 139.234543, 140.445049, 141.951968, 786.812044], [25.932604, 26.915279, 27.827545, 29.892510, 30.879219, 31.040260, 33.863255, 37.716128, 39.018107, 244.265583], [65.908665, 67.160447, 71.030220, 74.072020, 79.323405, 82.643148, 83.718649, 87.642064, 88.252225, 431.919000], [81.743372, 81.779623, 89.432570, 96.623031, 96.991675, 101.802947, 106.477361, 108.102044, 119.555503, 529.774223], [23.540139, 23.622444, 23.744980, 24.119831, 24.575384, 26.183111, 29.965002, 29.999275, 31.395935, 84.689186], [55.677822, 59.932103, 65.244311, 66.901941, 67.773691, 67.868817, 71.427983, 81.919410, 88.433545, 300.836723], [75.618213, 77.256546, 77.900202, 85.244633, 91.677832, 96.922006, 97.141663, 104.450808, 118.232306, 564.308984]]
### 4
fourier: [[102.890492, 104.820450, 106.842804, 107.483594, 120.672232, 122.681433, 130.912564, 133.163174, 141.303444, 678.412490], [46.427797, 53.384111, 54.867775, 57.163753, 58.886575, 62.298644, 62.581619, 64.150837, 68.609970, 401.137336], [154.916053, 161.919844, 165.613347, 170.168354, 181.722469, 188.391990, 201.238469, 205.299893, 213.887551, 1117.463591], [78.031971, 89.549497, 89.651644, 95.694296, 97.081002, 97.116508, 104.880957, 107.978243, 112.688088, 635.714209], [119.733780, 120.172830, 126.132701, 129.081447, 138.848651, 150.258661, 151.078255, 151.288045, 163.094180, 826.073522], [160.507685, 182.842943, 185.790948, 187.101959, 200.002818, 214.966424, 217.995114, 218.937978, 219.347951, 1165.568212], [52.071334, 55.242558, 55.814597, 57.931893, 66.450240, 66.673251, 66.955484, 68.398442, 75.677757, 349.534725]]
### 6
fourier: [[72.283325, 81.058888, 83.672505, 85.185414, 90.444345, 94.381718, 98.005848, 99.370509, 99.473957, 538.275802], [210.092459, 227.707085, 231.912889, 241.473160, 248.071737, 267.068267, 279.511629, 282.103882, 290.945458, 1477.704468], [234.950014, 239.797523, 244.027116, 250.290003, 269.770840, 275.659682, 300.880649, 309.846209, 314.767477, 1604.773057], [187.728286, 200.187758, 204.855449, 213.203547, 221.654380, 236.118334, 247.472005, 249.792352, 260.211311, 1289.929152], [172.160367, 185.871433, 187.873340, 194.382248, 203.226512, 214.008356, 230.040747, 235.520271, 237.015771, 1286.169523], [117.831174, 132.369677, 133.780652, 140.192425, 141.798145, 158.193105, 160.552194, 161.120424, 164.066855, 831.489063], [87.301365, 102.674895, 103.400238, 104.240322, 109.050182, 119.232836, 120.048967, 123.893069, 125.594448, 682.158969]]
### 8
fourier: [[345.446969, 372.030440, 376.665115, 391.903347, 408.191754, 431.294170, 460.197106, 469.450839, 477.181832, 2391.419224]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[36.396902, 38.338718, 39.442041, 41.673753, 51.185237, 51.228761, 55.631154, 65.194320, 67.734195, 252.506439], [41.660976, 44.524454, 44.538117, 48.064295, 48.913566, 49.050238, 49.117980, 53.014898, 60.769499, 139.904377], [46.909255, 52.619691, 53.094320, 53.875609, 55.396358, 57.277419, 60.278289, 62.498287, 64.187585, 327.741929], [53.804813, 54.750353, 56.113464, 56.987187, 57.112980, 57.179973, 59.116232, 64.060582, 73.734868, 275.984580], [27.620120, 27.905574, 28.826750, 28.900344, 30.135221, 30.176867, 30.871666, 32.708311, 41.861033, 49.322153], [41.654615, 42.072610, 45.239439, 45.951273, 48.039190, 48.820194, 50.192176, 50.365376, 66.716853, 109.019853], [48.625105, 49.815127, 49.825323, 50.056392, 50.265101, 56.960151, 58.440279, 59.950026, 60.191732, 228.146689]]
### 2
fourier: [[107.567546, 110.562675, 121.288524, 128.274683, 130.159102, 133.763945, 139.234543, 140.445049, 141.951968, 786.812044], [25.932604, 26.915279, 27.827545, 29.892510, 30.879219, 31.040260, 33.863255, 37.716128, 39.018107, 244.265583], [65.908665, 67.160447, 71.030220, 74.072020, 79.323405, 82.643148, 83.718649, 87.642064, 88.252225, 431.919000], [81.743372, 81.779623, 89.432570, 96.623031, 96.991675, 101.802947, 106.477361, 108.102044, 119.555503, 529.774223], [23.540139, 23.622444, 23.744980, 24.119831, 24.575384, 26.183111, 29.965002, 29.999275, 31.395935, 84.689186], [55.677822, 59.932103, 65.244311, 66.901941, 67.773691, 67.868817, 71.427983, 81.919410, 88.433545, 300.836723], [75.618213, 77.256546, 77.900202, 85.244633, 91.677832, 96.922006, 97.141663, 104.450808, 118.232306, 564.308984]]
### 4
fourier: [[102.890492, 104.820450, 106.842804, 107.483594, 120.672232, 122.681433, 130.912564, 133.163174, 141.303444, 678.412490], [46.427797, 53.384111, 54.867775, 57.163753, 58.886575, 62.298644, 62.581619, 64.150837, 68.609970, 401.137336], [154.916053, 161.919844, 165.613347, 170.168354, 181.722469, 188.391990, 201.238469, 205.299893, 213.887551, 1117.463591], [78.031971, 89.549497, 89.651644, 95.694296, 97.081002, 97.116508, 104.880957, 107.978243, 112.688088, 635.714209], [119.733780, 120.172830, 126.132701, 129.081447, 138.848651, 150.258661, 151.078255, 151.288045, 163.094180, 826.073522], [160.507685, 182.842943, 185.790948, 187.101959, 200.002818, 214.966424, 217.995114, 218.937978, 219.347951, 1165.568212], [52.071334, 55.242558, 55.814597, 57.931893, 66.450240, 66.673251, 66.955484, 68.398442, 75.677757, 349.534725]]
### 6
fourier: [[72.283325, 81.058888, 83.672505, 85.185414, 90.444345, 94.381718, 98.005848, 99.370509, 99.473957, 538.275802], [210.092459, 227.707085, 231.912889, 241.473160, 248.071737, 267.068267, 279.511629, 282.103882, 290.945458, 1477.704468], [234.950014, 239.797523, 244.027116, 250.290003, 269.770840, 275.659682, 300.880649, 309.846209, 314.767477, 1604.773057], [187.728286, 200.187758, 204.855449, 213.203547, 221.654380, 236.118334, 247.472005, 249.792352, 260.211311, 1289.929152], [172.160367, 185.871433, 187.873340, 194.382248, 203.226512, 214.008356, 230.040747, 235.520271, 237.015771, 1286.169523], [117.831174, 132.369677, 133.780652, 140.192425, 141.798145, 158.193105, 160.552194, 161.120424, 164.066855, 831.489063], [87.301365, 102.674895, 103.400238, 104.240322, 109.050182, 119.232836, 120.048967, 123.893069, 125.594448, 682.158969]]
### 8
fourier: [[345.446969, 372.030440, 376.665115, 391.903347, 408.191754, 431.294170, 460.197106, 469.450839, 477.181832, 2391.419224]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6907570958137512, "train_acc": 0.555, "val_loss": 0.6656295657157898, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6622447371482849, "train_acc": 0.555, "val_loss": 0.586189329624176, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5905554592609406, "train_acc": 0.48, "val_loss": 0.3959524929523468, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4464561343193054, "train_acc": 0.82, "val_loss": 0.2983916997909546, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.31840601563453674, "train_acc": 0.89, "val_loss": 0.34718504548072815, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36458340287208557, "train_acc": 0.85, "val_loss": 0.2533072233200073, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.27293553948402405, "train_acc": 0.89, "val_loss": 0.18085874617099762, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24766528606414795, "train_acc": 0.915, "val_loss": 0.19227531552314758, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2396647036075592, "train_acc": 0.93, "val_loss": 0.1643933802843094, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19287080317735672, "train_acc": 0.93, "val_loss": 0.1388595998287201, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.16270580887794495, "train_acc": 0.955, "val_loss": 0.13212737441062927, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.14862147718667984, "train_acc": 0.945, "val_loss": 0.12905682623386383, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6656295657157898, "final_val_loss": 0.586189329624176, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.3959524929523468, "final_val_loss": 0.12905682623386383, "initial_val_acc": 0.84, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
278
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3877, "learning_rate": 0.05220734351895749, "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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}
## Activation Signature
### 0
fourier: [[29.977783, 30.673090, 32.600247, 35.660633, 38.142785, 40.585254, 43.310042, 44.388984, 45.519659, 340.752832], [9.579997, 9.657446, 9.855915, 10.123522, 10.187648, 11.219606, 11.230962, 12.016570, 14.097204, 16.127358], [21.460591, 21.924474, 22.258920, 22.945455, 26.588979, 28.564589, 29.939685, 30.652735, 32.963840, 152.321518], [13.345212, 13.602543, 13.836453, 14.152664, 14.435640, 14.445532, 14.521921, 15.342792, 20.393845, 38.713029], [28.925934, 29.867810, 30.306456, 31.546282, 33.360097, 33.730820, 37.649709, 39.405675, 40.627774, 234.223075], [36.488772, 37.115849, 38.895890, 39.812403, 41.555519, 41.958281, 42.000124, 42.925158, 46.727499, 212.856258], [25.321650, 26.175673, 26.527249, 27.611744, 28.331758, 34.090442, 35.633230, 42.055473, 44.196776, 80.814319]]
### 2
fourier: [[28.157848, 28.345472, 32.422859, 33.936273, 34.627291, 35.681155, 36.930042, 38.313950, 38.715765, 244.162637], [10.797890, 11.004423, 12.223840, 12.485938, 14.413696, 14.773780, 15.053033, 15.093540, 16.477192, 55.962538], [43.740034, 47.510925, 49.762938, 52.548672, 53.464021, 56.064932, 58.956997, 64.245091, 65.968898, 288.910403], [38.725319, 40.266322, 41.332955, 42.615806, 44.663439, 46.878361, 48.967229, 54.078893, 56.529093, 232.959221], [39.406098, 39.772622, 43.978047, 45.794410, 46.734525, 47.818760, 51.161824, 53.450017, 54.146888, 269.284335], [13.523991, 13.908914, 15.184623, 15.564990, 16.584082, 16.715341, 16.792816, 21.260699, 21.713369, 63.566104], [17.928125, 18.042761, 18.154924, 20.047155, 21.549576, 21.573712, 22.279849, 26.441335, 27.701693, 84.984655]]
### 4
fourier: [[45.153050, 45.330851, 50.889011, 52.129641, 53.323721, 55.150422, 59.331573, 62.326582, 62.353060, 277.712059], [35.103871, 35.162454, 39.027027, 40.744164, 42.445551, 44.080698, 44.886038, 45.213864, 45.354903, 300.119179], [58.911652, 61.236930, 65.835834, 70.091739, 70.441085, 73.478316, 76.993634, 82.443807, 83.810166, 348.624012], [63.891290, 66.815578, 70.448189, 75.971603, 76.064896, 79.548528, 83.002095, 89.424733, 91.129138, 386.183026], [63.975032, 66.597589, 70.892325, 75.608887, 75.922689, 79.431606, 83.583595, 89.874299, 91.295546, 372.414299], [14.572073, 14.797031, 14.976289, 15.292206, 15.703633, 18.415955, 19.355964, 20.381688, 21.751541, 22.968440], [13.086027, 13.506603, 13.583493, 13.623119, 15.966469, 16.739742, 18.356410, 18.710964, 20.307230, 21.055784]]
### 6
fourier: [[127.054348, 130.389118, 140.557578, 152.237179, 153.388371, 157.532646, 161.159561, 174.142047, 177.192707, 726.064364], [84.617915, 87.347687, 93.826081, 101.710558, 102.451880, 105.505597, 107.529387, 116.433639, 118.607571, 554.530331], [94.964411, 99.134524, 105.369290, 114.608559, 115.444198, 119.793438, 120.687246, 132.078220, 135.040684, 551.524817], [36.792084, 37.075963, 38.540975, 38.894669, 41.829753, 42.256561, 44.214682, 48.682119, 50.990517, 175.432118], [35.176684, 35.826835, 36.067017, 38.667019, 40.849623, 41.162154, 41.833083, 47.706014, 49.631871, 79.723980], [28.993289, 29.449862, 29.995180, 31.466484, 33.686904, 33.856041, 34.589140, 39.179355, 40.761019, 80.722314], [112.816702, 118.000004, 125.002846, 136.651154, 136.959298, 142.095490, 143.583491, 156.543072, 160.124337, 664.179951]]
### 8
fourier: [[180.983983, 183.394892, 197.613376, 214.653495, 217.345801, 222.891258, 224.302320, 244.414593, 248.099498, 977.048540], [125.412230, 129.953665, 135.958416, 149.037167, 152.109017, 155.543225, 156.949329, 172.641234, 176.935623, 585.362771], [218.527366, 223.871881, 238.898877, 261.958877, 262.991170, 271.559800, 271.759734, 297.594263, 303.023520, 1195.547847], [204.499158, 207.521327, 222.988000, 242.552489, 244.457246, 252.273605, 253.608178, 276.808363, 281.308497, 1112.024378], [120.787772, 123.743719, 132.287143, 144.272564, 144.603444, 149.891398, 150.798105, 164.643322, 168.133615, 623.494663], [117.769528, 121.096238, 128.380072, 141.573493, 141.886988, 146.294062, 146.862877, 160.886046, 163.906287, 637.717217], [205.886639, 214.495844, 225.500635, 249.543638, 251.485556, 257.074055, 259.174008, 283.761540, 290.107102, 1122.902178]]
### 10
fourier: [[672.774093, 694.219875, 726.726862, 809.357106, 815.696584, 819.700432, 834.971400, 911.207089, 927.488529, 3692.492813]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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[
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[
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[
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[
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],
[
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## Activation Signature
### 0
fourier: [[29.977783, 30.673090, 32.600247, 35.660633, 38.142785, 40.585254, 43.310042, 44.388984, 45.519659, 340.752832], [9.579997, 9.657446, 9.855915, 10.123522, 10.187648, 11.219606, 11.230962, 12.016570, 14.097204, 16.127358], [21.460591, 21.924474, 22.258920, 22.945455, 26.588979, 28.564589, 29.939685, 30.652735, 32.963840, 152.321518], [13.345212, 13.602543, 13.836453, 14.152664, 14.435640, 14.445532, 14.521921, 15.342792, 20.393845, 38.713029], [28.925934, 29.867810, 30.306456, 31.546282, 33.360097, 33.730820, 37.649709, 39.405675, 40.627774, 234.223075], [36.488772, 37.115849, 38.895890, 39.812403, 41.555519, 41.958281, 42.000124, 42.925158, 46.727499, 212.856258], [25.321650, 26.175673, 26.527249, 27.611744, 28.331758, 34.090442, 35.633230, 42.055473, 44.196776, 80.814319]]
### 2
fourier: [[28.157848, 28.345472, 32.422859, 33.936273, 34.627291, 35.681155, 36.930042, 38.313950, 38.715765, 244.162637], [10.797890, 11.004423, 12.223840, 12.485938, 14.413696, 14.773780, 15.053033, 15.093540, 16.477192, 55.962538], [43.740034, 47.510925, 49.762938, 52.548672, 53.464021, 56.064932, 58.956997, 64.245091, 65.968898, 288.910403], [38.725319, 40.266322, 41.332955, 42.615806, 44.663439, 46.878361, 48.967229, 54.078893, 56.529093, 232.959221], [39.406098, 39.772622, 43.978047, 45.794410, 46.734525, 47.818760, 51.161824, 53.450017, 54.146888, 269.284335], [13.523991, 13.908914, 15.184623, 15.564990, 16.584082, 16.715341, 16.792816, 21.260699, 21.713369, 63.566104], [17.928125, 18.042761, 18.154924, 20.047155, 21.549576, 21.573712, 22.279849, 26.441335, 27.701693, 84.984655]]
### 4
fourier: [[45.153050, 45.330851, 50.889011, 52.129641, 53.323721, 55.150422, 59.331573, 62.326582, 62.353060, 277.712059], [35.103871, 35.162454, 39.027027, 40.744164, 42.445551, 44.080698, 44.886038, 45.213864, 45.354903, 300.119179], [58.911652, 61.236930, 65.835834, 70.091739, 70.441085, 73.478316, 76.993634, 82.443807, 83.810166, 348.624012], [63.891290, 66.815578, 70.448189, 75.971603, 76.064896, 79.548528, 83.002095, 89.424733, 91.129138, 386.183026], [63.975032, 66.597589, 70.892325, 75.608887, 75.922689, 79.431606, 83.583595, 89.874299, 91.295546, 372.414299], [14.572073, 14.797031, 14.976289, 15.292206, 15.703633, 18.415955, 19.355964, 20.381688, 21.751541, 22.968440], [13.086027, 13.506603, 13.583493, 13.623119, 15.966469, 16.739742, 18.356410, 18.710964, 20.307230, 21.055784]]
### 6
fourier: [[127.054348, 130.389118, 140.557578, 152.237179, 153.388371, 157.532646, 161.159561, 174.142047, 177.192707, 726.064364], [84.617915, 87.347687, 93.826081, 101.710558, 102.451880, 105.505597, 107.529387, 116.433639, 118.607571, 554.530331], [94.964411, 99.134524, 105.369290, 114.608559, 115.444198, 119.793438, 120.687246, 132.078220, 135.040684, 551.524817], [36.792084, 37.075963, 38.540975, 38.894669, 41.829753, 42.256561, 44.214682, 48.682119, 50.990517, 175.432118], [35.176684, 35.826835, 36.067017, 38.667019, 40.849623, 41.162154, 41.833083, 47.706014, 49.631871, 79.723980], [28.993289, 29.449862, 29.995180, 31.466484, 33.686904, 33.856041, 34.589140, 39.179355, 40.761019, 80.722314], [112.816702, 118.000004, 125.002846, 136.651154, 136.959298, 142.095490, 143.583491, 156.543072, 160.124337, 664.179951]]
### 8
fourier: [[180.983983, 183.394892, 197.613376, 214.653495, 217.345801, 222.891258, 224.302320, 244.414593, 248.099498, 977.048540], [125.412230, 129.953665, 135.958416, 149.037167, 152.109017, 155.543225, 156.949329, 172.641234, 176.935623, 585.362771], [218.527366, 223.871881, 238.898877, 261.958877, 262.991170, 271.559800, 271.759734, 297.594263, 303.023520, 1195.547847], [204.499158, 207.521327, 222.988000, 242.552489, 244.457246, 252.273605, 253.608178, 276.808363, 281.308497, 1112.024378], [120.787772, 123.743719, 132.287143, 144.272564, 144.603444, 149.891398, 150.798105, 164.643322, 168.133615, 623.494663], [117.769528, 121.096238, 128.380072, 141.573493, 141.886988, 146.294062, 146.862877, 160.886046, 163.906287, 637.717217], [205.886639, 214.495844, 225.500635, 249.543638, 251.485556, 257.074055, 259.174008, 283.761540, 290.107102, 1122.902178]]
### 10
fourier: [[672.774093, 694.219875, 726.726862, 809.357106, 815.696584, 819.700432, 834.971400, 911.207089, 927.488529, 3692.492813]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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257.0740548754983, 259.1740076719667, 283.7615403924655, 290.10710229219745, 1122.9021781384945]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [672.7740934844525, 694.2198747453194, 726.7268622948433, 809.3571061282697, 815.6965836317979, 819.7004315361654, 834.9713999089985, 911.2070894241338, 927.488529343393, 3692.4928129315376]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.077582, -0.494458, -0.151225, -0.530165, -0.794234], [0.19574, 0.227676, -0.332078, -0.011823, 0.079688], [-0.578911, -0.102185, -0.350374, -0.343728, 0.209642], [0.330992, -0.148286, -0.486928, 0.14632, -0.08505], [0.644832, 0.457028, 0.359507, 0.20425, -0.088318], [0.804346, 0.412043, 0.459638, 0.020599, 0.09448], [0.546956, 0.818144, -0.574884, 0.021388, -0.025734]], "network.0.bias": [-0.356227, -0.147228, 0.424606, 0.236424, -0.112835, -0.50756, -0.086818], "network.2.weight": [[0.224252, -0.021871, -0.203327, -0.376874, -0.173804, -0.512527, -0.378862], [-0.481585, 0.237063, 0.942055, -0.531224, 0.344515, 0.134219, -0.699749], [-0.060935, 0.012615, -0.212242, 0.605843, 0.299879, 0.641774, 0.871244], [-0.298858, 0.062057, 0.08517, 0.450555, 0.304402, 0.384819, 0.893], [0.089336, -0.07581, -0.154366, 0.405035, 0.269999, 0.653041, 0.566403], [-0.607132, 0.166361, 0.288178, -0.647537, 0.072471, -0.192124, -0.481632], [-0.354148, 0.109644, -0.06414, -0.772249, -0.055249, -0.142639, -0.569075]], "network.2.bias": [-0.564147, 0.252066, -0.162541, -0.214927, 0.064695, 0.151219, 0.255546], "network.4.weight": [[0.43818, 0.081225, 0.545389, 0.050713, 0.435625, -0.545964, -0.645583], [0.027938, 0.666828, 0.287487, 0.236608, 0.287378, 0.377514, 0.11423], [0.530458, 0.069893, 0.559847, 0.326681, 0.528109, 0.035313, -0.633271], [0.341739, 0.10417, 0.524617, 0.561072, 0.468699, -0.00417, -0.578514], [0.175274, 0.030971, 0.537737, 0.472913, 0.542337, -0.473136, -0.455049], [0.108678, -0.864191, 0.128221, 0.09519, 0.107492, -0.344938, -0.297909], [0.124726, -0.773329, 0.217731, 0.041568, 0.010744, -0.139477, 0.23986]], "network.4.bias": [-0.096551, 0.559501, -0.30827, -0.236069, -0.393493, -0.335261, -0.09879], "network.6.weight": [[0.482983, -0.046495, 0.759065, 0.456859, 0.535241, 0.00669, -0.104903], [-0.331925, -0.192281, -0.209343, -0.367249, -0.409999, 0.283015, -0.449444], [0.418477, 0.249302, 0.553126, -0.000424, 0.463814, 0.315494, 0.324504], [0.026274, -0.296446, -0.209017, -0.155917, 0.155812, -0.912187, -0.333573], [-0.164681, 0.56827, -0.180773, 0.007705, -0.450915, -0.426912, -0.222306], [0.10917, -0.4, 0.347958, -0.036884, 0.195887, 0.468295, 0.086174], [0.225812, 0.351145, 0.419493, 0.571235, 0.386548, 0.351609, 0.208689]], "network.6.bias": [-0.39531, -0.328739, -0.342228, 0.296643, 0.591341, -0.380866, -0.412339], "network.8.weight": [[0.771633, 0.039999, 0.481179, 0.091911, -0.464461, -0.012641, 0.303783], [-0.303976, -0.400834, -0.274415, 0.007216, 0.646396, -0.922992, -0.310831], [0.553442, 0.10977, 0.590479, 0.155816, -0.571577, 0.255519, 0.732045], [0.553047, 0.237002, 0.506859, 0.079493, -0.697974, 0.187393, 0.67688], [0.407409, 0.184085, 0.218821, -0.394858, -0.396276, 0.304389, 0.341476], [0.229492, 0.473095, 0.068013, 0.36745, -0.40819, 0.329543, 0.636411], [0.522733, 0.43367, 0.272748, 0.370676, -0.506308, 0.724613, 0.841857]], "network.8.bias": [-0.464467, 0.732497, -0.362902, -0.226178, -0.458387, -0.110758, -0.311716], "network.10.weight": [[-0.828012, 0.649041, -0.645102, -0.626799, -0.754633, -0.12801, -0.760185]], "network.10.bias": [0.683609]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6973057687282562, "train_acc": 0.42, "val_loss": 0.7020385265350342, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6724892258644104, "train_acc": 0.59, "val_loss": 0.6872432827949524, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5645162165164948, "train_acc": 0.59, "val_loss": 0.5865640044212341, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5315413177013397, "train_acc": 0.515, "val_loss": 0.6249788403511047, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4442046582698822, "train_acc": 0.725, "val_loss": 0.4245088994503021, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3706876337528229, "train_acc": 0.91, "val_loss": 0.3375858664512634, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.31226587295532227, "train_acc": 0.91, "val_loss": 0.306571364402771, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.24022384732961655, "train_acc": 0.945, "val_loss": 0.24531906843185425, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.18855788558721542, "train_acc": 0.965, "val_loss": 0.33275702595710754, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.158893633633852, "train_acc": 0.96, "val_loss": 0.19932930171489716, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.12912320718169212, "train_acc": 0.965, "val_loss": 0.16811439394950867, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2975248284637928, "train_acc": 0.95, "val_loss": 0.16595354676246643, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.20032914727926254, "train_acc": 0.94, "val_loss": 0.23823092877864838, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7020385265350342, "final_val_loss": 0.5865640044212341, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6249788403511047, "final_val_loss": 0.23823092877864838, "initial_val_acc": 0.54, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 10}, "improvement": 0.52, "first_improvement_epoch": 2}}
|
279
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "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": 7132, "learning_rate": 0.0826124707375247, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 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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[
-1.900391,
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0.045019,
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1.672979
],
[
-0.125689,
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],
[
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]
],
"network.0.bias": [
0.250944,
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"network.2.weight": [
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[
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],
[
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[
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1.260672,
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],
[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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[
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[
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[
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[
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],
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[
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"network.6.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": [
1.624106,
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"network.10.weight": [
[
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[
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[
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[
1.89588,
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"network.12.weight": [
[
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[42.014053, 44.709922, 44.948362, 45.344286, 47.029132, 48.714800, 52.711647, 53.858608, 54.303446, 62.571874], [26.101452, 26.499158, 28.555606, 29.289778, 32.149439, 34.068643, 38.955212, 40.540411, 47.056952, 249.883781], [32.848238, 32.947767, 34.855501, 43.128109, 43.756527, 45.200322, 48.475579, 49.333868, 54.208788, 62.178511], [53.649946, 58.179490, 58.622851, 63.540519, 63.550646, 69.162468, 70.415342, 74.052515, 74.069721, 80.041899], [22.373372, 24.965470, 25.582983, 28.832169, 30.490740, 31.205004, 33.266309, 40.792925, 40.964756, 330.581158], [23.770277, 25.262815, 25.491806, 25.532679, 25.973423, 26.184187, 27.263191, 29.691038, 34.336852, 169.173529]]
### 2
fourier: [[30.605614, 33.147041, 36.216320, 38.432955, 38.963534, 43.476756, 45.123053, 47.168908, 47.310487, 82.836696], [30.293106, 31.822098, 34.174228, 37.897279, 38.530725, 38.931224, 40.069884, 42.794182, 51.645064, 59.203784], [7.534486, 7.634727, 7.998122, 8.318521, 8.680712, 9.708893, 9.886363, 11.096881, 11.238603, 68.877613], [42.317669, 49.464411, 49.722138, 49.893011, 51.196146, 57.619111, 60.549704, 64.290768, 73.204879, 153.877297], [29.673342, 30.043297, 32.233381, 33.173106, 34.407363, 34.745122, 38.690876, 39.091487, 52.257032, 207.723028], [54.307425, 62.362116, 63.667504, 63.834333, 67.344931, 67.774909, 72.969926, 84.580394, 107.486531, 113.846027]]
### 4
fourier: [[40.936873, 41.272288, 41.906095, 49.940700, 51.400822, 56.324941, 57.964974, 65.384471, 86.028817, 353.842878], [30.141656, 30.399868, 32.832056, 33.208471, 33.838564, 36.507409, 36.704380, 40.255229, 48.892638, 59.327677], [24.686598, 26.426228, 27.066259, 30.648425, 31.228808, 36.368312, 37.938051, 42.318210, 53.445263, 191.018685], [59.092140, 62.217282, 67.989078, 71.083285, 72.073221, 75.896514, 79.009504, 82.096437, 95.883857, 282.316028], [35.390354, 36.048464, 36.234422, 42.894884, 44.923362, 46.320110, 49.116534, 54.645464, 73.234059, 278.000585], [38.318193, 43.509508, 45.314952, 45.744073, 49.931487, 50.059858, 57.439080, 62.738413, 69.793126, 75.779408]]
### 6
fourier: [[33.976236, 34.204892, 40.470628, 40.789345, 44.414301, 46.055194, 48.290604, 51.305063, 52.890105, 93.782021], [40.049522, 41.591418, 47.524784, 48.334222, 50.494421, 53.161987, 56.853163, 57.782152, 64.172162, 106.873781], [16.069962, 16.247093, 16.739846, 17.188670, 17.800991, 18.094354, 18.932813, 20.767618, 25.902738, 112.118535], [50.791228, 53.450135, 53.863322, 55.131888, 58.177879, 59.468877, 61.507148, 66.008014, 81.196596, 176.357245], [59.731656, 60.900918, 63.239955, 63.293409, 67.905192, 68.524583, 68.759072, 76.520927, 95.677263, 325.543195], [31.047048, 32.762384, 37.241298, 38.253422, 42.459881, 43.504827, 44.870830, 47.938434, 49.419709, 157.983454]]
### 8
fourier: [[10.581822, 12.190141, 13.202797, 13.298163, 13.644959, 13.760430, 18.217752, 19.197626, 20.821894, 61.387924], [8.496541, 9.880920, 10.623730, 10.636555, 10.960980, 11.156948, 14.638398, 15.539622, 16.793093, 46.398386], [3.112106, 3.641037, 3.847858, 3.877200, 3.991565, 4.117414, 5.330839, 5.719345, 6.145522, 69.327311], [1.694873, 1.920994, 2.109181, 2.149069, 2.162191, 2.184672, 2.918383, 3.030713, 3.312950, 27.508353], [4.331502, 5.058358, 5.384666, 5.404741, 5.566343, 5.707810, 7.438634, 7.943392, 8.561105, 87.072552], [15.445499, 17.807218, 19.272888, 19.399230, 19.916281, 20.106066, 26.589121, 28.042465, 30.400567, 91.594898]]
### 10
fourier: [[3.155915, 3.767840, 3.867788, 3.936686, 4.118381, 4.327634, 5.535790, 5.803302, 6.358331, 35.511138], [3.654077, 3.800308, 4.365943, 4.560632, 4.705152, 4.744673, 6.179846, 6.293065, 6.847649, 103.352444], [22.201998, 25.069605, 27.665173, 27.876881, 28.800712, 28.801445, 38.345296, 39.681712, 43.436582, 78.452784], [3.054515, 3.425074, 3.803691, 3.846788, 3.932483, 3.958580, 5.264929, 5.438013, 5.952294, 24.431785], [27.600629, 31.945629, 34.292163, 34.392843, 35.892132, 36.688978, 47.989402, 49.930241, 54.698946, 167.064687], [0.355159, 0.367028, 0.423575, 0.425508, 0.429228, 0.489893, 0.526656, 0.532127, 0.535646, 56.964333]]
### 12
fourier: [[53.167073, 62.142405, 65.347918, 66.196047, 69.347447, 71.920875, 93.329381, 95.916425, 106.380597, 312.230004]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[42.014053, 44.709922, 44.948362, 45.344286, 47.029132, 48.714800, 52.711647, 53.858608, 54.303446, 62.571874], [26.101452, 26.499158, 28.555606, 29.289778, 32.149439, 34.068643, 38.955212, 40.540411, 47.056952, 249.883781], [32.848238, 32.947767, 34.855501, 43.128109, 43.756527, 45.200322, 48.475579, 49.333868, 54.208788, 62.178511], [53.649946, 58.179490, 58.622851, 63.540519, 63.550646, 69.162468, 70.415342, 74.052515, 74.069721, 80.041899], [22.373372, 24.965470, 25.582983, 28.832169, 30.490740, 31.205004, 33.266309, 40.792925, 40.964756, 330.581158], [23.770277, 25.262815, 25.491806, 25.532679, 25.973423, 26.184187, 27.263191, 29.691038, 34.336852, 169.173529]]
### 2
fourier: [[30.605614, 33.147041, 36.216320, 38.432955, 38.963534, 43.476756, 45.123053, 47.168908, 47.310487, 82.836696], [30.293106, 31.822098, 34.174228, 37.897279, 38.530725, 38.931224, 40.069884, 42.794182, 51.645064, 59.203784], [7.534486, 7.634727, 7.998122, 8.318521, 8.680712, 9.708893, 9.886363, 11.096881, 11.238603, 68.877613], [42.317669, 49.464411, 49.722138, 49.893011, 51.196146, 57.619111, 60.549704, 64.290768, 73.204879, 153.877297], [29.673342, 30.043297, 32.233381, 33.173106, 34.407363, 34.745122, 38.690876, 39.091487, 52.257032, 207.723028], [54.307425, 62.362116, 63.667504, 63.834333, 67.344931, 67.774909, 72.969926, 84.580394, 107.486531, 113.846027]]
### 4
fourier: [[40.936873, 41.272288, 41.906095, 49.940700, 51.400822, 56.324941, 57.964974, 65.384471, 86.028817, 353.842878], [30.141656, 30.399868, 32.832056, 33.208471, 33.838564, 36.507409, 36.704380, 40.255229, 48.892638, 59.327677], [24.686598, 26.426228, 27.066259, 30.648425, 31.228808, 36.368312, 37.938051, 42.318210, 53.445263, 191.018685], [59.092140, 62.217282, 67.989078, 71.083285, 72.073221, 75.896514, 79.009504, 82.096437, 95.883857, 282.316028], [35.390354, 36.048464, 36.234422, 42.894884, 44.923362, 46.320110, 49.116534, 54.645464, 73.234059, 278.000585], [38.318193, 43.509508, 45.314952, 45.744073, 49.931487, 50.059858, 57.439080, 62.738413, 69.793126, 75.779408]]
### 6
fourier: [[33.976236, 34.204892, 40.470628, 40.789345, 44.414301, 46.055194, 48.290604, 51.305063, 52.890105, 93.782021], [40.049522, 41.591418, 47.524784, 48.334222, 50.494421, 53.161987, 56.853163, 57.782152, 64.172162, 106.873781], [16.069962, 16.247093, 16.739846, 17.188670, 17.800991, 18.094354, 18.932813, 20.767618, 25.902738, 112.118535], [50.791228, 53.450135, 53.863322, 55.131888, 58.177879, 59.468877, 61.507148, 66.008014, 81.196596, 176.357245], [59.731656, 60.900918, 63.239955, 63.293409, 67.905192, 68.524583, 68.759072, 76.520927, 95.677263, 325.543195], [31.047048, 32.762384, 37.241298, 38.253422, 42.459881, 43.504827, 44.870830, 47.938434, 49.419709, 157.983454]]
### 8
fourier: [[10.581822, 12.190141, 13.202797, 13.298163, 13.644959, 13.760430, 18.217752, 19.197626, 20.821894, 61.387924], [8.496541, 9.880920, 10.623730, 10.636555, 10.960980, 11.156948, 14.638398, 15.539622, 16.793093, 46.398386], [3.112106, 3.641037, 3.847858, 3.877200, 3.991565, 4.117414, 5.330839, 5.719345, 6.145522, 69.327311], [1.694873, 1.920994, 2.109181, 2.149069, 2.162191, 2.184672, 2.918383, 3.030713, 3.312950, 27.508353], [4.331502, 5.058358, 5.384666, 5.404741, 5.566343, 5.707810, 7.438634, 7.943392, 8.561105, 87.072552], [15.445499, 17.807218, 19.272888, 19.399230, 19.916281, 20.106066, 26.589121, 28.042465, 30.400567, 91.594898]]
### 10
fourier: [[3.155915, 3.767840, 3.867788, 3.936686, 4.118381, 4.327634, 5.535790, 5.803302, 6.358331, 35.511138], [3.654077, 3.800308, 4.365943, 4.560632, 4.705152, 4.744673, 6.179846, 6.293065, 6.847649, 103.352444], [22.201998, 25.069605, 27.665173, 27.876881, 28.800712, 28.801445, 38.345296, 39.681712, 43.436582, 78.452784], [3.054515, 3.425074, 3.803691, 3.846788, 3.932483, 3.958580, 5.264929, 5.438013, 5.952294, 24.431785], [27.600629, 31.945629, 34.292163, 34.392843, 35.892132, 36.688978, 47.989402, 49.930241, 54.698946, 167.064687], [0.355159, 0.367028, 0.423575, 0.425508, 0.429228, 0.489893, 0.526656, 0.532127, 0.535646, 56.964333]]
### 12
fourier: [[53.167073, 62.142405, 65.347918, 66.196047, 69.347447, 71.920875, 93.329381, 95.916425, 106.380597, 312.230004]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-1.273765, 0.121554, -0.248285, 0.117261, 1.386256], [0.453702, -0.543205, -0.675634, 0.117351, -0.795015], [1.289104, 0.140694, -0.124241, -0.230894, -0.631158], [-1.900391, -0.001118, 0.045019, -0.02458, 1.672979], [-0.125689, -0.687171, -0.214329, -0.416166, -0.180059], [0.32762, -0.186593, -0.382455, -0.630448, 0.61753]], "network.0.bias": [0.250944, -0.211063, 0.363371, -0.001872, -0.702306, -0.558149], "network.2.weight": [[-0.710961, 0.432212, 0.976417, 0.349253, 0.130035, 0.198722], [0.198819, -1.232316, -0.283992, 0.752975, 0.38061, 0.478264], [-0.125947, -0.041703, 0.01298, -0.106493, 0.544445, -0.372323], [0.155236, -0.810773, 0.159647, 1.260672, -0.030762, 0.405538], [-0.046561, 0.62663, 0.630682, 0.905657, 0.218145, 0.226453], [-0.857216, 0.261939, 0.779094, -0.720455, -0.578662, 0.229665]], "network.2.bias": [0.090631, -0.562143, -0.434478, -0.293082, 0.370945, -0.319988], "network.4.weight": [[-0.76439, -0.218786, -0.043443, -0.117866, -0.744204, -0.156296], [0.592265, 0.134659, 0.242021, -0.351009, -0.189281, 0.305113], [-0.241122, 0.301048, 0.035459, -0.246886, -0.564702, -0.363212], [0.267733, 0.452381, 0.071625, 0.973966, 0.162881, 0.594622], [-0.714807, -0.192291, 0.122755, -0.233202, -0.514316, -0.047437], [-0.146743, 0.54601, -0.013513, 0.57578, -0.01044, -0.102589]], "network.4.bias": [-0.653032, -0.7633, -0.05501, -0.301279, -0.319602, -0.504413], "network.6.weight": [[0.172322, -0.038131, 0.007101, -0.453068, -0.077415, -0.237947], [-0.232392, -0.069786, -0.234656, -0.593179, -0.088295, -0.176137], [0.078919, -0.066181, 0.036719, -0.286601, -0.047216, 0.058935], [0.188451, -0.659917, -0.34268, -0.575119, -0.243656, -0.357867], [-0.094598, -0.730987, -0.209388, -0.749275, 0.087317, -0.27476], [0.198279, -0.029895, -0.178633, -0.375894, -0.29432, -0.298514]], "network.6.bias": [0.761159, 0.999909, -0.36708, 0.745998, -0.424942, -0.122556], "network.8.weight": [[-0.652827, -0.785588, 0.185207, -0.853998, 0.054716, -0.139761], [0.694109, 0.721349, -0.21148, 0.405692, 0.334445, 0.103992], [-0.124302, -0.472847, 0.509783, -0.003703, -0.115908, -0.330695], [-0.27872, 0.09015, 0.122675, -0.243724, 0.034517, -0.375796], [-0.667426, -0.219641, 0.338553, -0.087734, 0.085502, -0.19383], [0.777914, 1.321692, 0.05229, 1.192549, 0.218987, 0.152709]], "network.8.bias": [1.624106, -0.249274, -0.487882, -0.157635, -0.575382, -0.358572], "network.10.weight": [[-0.370039, 0.224229, -0.363883, -0.331555, 0.250903, -0.129319], [-0.345287, -0.270868, -0.264054, -0.164426, 0.150992, -0.34233], [-0.673325, 0.590006, 0.579183, 0.258139, 0.128652, 0.858183], [0.060769, 0.052473, -0.078778, -0.322837, 0.189296, -0.209691], [1.89588, -0.625122, -0.233907, 0.084922, -0.190463, -0.442882], [-0.180136, -0.05234, -0.318248, 0.272062, -0.199025, -0.112415]], "network.10.bias": [-0.080924, -0.290866, 0.034558, -0.106193, 1.226357, -0.319938], "network.12.weight": [[0.182844, 0.231603, 0.603995, -0.305775, -1.813059, -0.21772]], "network.12.bias": [-0.386791]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845199167728424, "train_acc": 0.57, "val_loss": 0.6998130083084106, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6807322204113007, "train_acc": 0.57, "val_loss": 0.6955305337905884, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6812743842601776, "train_acc": 0.57, "val_loss": 0.6830364465713501, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6560223698616028, "train_acc": 0.57, "val_loss": 0.6360851526260376, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6271796226501465, "train_acc": 0.585, "val_loss": 0.6178142428398132, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5805285573005676, "train_acc": 0.7, "val_loss": 0.47057366371154785, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4722111374139786, "train_acc": 0.82, "val_loss": 0.43434685468673706, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.410801962018013, "train_acc": 0.845, "val_loss": 0.37163490056991577, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.36971645057201385, "train_acc": 0.85, "val_loss": 0.3662451207637787, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3414197266101837, "train_acc": 0.865, "val_loss": 0.3709219694137573, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.33716973662376404, "train_acc": 0.86, "val_loss": 0.3628029525279999, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.32506410777568817, "train_acc": 0.86, "val_loss": 0.354051411151886, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3304205536842346, "train_acc": 0.87, "val_loss": 0.34695112705230713, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.32980601489543915, "train_acc": 0.875, "val_loss": 0.3360203802585602, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6998130083084106, "final_val_loss": 0.6360851526260376, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6178142428398132, "final_val_loss": 0.3360203802585602, "initial_val_acc": 0.7, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 13}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
280
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{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7329, "learning_rate": 0.07228868201394224, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[19.461370, 19.525861, 21.997201, 22.335117, 24.722868, 26.826541, 26.853595, 32.346177, 35.753188, 150.973147], [25.009572, 25.061622, 27.987952, 29.239860, 31.296488, 33.205273, 35.029206, 35.762445, 48.870672, 110.513225], [25.299527, 25.349833, 27.233251, 27.359227, 27.883966, 28.858413, 34.331359, 34.980256, 36.925239, 106.482547], [31.252605, 31.749257, 31.900169, 32.227263, 32.890543, 33.124379, 33.155849, 39.006042, 39.684695, 66.780069], [28.002802, 28.631292, 29.355811, 30.256042, 31.414125, 31.549657, 34.741106, 39.872781, 41.932328, 134.652044], [20.521031, 21.857281, 22.496896, 23.519861, 23.543100, 23.747594, 24.106594, 25.746018, 25.987870, 27.145651]]
### 2
fourier: [[13.803797, 14.822639, 15.012400, 15.938657, 16.678039, 17.306607, 19.357790, 19.663274, 20.700102, 24.087895], [19.017256, 20.557939, 22.089755, 22.543618, 22.991070, 24.474183, 24.921198, 25.912617, 26.793689, 161.215141], [31.520450, 31.940463, 32.104734, 35.965070, 36.057380, 38.224988, 45.808791, 45.990935, 50.575569, 104.448488], [21.054409, 21.661140, 21.902779, 22.254092, 22.809089, 23.377556, 23.599707, 25.962234, 32.591928, 225.323921], [18.240558, 19.453343, 20.504585, 21.650563, 22.497539, 23.091424, 25.752441, 29.321366, 30.004314, 36.924823], [18.124076, 18.342573, 18.486154, 19.414566, 19.877682, 22.416512, 24.175623, 27.404934, 28.863544, 161.457023]]
### 4
fourier: [[22.472716, 22.791647, 23.849512, 24.092068, 26.560563, 26.908997, 27.282232, 30.512833, 33.176948, 154.307672], [7.082004, 7.117610, 7.224619, 7.529953, 7.892032, 8.089045, 9.288450, 9.783354, 10.208324, 48.825314], [21.720331, 21.823695, 21.993254, 22.389842, 22.750228, 23.319283, 28.557943, 29.775348, 30.207827, 88.402785], [10.399100, 11.007475, 11.363098, 12.860624, 13.444865, 15.883365, 17.006161, 17.478175, 17.717357, 38.007422], [8.975993, 9.387227, 9.421405, 9.716009, 10.074846, 10.104739, 10.955299, 11.206156, 15.161691, 111.959782], [33.157585, 37.637507, 37.658679, 41.426092, 41.468438, 42.331871, 55.358061, 59.403058, 62.439924, 62.643090]]
### 6
fourier: [[27.255640, 29.786580, 31.595867, 31.982627, 34.171663, 37.506399, 44.252144, 47.678048, 47.733415, 75.114661], [13.013719, 13.223120, 14.009852, 14.479552, 15.208258, 15.511179, 17.527818, 20.088139, 22.201237, 22.366175], [26.097108, 26.481921, 28.023487, 28.885863, 29.170991, 35.830453, 38.175341, 40.881004, 42.186469, 89.297530], [20.795552, 21.097931, 21.132528, 22.224011, 25.926433, 28.668768, 29.834502, 31.262033, 32.846519, 112.322256], [20.846638, 22.208719, 23.376415, 26.414358, 27.197509, 28.860621, 29.161759, 36.057088, 38.968198, 39.085334], [13.383173, 14.198336, 14.425193, 14.516111, 15.177967, 15.806858, 16.220669, 16.534141, 19.937885, 144.766694]]
### 8
fourier: [[14.150361, 14.230982, 14.379285, 14.682639, 16.505346, 19.977570, 21.187441, 21.576244, 23.736350, 61.776144], [37.701050, 38.056632, 38.996999, 41.480134, 44.613840, 54.428575, 56.461687, 57.553092, 63.523837, 164.301770], [26.050033, 26.386822, 28.023290, 29.624152, 31.783916, 38.312078, 39.519122, 40.543662, 45.032587, 106.384011], [23.308259, 23.314344, 25.160007, 26.035541, 28.234765, 34.660649, 35.166734, 36.482183, 40.205368, 90.257416], [8.237261, 8.665760, 9.008593, 9.065472, 9.845327, 11.455707, 12.659990, 12.991970, 13.101686, 14.190308], [37.120150, 37.342021, 38.811550, 40.846412, 44.707502, 53.569882, 55.645566, 57.096471, 63.245543, 171.255010]]
### 10
fourier: [[56.412198, 57.137161, 63.194559, 68.093818, 72.765900, 84.983376, 85.114578, 90.961587, 98.039131, 211.587538]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: 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
fourier: [[19.461370, 19.525861, 21.997201, 22.335117, 24.722868, 26.826541, 26.853595, 32.346177, 35.753188, 150.973147], [25.009572, 25.061622, 27.987952, 29.239860, 31.296488, 33.205273, 35.029206, 35.762445, 48.870672, 110.513225], [25.299527, 25.349833, 27.233251, 27.359227, 27.883966, 28.858413, 34.331359, 34.980256, 36.925239, 106.482547], [31.252605, 31.749257, 31.900169, 32.227263, 32.890543, 33.124379, 33.155849, 39.006042, 39.684695, 66.780069], [28.002802, 28.631292, 29.355811, 30.256042, 31.414125, 31.549657, 34.741106, 39.872781, 41.932328, 134.652044], [20.521031, 21.857281, 22.496896, 23.519861, 23.543100, 23.747594, 24.106594, 25.746018, 25.987870, 27.145651]]
### 2
fourier: [[13.803797, 14.822639, 15.012400, 15.938657, 16.678039, 17.306607, 19.357790, 19.663274, 20.700102, 24.087895], [19.017256, 20.557939, 22.089755, 22.543618, 22.991070, 24.474183, 24.921198, 25.912617, 26.793689, 161.215141], [31.520450, 31.940463, 32.104734, 35.965070, 36.057380, 38.224988, 45.808791, 45.990935, 50.575569, 104.448488], [21.054409, 21.661140, 21.902779, 22.254092, 22.809089, 23.377556, 23.599707, 25.962234, 32.591928, 225.323921], [18.240558, 19.453343, 20.504585, 21.650563, 22.497539, 23.091424, 25.752441, 29.321366, 30.004314, 36.924823], [18.124076, 18.342573, 18.486154, 19.414566, 19.877682, 22.416512, 24.175623, 27.404934, 28.863544, 161.457023]]
### 4
fourier: [[22.472716, 22.791647, 23.849512, 24.092068, 26.560563, 26.908997, 27.282232, 30.512833, 33.176948, 154.307672], [7.082004, 7.117610, 7.224619, 7.529953, 7.892032, 8.089045, 9.288450, 9.783354, 10.208324, 48.825314], [21.720331, 21.823695, 21.993254, 22.389842, 22.750228, 23.319283, 28.557943, 29.775348, 30.207827, 88.402785], [10.399100, 11.007475, 11.363098, 12.860624, 13.444865, 15.883365, 17.006161, 17.478175, 17.717357, 38.007422], [8.975993, 9.387227, 9.421405, 9.716009, 10.074846, 10.104739, 10.955299, 11.206156, 15.161691, 111.959782], [33.157585, 37.637507, 37.658679, 41.426092, 41.468438, 42.331871, 55.358061, 59.403058, 62.439924, 62.643090]]
### 6
fourier: [[27.255640, 29.786580, 31.595867, 31.982627, 34.171663, 37.506399, 44.252144, 47.678048, 47.733415, 75.114661], [13.013719, 13.223120, 14.009852, 14.479552, 15.208258, 15.511179, 17.527818, 20.088139, 22.201237, 22.366175], [26.097108, 26.481921, 28.023487, 28.885863, 29.170991, 35.830453, 38.175341, 40.881004, 42.186469, 89.297530], [20.795552, 21.097931, 21.132528, 22.224011, 25.926433, 28.668768, 29.834502, 31.262033, 32.846519, 112.322256], [20.846638, 22.208719, 23.376415, 26.414358, 27.197509, 28.860621, 29.161759, 36.057088, 38.968198, 39.085334], [13.383173, 14.198336, 14.425193, 14.516111, 15.177967, 15.806858, 16.220669, 16.534141, 19.937885, 144.766694]]
### 8
fourier: [[14.150361, 14.230982, 14.379285, 14.682639, 16.505346, 19.977570, 21.187441, 21.576244, 23.736350, 61.776144], [37.701050, 38.056632, 38.996999, 41.480134, 44.613840, 54.428575, 56.461687, 57.553092, 63.523837, 164.301770], [26.050033, 26.386822, 28.023290, 29.624152, 31.783916, 38.312078, 39.519122, 40.543662, 45.032587, 106.384011], [23.308259, 23.314344, 25.160007, 26.035541, 28.234765, 34.660649, 35.166734, 36.482183, 40.205368, 90.257416], [8.237261, 8.665760, 9.008593, 9.065472, 9.845327, 11.455707, 12.659990, 12.991970, 13.101686, 14.190308], [37.120150, 37.342021, 38.811550, 40.846412, 44.707502, 53.569882, 55.645566, 57.096471, 63.245543, 171.255010]]
### 10
fourier: [[56.412198, 57.137161, 63.194559, 68.093818, 72.765900, 84.983376, 85.114578, 90.961587, 98.039131, 211.587538]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[0.221479, 0.02417, -0.14401, 0.324679, 0.732013], [-0.999385, 0.446253, 0.136394, -0.182838, -0.288281], [0.660512, 0.358088, 0.01353, -0.070898, 0.381409], [-0.191209, 0.073417, 0.706268, -0.911532, -0.071325], [-0.317214, -0.064528, 0.475571, 0.687878, -0.936825], [0.504539, 0.28642, -0.272387, -0.429793, 0.372898]], "network.0.bias": [0.059565, -0.334697, -0.637979, -0.070454, 0.695359, 0.075161], "network.2.weight": [[0.257798, -0.689524, -0.177422, -0.752119, -0.01734, 0.004621], [-0.276481, 0.507944, 0.199705, -0.259524, 0.76674, -0.003951], [0.38918, 0.405758, 0.703012, 0.191268, -0.366922, 0.3835], [-0.274231, -0.963685, -0.435195, -0.293446, -0.417976, -0.594936], [-0.310602, -0.008671, -0.238618, 0.30499, 0.42339, -0.054508], [-0.523702, 0.393044, -0.054801, 0.552766, -0.682071, -0.070415]], "network.2.bias": [0.00958, 0.734724, -0.104188, -0.157236, 0.372034, 0.03447], "network.4.weight": [[-0.251783, 0.137235, 0.855876, 0.078053, 0.268314, 0.84136], [0.185371, -0.398892, -0.141584, -1.148006, 0.121253, -0.288512], [0.298666, -0.699904, 0.074171, 0.267169, -0.529111, 0.188699], [-0.016695, 0.04225, -0.236711, -0.437659, 0.451989, -0.613836], [-0.007961, -0.593261, -0.065632, 0.282895, 0.226407, 0.359779], [-0.488795, 0.465434, -1.032502, -0.870365, 0.538561, -0.297633]], "network.4.bias": [0.101894, 0.177587, 0.498806, 0.320544, -0.25412, 0.320929], "network.6.weight": [[0.850807, -0.256239, 0.777169, -0.424111, 0.284238, -0.538474], [-0.409118, 0.35428, -0.326764, -0.039389, -0.349383, 0.348408], [0.914382, 0.028439, 0.430154, -0.163601, 0.049044, -0.403607], [-0.863488, 0.144659, -0.085263, 0.244661, 0.101257, 0.091798], [0.596579, -0.697598, 0.525087, -0.979624, 0.253519, -0.294994], [-0.480709, -0.182885, 0.656795, -0.662913, -0.110689, -0.570568]], "network.6.bias": [0.241115, 0.137301, 0.038017, -0.043993, 0.010042, 0.103545], "network.8.weight": [[0.58057, -0.186993, 0.029748, 0.13703, -0.074712, 0.274566], [0.717155, -0.32506, 0.557405, -0.275298, 0.381995, -0.156133], [0.180885, -0.347149, 0.332841, 0.102108, 0.794288, 0.386466], [0.544013, -0.117492, 0.105394, -0.217824, 0.469185, 0.045294], [0.07375, -0.32576, 0.242993, 0.355369, -0.008528, 0.491462], [0.655515, -0.428697, 0.343267, 0.078047, 0.719291, -0.129874]], "network.8.bias": [0.050452, 0.003164, 0.029724, -0.166785, -0.390034, 0.180285], "network.10.weight": [[-0.390619, -0.279114, -0.52856, -0.554904, -0.587235, -0.392255]], "network.10.bias": [0.584416]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895098090171814, "train_acc": 0.565, "val_loss": 0.6860119700431824, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6827578842639923, "train_acc": 0.565, "val_loss": 0.6769103407859802, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6609092354774475, "train_acc": 0.565, "val_loss": 0.5866113305091858, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6108668744564056, "train_acc": 0.62, "val_loss": 0.5678572058677673, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.49377110600471497, "train_acc": 0.805, "val_loss": 0.43570250272750854, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5573077201843262, "train_acc": 0.75, "val_loss": 0.4333115518093109, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.462541401386261, "train_acc": 0.795, "val_loss": 0.5224528312683105, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.46228696405887604, "train_acc": 0.775, "val_loss": 0.40439683198928833, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5544562935829163, "train_acc": 0.78, "val_loss": 0.3455390930175781, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4019884467124939, "train_acc": 0.82, "val_loss": 0.45237410068511963, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4273255169391632, "train_acc": 0.795, "val_loss": 0.47783592343330383, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.44141513109207153, "train_acc": 0.795, "val_loss": 0.41763633489608765, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6860119700431824, "final_val_loss": 0.5866113305091858, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5678572058677673, "final_val_loss": 0.41763633489608765, "initial_val_acc": 0.72, "final_val_acc": 0.8, "best_val_acc": 0.86, "best_epoch": 8}, "improvement": 0.29999999999999993, "first_improvement_epoch": 2}}
|
281
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{"target_pattern": "alternating", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6916, "learning_rate": 0.03138673356334388, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.654433, 20.481678, 21.641661, 22.380918, 22.713284, 23.134765, 26.073324, 27.353408, 28.239579, 178.613327], [21.263955, 21.456491, 22.614114, 23.809782, 23.827495, 26.094873, 28.511559, 28.989268, 29.734528, 38.645635], [19.193473, 21.416851, 22.264166, 24.134806, 24.270803, 24.465890, 25.608613, 28.395437, 38.355118, 172.667015], [18.625824, 18.991543, 19.084840, 19.511256, 19.985968, 20.310316, 21.090377, 21.311224, 22.577091, 63.350344], [34.695685, 38.316831, 38.998976, 39.126678, 44.059255, 44.895355, 45.799105, 46.002434, 46.809117, 142.043342], [18.357799, 18.695881, 20.007139, 20.642516, 27.162914, 28.461276, 28.975558, 34.387801, 38.937748, 54.938654], [24.957518, 25.074092, 25.934595, 27.157488, 27.544458, 28.512857, 31.518407, 34.303344, 37.350089, 75.496289], [17.374679, 17.893032, 18.141597, 18.934330, 20.837364, 21.138072, 21.681235, 23.057401, 24.119847, 26.205640]]
### 2
fourier: [[23.150965, 24.331418, 24.988092, 25.198094, 26.140389, 27.138640, 27.595181, 27.913604, 28.334359, 231.793288], [21.499811, 21.796972, 21.928954, 23.498160, 24.206876, 25.900261, 26.580332, 27.900692, 29.016338, 29.234694], [22.655733, 22.979146, 25.104322, 26.336511, 27.052267, 29.361865, 29.745006, 30.536710, 40.130350, 253.166676], [14.849986, 14.886994, 14.910289, 16.007715, 16.433737, 16.672123, 18.348780, 19.368848, 19.895120, 27.256965], [23.235610, 24.207599, 25.748987, 27.623112, 29.090183, 29.575180, 31.671895, 32.722705, 33.826681, 104.721523], [21.946756, 22.035684, 24.604099, 25.578216, 25.931221, 27.572307, 28.534091, 32.326366, 32.968153, 248.724776], [18.101352, 18.389005, 18.999431, 19.202764, 19.615721, 25.344363, 26.399240, 26.729012, 39.676587, 105.577726], [14.274742, 14.499501, 14.573125, 16.170365, 17.188430, 17.689128, 19.804019, 21.069474, 21.756242, 91.875868]]
### 4
fourier: [[17.466334, 18.862707, 19.601450, 20.478529, 21.178374, 24.423842, 25.834540, 31.163484, 31.838519, 99.843999], [22.398894, 22.854802, 23.389575, 25.203108, 25.371797, 29.385891, 30.642045, 31.347334, 46.480402, 77.489453], [35.281503, 38.037288, 39.081983, 39.159204, 40.816117, 41.967889, 42.464165, 43.620015, 49.110650, 237.607738], [27.889737, 28.347623, 28.843982, 30.041384, 32.188861, 32.827068, 34.884707, 38.000341, 38.104527, 57.644965], [16.759368, 16.890429, 18.993955, 19.490260, 20.358430, 22.593558, 22.618343, 22.979706, 30.416244, 58.822714], [41.917359, 44.312195, 48.509376, 48.600759, 49.011967, 49.084663, 50.570342, 50.748159, 58.056783, 328.036274], [34.825003, 35.370852, 41.247064, 41.929583, 42.469972, 44.580516, 46.655910, 49.854740, 51.026934, 324.998966], [47.530220, 47.825614, 51.356730, 52.922968, 52.983408, 53.674960, 54.680856, 56.493500, 59.354290, 452.174628]]
### 6
fourier: [[17.252142, 17.565441, 18.859123, 18.909789, 19.114574, 20.786716, 20.903573, 22.019034, 25.246948, 90.969037], [23.662432, 24.098234, 24.871547, 26.086139, 27.202082, 28.067983, 28.224343, 30.171609, 30.308409, 224.679643], [61.403231, 65.934839, 66.357739, 70.300581, 73.413575, 74.298893, 75.531195, 80.550269, 83.408156, 540.219569], [10.740973, 11.609112, 12.367414, 12.426821, 12.537416, 12.684484, 12.923732, 17.012662, 18.279224, 43.050131], [61.784100, 64.863051, 66.450232, 69.525878, 69.965090, 71.733661, 72.968376, 75.421479, 83.379194, 488.799031], [27.561431, 27.766685, 29.694799, 30.548001, 33.668558, 35.427274, 35.515896, 35.964484, 40.681196, 198.308790], [55.720293, 56.538782, 61.254414, 63.110848, 63.149998, 66.867711, 67.300123, 72.479451, 76.522371, 482.489639], [17.359664, 17.491958, 18.065136, 18.974598, 19.665983, 20.445543, 21.506273, 23.592592, 25.865888, 25.966519]]
### 8
fourier: [[25.887653, 26.206717, 26.225492, 26.247298, 27.545272, 28.946688, 34.034431, 34.824780, 35.858628, 101.501822], [36.416116, 36.615355, 36.697500, 36.963503, 37.658228, 42.148028, 43.244766, 46.534081, 49.217601, 53.298871], [11.721245, 11.776446, 11.915112, 12.128248, 12.135433, 12.484112, 15.201309, 15.511510, 16.177235, 16.544611], [58.274314, 61.339053, 64.517568, 66.538580, 67.689972, 70.874815, 72.787634, 75.991156, 82.708030, 409.546952], [34.719500, 35.862735, 36.820851, 38.596001, 38.978036, 39.762188, 45.554709, 46.711853, 47.075335, 48.091500], [39.779204, 39.981554, 43.089808, 43.271097, 43.389972, 44.784736, 47.267802, 48.891857, 54.193207, 274.626036], [28.364994, 28.800639, 28.875361, 29.128823, 29.430296, 31.207755, 37.537861, 37.663982, 38.310065, 106.640097], [87.119066, 91.703266, 100.119936, 100.718243, 104.273179, 107.606380, 108.679818, 109.107411, 124.526337, 666.159669]]
### 10
fourier: [[100.858600, 101.137754, 101.464331, 104.424382, 108.690765, 114.545750, 123.081423, 126.325079, 131.936544, 569.445551]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.654433, 20.481678, 21.641661, 22.380918, 22.713284, 23.134765, 26.073324, 27.353408, 28.239579, 178.613327], [21.263955, 21.456491, 22.614114, 23.809782, 23.827495, 26.094873, 28.511559, 28.989268, 29.734528, 38.645635], [19.193473, 21.416851, 22.264166, 24.134806, 24.270803, 24.465890, 25.608613, 28.395437, 38.355118, 172.667015], [18.625824, 18.991543, 19.084840, 19.511256, 19.985968, 20.310316, 21.090377, 21.311224, 22.577091, 63.350344], [34.695685, 38.316831, 38.998976, 39.126678, 44.059255, 44.895355, 45.799105, 46.002434, 46.809117, 142.043342], [18.357799, 18.695881, 20.007139, 20.642516, 27.162914, 28.461276, 28.975558, 34.387801, 38.937748, 54.938654], [24.957518, 25.074092, 25.934595, 27.157488, 27.544458, 28.512857, 31.518407, 34.303344, 37.350089, 75.496289], [17.374679, 17.893032, 18.141597, 18.934330, 20.837364, 21.138072, 21.681235, 23.057401, 24.119847, 26.205640]]
### 2
fourier: [[23.150965, 24.331418, 24.988092, 25.198094, 26.140389, 27.138640, 27.595181, 27.913604, 28.334359, 231.793288], [21.499811, 21.796972, 21.928954, 23.498160, 24.206876, 25.900261, 26.580332, 27.900692, 29.016338, 29.234694], [22.655733, 22.979146, 25.104322, 26.336511, 27.052267, 29.361865, 29.745006, 30.536710, 40.130350, 253.166676], [14.849986, 14.886994, 14.910289, 16.007715, 16.433737, 16.672123, 18.348780, 19.368848, 19.895120, 27.256965], [23.235610, 24.207599, 25.748987, 27.623112, 29.090183, 29.575180, 31.671895, 32.722705, 33.826681, 104.721523], [21.946756, 22.035684, 24.604099, 25.578216, 25.931221, 27.572307, 28.534091, 32.326366, 32.968153, 248.724776], [18.101352, 18.389005, 18.999431, 19.202764, 19.615721, 25.344363, 26.399240, 26.729012, 39.676587, 105.577726], [14.274742, 14.499501, 14.573125, 16.170365, 17.188430, 17.689128, 19.804019, 21.069474, 21.756242, 91.875868]]
### 4
fourier: [[17.466334, 18.862707, 19.601450, 20.478529, 21.178374, 24.423842, 25.834540, 31.163484, 31.838519, 99.843999], [22.398894, 22.854802, 23.389575, 25.203108, 25.371797, 29.385891, 30.642045, 31.347334, 46.480402, 77.489453], [35.281503, 38.037288, 39.081983, 39.159204, 40.816117, 41.967889, 42.464165, 43.620015, 49.110650, 237.607738], [27.889737, 28.347623, 28.843982, 30.041384, 32.188861, 32.827068, 34.884707, 38.000341, 38.104527, 57.644965], [16.759368, 16.890429, 18.993955, 19.490260, 20.358430, 22.593558, 22.618343, 22.979706, 30.416244, 58.822714], [41.917359, 44.312195, 48.509376, 48.600759, 49.011967, 49.084663, 50.570342, 50.748159, 58.056783, 328.036274], [34.825003, 35.370852, 41.247064, 41.929583, 42.469972, 44.580516, 46.655910, 49.854740, 51.026934, 324.998966], [47.530220, 47.825614, 51.356730, 52.922968, 52.983408, 53.674960, 54.680856, 56.493500, 59.354290, 452.174628]]
### 6
fourier: [[17.252142, 17.565441, 18.859123, 18.909789, 19.114574, 20.786716, 20.903573, 22.019034, 25.246948, 90.969037], [23.662432, 24.098234, 24.871547, 26.086139, 27.202082, 28.067983, 28.224343, 30.171609, 30.308409, 224.679643], [61.403231, 65.934839, 66.357739, 70.300581, 73.413575, 74.298893, 75.531195, 80.550269, 83.408156, 540.219569], [10.740973, 11.609112, 12.367414, 12.426821, 12.537416, 12.684484, 12.923732, 17.012662, 18.279224, 43.050131], [61.784100, 64.863051, 66.450232, 69.525878, 69.965090, 71.733661, 72.968376, 75.421479, 83.379194, 488.799031], [27.561431, 27.766685, 29.694799, 30.548001, 33.668558, 35.427274, 35.515896, 35.964484, 40.681196, 198.308790], [55.720293, 56.538782, 61.254414, 63.110848, 63.149998, 66.867711, 67.300123, 72.479451, 76.522371, 482.489639], [17.359664, 17.491958, 18.065136, 18.974598, 19.665983, 20.445543, 21.506273, 23.592592, 25.865888, 25.966519]]
### 8
fourier: [[25.887653, 26.206717, 26.225492, 26.247298, 27.545272, 28.946688, 34.034431, 34.824780, 35.858628, 101.501822], [36.416116, 36.615355, 36.697500, 36.963503, 37.658228, 42.148028, 43.244766, 46.534081, 49.217601, 53.298871], [11.721245, 11.776446, 11.915112, 12.128248, 12.135433, 12.484112, 15.201309, 15.511510, 16.177235, 16.544611], [58.274314, 61.339053, 64.517568, 66.538580, 67.689972, 70.874815, 72.787634, 75.991156, 82.708030, 409.546952], [34.719500, 35.862735, 36.820851, 38.596001, 38.978036, 39.762188, 45.554709, 46.711853, 47.075335, 48.091500], [39.779204, 39.981554, 43.089808, 43.271097, 43.389972, 44.784736, 47.267802, 48.891857, 54.193207, 274.626036], [28.364994, 28.800639, 28.875361, 29.128823, 29.430296, 31.207755, 37.537861, 37.663982, 38.310065, 106.640097], [87.119066, 91.703266, 100.119936, 100.718243, 104.273179, 107.606380, 108.679818, 109.107411, 124.526337, 666.159669]]
### 10
fourier: [[100.858600, 101.137754, 101.464331, 104.424382, 108.690765, 114.545750, 123.081423, 126.325079, 131.936544, 569.445551]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.246101, 0.280895, 0.1194, 0.611398, 0.187829], [-0.500444, -0.642804, 0.342403, 0.591343, -0.083057], [0.152598, 0.158513, 0.614945, -0.144627, 0.311545], [0.043101, 0.273467, 0.483915, 0.019941, -0.389824], [0.470669, -0.791843, 0.402687, -0.829902, 0.182557], [-0.065422, -0.402484, 0.651406, -0.150564, 0.376684], [-0.578925, -0.503944, 0.378376, 0.587849, 0.316967], [0.326704, -0.258345, -0.57195, 0.368468, 0.169845]], "network.0.bias": [-0.013177, 0.119465, 0.08113, -0.420888, -0.007711, -0.077155, 0.035663, -0.031872], "network.2.weight": [[0.346819, 0.309462, 0.172382, 0.539205, -0.707073, 0.127876, 0.482633, 0.244256], [-0.17477, -0.340037, 0.334841, -0.603834, 0.684249, 0.370315, 0.037368, -0.226917], [-0.028121, 0.262374, 0.590468, 0.304491, -0.014964, 0.25898, 0.562808, 0.204692], [0.001349, -0.557762, -0.138309, -0.577953, 0.344945, 0.456673, 0.042062, -0.562095], [0.089744, 0.815185, -0.14225, 0.259331, -0.401291, 0.213997, 0.543645, 0.192107], [0.497094, 0.474428, 0.571607, -0.41922, -0.119741, 0.259142, 0.209214, -0.690562], [0.468119, -0.100641, -0.393398, -0.143878, -0.594273, 0.002886, -0.659711, -0.493823], [-0.081198, 0.824247, 0.150268, -0.067381, -0.348152, 0.020253, 0.125953, 0.451733]], "network.2.bias": [0.390178, -0.07024, 0.367646, 0.455169, -0.326096, 0.466727, -0.019557, 0.156041], "network.4.weight": [[0.136168, -0.297743, -0.406102, 0.472731, -0.438307, 0.027161, 0.391392, -0.251606], [0.288501, -0.960893, -0.732126, 0.219884, -0.362227, 0.421178, 0.439068, -0.10187], [0.47712, -0.153917, 0.002195, -0.201614, 0.628347, 0.230517, -0.682021, 0.403983], [-0.255124, 0.750514, 0.101267, 0.622603, -0.309167, 0.371974, 0.155435, -0.368846], [0.325616, -0.538757, -0.404684, -0.146652, 0.146727, -0.078822, 0.448067, -0.361437], [-0.517875, 0.215055, -0.078731, 0.219006, -0.859946, -0.171664, 0.236538, -0.437131], [0.191861, 0.026042, 0.358708, -0.37097, 0.679547, 0.107055, -0.589525, 0.537344], [0.615247, -0.338461, 0.223952, -0.223087, 0.477034, 0.563672, -0.529938, 0.400642]], "network.4.bias": [0.428581, 0.236223, -0.310759, 0.276707, 0.289102, -0.249037, 0.508792, 0.486287], "network.6.weight": [[0.37288, 0.509237, -0.348137, 0.696381, 0.309049, -0.27281, 0.050177, 0.193259], [0.136129, -0.31586, -0.217864, -0.059706, -0.153054, 0.044776, -0.036737, -0.324113], [-0.397126, 0.224655, -0.524978, -0.09079, -0.030579, 0.161777, -0.480024, -0.571653], [-0.279311, -0.035692, 0.264432, 0.413154, 0.194835, -0.265467, 0.380715, -0.421296], [-0.574188, -0.189272, 0.317598, -0.271453, -0.134432, 0.215064, 0.514211, 0.626103], [-0.226532, -0.930251, 0.323159, -0.204189, -0.590767, 0.308384, -0.090652, 0.369761], [-0.598071, -0.350977, 0.33218, -0.124887, -0.100217, 0.395301, 0.560886, 0.470147], [0.321856, 0.3565, -0.125624, 0.610393, -0.063437, -0.506915, -0.153797, 0.018343]], "network.6.bias": [0.114037, -0.088297, 0.035764, 0.154017, -0.087316, 0.100278, 0.298718, 0.320996], "network.8.weight": [[0.612738, -0.164078, -0.458762, -0.097785, -0.400423, -0.27972, 0.212849, 0.079624], [0.446366, -0.433631, -0.260162, 0.583056, -0.104111, -0.524855, -0.061817, 0.551309], [0.051085, -0.182773, -0.558961, 0.223127, 0.0959, -0.053083, -0.167304, 0.45557], [-0.405193, -0.20583, 0.486274, -0.320645, 0.283739, 0.290696, 0.559493, -0.218478], [0.767182, -0.549259, -0.297846, 0.456995, -0.379808, -0.182174, 0.160207, 0.492293], [0.160236, -0.031949, -0.256923, 0.104775, -0.558668, -0.328206, 0.074331, -0.096059], [0.37602, -0.204518, -0.149587, -0.053521, -0.314086, -0.345747, 0.105035, 0.386733], [-0.305225, -0.123673, 0.015045, -0.040957, 0.530659, 0.644937, 0.654424, -0.484584]], "network.8.bias": [-0.025644, 0.547532, 0.082101, -0.024433, -0.072346, 0.205706, 0.236997, 0.054701], "network.10.weight": [[0.162948, 0.513231, 0.039767, -0.557276, 0.480875, 0.086504, 0.319429, -0.630975]], "network.10.bias": [0.284449]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972621083259583, "train_acc": 0.455, "val_loss": 0.6880207657814026, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721917986869812, "train_acc": 0.565, "val_loss": 0.679250955581665, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6325342059135437, "train_acc": 0.565, "val_loss": 0.6060014963150024, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5892340838909149, "train_acc": 0.565, "val_loss": 0.502709150314331, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4365726411342621, "train_acc": 0.835, "val_loss": 0.37677520513534546, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2949417978525162, "train_acc": 0.885, "val_loss": 0.2983405292034149, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.17733172327280045, "train_acc": 0.925, "val_loss": 0.15010753273963928, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.1519113928079605, "train_acc": 0.945, "val_loss": 0.266846626996994, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.17918484658002853, "train_acc": 0.94, "val_loss": 0.15145736932754517, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2108784168958664, "train_acc": 0.945, "val_loss": 0.14836665987968445, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.13635316863656044, "train_acc": 0.965, "val_loss": 0.17383050918579102, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.13780797645449638, "train_acc": 0.955, "val_loss": 0.1907312273979187, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.10114514827728271, "train_acc": 0.96, "val_loss": 0.18601161241531372, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6880207657814026, "final_val_loss": 0.6060014963150024, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.502709150314331, "final_val_loss": 0.18601161241531372, "initial_val_acc": 0.72, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
282
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.64, "improved_accuracy": 0.8, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2222, "learning_rate": 0.04613908739013152, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.2.weight": [
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"network.6.weight": [
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]
}
## Activation Signature
### 0
fourier: [[19.505957, 20.120725, 20.173706, 21.113136, 21.380763, 24.237234, 25.341100, 25.457237, 25.513707, 30.559136], [18.986516, 20.354348, 20.403376, 21.775655, 23.651370, 26.497669, 27.726767, 27.899748, 28.058338, 38.240164], [14.373452, 14.444833, 14.913031, 14.991612, 15.806429, 19.488603, 20.297351, 20.778672, 21.664558, 32.504312], [19.319597, 19.681645, 21.269957, 21.506743, 22.493541, 23.014833, 24.240407, 26.647452, 29.117839, 32.839227], [24.672736, 25.171564, 25.279357, 26.145470, 26.832200, 28.893211, 30.204472, 36.928011, 37.711473, 183.688748], [25.854977, 26.859112, 27.398492, 29.393666, 31.824142, 32.245819, 33.382374, 34.717217, 41.955965, 134.589907], [31.873866, 32.659829, 35.195280, 35.487154, 36.994145, 38.317792, 38.506565, 38.834992, 42.996487, 169.846674], [20.717021, 21.474522, 21.590626, 22.499035, 23.532722, 23.588528, 27.949558, 30.564137, 34.250707, 111.579878]]
### 2
fourier: [[36.897676, 37.065557, 37.733475, 38.326223, 40.144607, 42.298516, 44.067947, 46.086101, 54.239845, 198.937276], [14.660844, 14.759759, 15.418812, 15.529432, 15.733834, 17.129122, 19.677904, 19.899731, 22.261685, 53.138952], [16.019765, 19.013060, 19.196849, 20.870046, 21.928199, 23.036601, 24.126629, 24.158810, 24.942989, 25.439123], [9.068093, 9.370318, 10.298703, 10.478087, 11.025514, 11.041299, 11.780127, 12.705857, 12.952578, 16.717252], [30.578140, 33.928966, 34.449651, 38.861938, 39.268450, 40.444309, 43.380981, 44.908507, 48.866382, 169.351807], [47.556018, 50.190516, 51.842036, 56.892234, 57.287476, 58.273550, 60.412398, 61.432002, 62.172904, 292.838663], [19.356375, 20.819553, 21.862260, 22.183122, 22.547750, 24.552306, 25.057185, 29.378538, 30.584440, 201.942190], [42.255738, 44.027732, 50.526535, 51.168355, 52.162390, 53.207668, 54.667962, 54.711342, 56.292444, 242.078092]]
### 4
fourier: [[52.776977, 53.840844, 61.807681, 62.039724, 62.789434, 63.242203, 66.853187, 67.185622, 74.231415, 336.567867], [75.398340, 78.228909, 86.514222, 86.834051, 88.895072, 93.684092, 93.915379, 98.994228, 103.429430, 373.608490], [27.770509, 27.826749, 31.398588, 31.992252, 32.430019, 32.955787, 33.122044, 33.159535, 38.539072, 161.330785], [10.562294, 11.636290, 12.690359, 13.049061, 14.967173, 15.062480, 16.246857, 17.525581, 18.009948, 18.332287], [52.460264, 57.077428, 59.018153, 60.157264, 61.680874, 64.950658, 68.239350, 73.301042, 73.803816, 299.537060], [17.153741, 18.137023, 19.940131, 20.896176, 20.929781, 21.315914, 22.545758, 22.578283, 25.777209, 145.503423], [15.954257, 16.051680, 17.166068, 18.011566, 18.111362, 21.272958, 22.286880, 22.808784, 25.519122, 114.324464], [54.323573, 57.081409, 58.967299, 61.660879, 61.947210, 66.365730, 67.167062, 69.669967, 72.669627, 283.447056]]
### 6
fourier: [[118.863676, 126.309536, 132.645447, 133.003437, 136.554119, 144.118201, 150.908613, 157.744829, 166.170712, 598.487228], [100.098285, 104.336359, 111.841695, 112.765739, 114.878398, 121.669027, 124.478328, 128.968272, 138.628242, 494.764564], [87.853818, 95.353299, 96.184549, 98.347333, 100.461468, 104.987525, 114.052459, 119.523245, 124.523623, 491.017420], [3.772150, 3.837433, 3.904474, 4.070465, 4.130413, 4.228953, 4.416732, 4.511284, 4.604970, 57.961667], [39.231942, 40.751655, 44.398306, 44.541651, 45.677359, 47.881481, 48.871526, 50.820885, 54.403738, 205.743602], [15.928394, 16.070596, 18.376035, 18.980646, 19.176087, 19.491049, 20.078005, 20.147474, 22.011734, 61.980128], [101.991700, 106.201470, 113.520060, 113.986161, 116.816533, 122.085704, 127.942749, 131.468423, 142.847618, 531.914561], [50.801313, 51.036459, 52.353963, 54.354826, 59.712162, 61.841764, 66.537308, 69.715207, 73.020939, 219.310376]]
### 8
fourier: [[182.491695, 193.895524, 201.241408, 203.453485, 207.778782, 220.304351, 229.844059, 240.557509, 256.707560, 892.252346]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[19.505957, 20.120725, 20.173706, 21.113136, 21.380763, 24.237234, 25.341100, 25.457237, 25.513707, 30.559136], [18.986516, 20.354348, 20.403376, 21.775655, 23.651370, 26.497669, 27.726767, 27.899748, 28.058338, 38.240164], [14.373452, 14.444833, 14.913031, 14.991612, 15.806429, 19.488603, 20.297351, 20.778672, 21.664558, 32.504312], [19.319597, 19.681645, 21.269957, 21.506743, 22.493541, 23.014833, 24.240407, 26.647452, 29.117839, 32.839227], [24.672736, 25.171564, 25.279357, 26.145470, 26.832200, 28.893211, 30.204472, 36.928011, 37.711473, 183.688748], [25.854977, 26.859112, 27.398492, 29.393666, 31.824142, 32.245819, 33.382374, 34.717217, 41.955965, 134.589907], [31.873866, 32.659829, 35.195280, 35.487154, 36.994145, 38.317792, 38.506565, 38.834992, 42.996487, 169.846674], [20.717021, 21.474522, 21.590626, 22.499035, 23.532722, 23.588528, 27.949558, 30.564137, 34.250707, 111.579878]]
### 2
fourier: [[36.897676, 37.065557, 37.733475, 38.326223, 40.144607, 42.298516, 44.067947, 46.086101, 54.239845, 198.937276], [14.660844, 14.759759, 15.418812, 15.529432, 15.733834, 17.129122, 19.677904, 19.899731, 22.261685, 53.138952], [16.019765, 19.013060, 19.196849, 20.870046, 21.928199, 23.036601, 24.126629, 24.158810, 24.942989, 25.439123], [9.068093, 9.370318, 10.298703, 10.478087, 11.025514, 11.041299, 11.780127, 12.705857, 12.952578, 16.717252], [30.578140, 33.928966, 34.449651, 38.861938, 39.268450, 40.444309, 43.380981, 44.908507, 48.866382, 169.351807], [47.556018, 50.190516, 51.842036, 56.892234, 57.287476, 58.273550, 60.412398, 61.432002, 62.172904, 292.838663], [19.356375, 20.819553, 21.862260, 22.183122, 22.547750, 24.552306, 25.057185, 29.378538, 30.584440, 201.942190], [42.255738, 44.027732, 50.526535, 51.168355, 52.162390, 53.207668, 54.667962, 54.711342, 56.292444, 242.078092]]
### 4
fourier: [[52.776977, 53.840844, 61.807681, 62.039724, 62.789434, 63.242203, 66.853187, 67.185622, 74.231415, 336.567867], [75.398340, 78.228909, 86.514222, 86.834051, 88.895072, 93.684092, 93.915379, 98.994228, 103.429430, 373.608490], [27.770509, 27.826749, 31.398588, 31.992252, 32.430019, 32.955787, 33.122044, 33.159535, 38.539072, 161.330785], [10.562294, 11.636290, 12.690359, 13.049061, 14.967173, 15.062480, 16.246857, 17.525581, 18.009948, 18.332287], [52.460264, 57.077428, 59.018153, 60.157264, 61.680874, 64.950658, 68.239350, 73.301042, 73.803816, 299.537060], [17.153741, 18.137023, 19.940131, 20.896176, 20.929781, 21.315914, 22.545758, 22.578283, 25.777209, 145.503423], [15.954257, 16.051680, 17.166068, 18.011566, 18.111362, 21.272958, 22.286880, 22.808784, 25.519122, 114.324464], [54.323573, 57.081409, 58.967299, 61.660879, 61.947210, 66.365730, 67.167062, 69.669967, 72.669627, 283.447056]]
### 6
fourier: [[118.863676, 126.309536, 132.645447, 133.003437, 136.554119, 144.118201, 150.908613, 157.744829, 166.170712, 598.487228], [100.098285, 104.336359, 111.841695, 112.765739, 114.878398, 121.669027, 124.478328, 128.968272, 138.628242, 494.764564], [87.853818, 95.353299, 96.184549, 98.347333, 100.461468, 104.987525, 114.052459, 119.523245, 124.523623, 491.017420], [3.772150, 3.837433, 3.904474, 4.070465, 4.130413, 4.228953, 4.416732, 4.511284, 4.604970, 57.961667], [39.231942, 40.751655, 44.398306, 44.541651, 45.677359, 47.881481, 48.871526, 50.820885, 54.403738, 205.743602], [15.928394, 16.070596, 18.376035, 18.980646, 19.176087, 19.491049, 20.078005, 20.147474, 22.011734, 61.980128], [101.991700, 106.201470, 113.520060, 113.986161, 116.816533, 122.085704, 127.942749, 131.468423, 142.847618, 531.914561], [50.801313, 51.036459, 52.353963, 54.354826, 59.712162, 61.841764, 66.537308, 69.715207, 73.020939, 219.310376]]
### 8
fourier: [[182.491695, 193.895524, 201.241408, 203.453485, 207.778782, 220.304351, 229.844059, 240.557509, 256.707560, 892.252346]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": {"fourier": [19.505956687659165, 20.120724502251687, 20.173705576226606, 21.113135510043755, 21.380763492145498, 24.237233995112305, 25.341100009695676, 25.457236526451133, 25.513706732954194, 30.559135638177395]}, "1": {"fourier": [18.98651645779419, 20.35434777195524, 20.40337632227952, 21.775655154709597, 23.65136950295137, 26.497668892060066, 27.726766920372587, 27.899748121954126, 28.058338209166955, 38.24016362428665]}, "2": {"fourier": [14.37345216198926, 14.444832657597955, 14.91303125378051, 14.991611754579198, 15.806429317866447, 19.488603152192653, 20.29735133861082, 20.778671754021374, 21.66455792751345, 32.50431232154369]}, "3": {"fourier": [19.31959717632225, 19.68164491032653, 21.26995660248573, 21.50674333061017, 22.49354147260555, 23.014832646747845, 24.240406837534724, 26.6474523624526, 29.117839318426395, 32.83922679722309]}, "4": {"fourier": [24.672735949875225, 25.171564083236127, 25.279356766707345, 26.14547047189247, 26.832200095045387, 28.893211079927205, 30.204471719281123, 36.928010732146205, 37.71147325516619, 183.6887482702732]}, "5": {"fourier": [25.854976535329953, 26.85911176977345, 27.398491571347197, 29.39366597940302, 31.824142455425037, 32.24581915950674, 33.382374490439005, 34.717217042553806, 41.95596508220466, 134.58990675210953]}, "6": {"fourier": [31.87386565764943, 32.65982864702247, 35.19527985233254, 35.48715399514122, 36.99414485914145, 38.31779240771171, 38.5065651003215, 38.83499239693483, 42.99648696623152, 169.84667392075062]}, "7": {"fourier": [20.717021260233327, 21.474521975677238, 21.590625841331967, 22.499035494181314, 23.532721622012893, 23.58852768172022, 27.949558368752648, 30.564137192250914, 34.25070743719736, 111.57987761497498]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [36.89767599220566, 37.06555677421787, 37.7334751527592, 38.3262234877466, 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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": [[-0.742524, 0.2601, 0.43066, -0.439972, 0.05008], [0.652831, -0.403927, 0.18368, 0.14112, -0.567232], [0.370937, -0.493808, 0.221455, 0.29862, -0.388882], [-0.449314, 0.37224, -0.49134, -0.142569, 0.575171], [0.357435, 0.419832, 0.440495, -0.002422, 0.308863], [0.875774, 0.12512, -0.129464, -0.165872, 0.256662], [0.946718, 0.454735, 0.029415, -0.135649, -0.072656], [0.206038, 0.480329, 0.102878, 0.184101, -0.681995]], "network.0.bias": [0.092652, 0.361798, 0.176029, 0.13867, -0.464732, 0.487184, 0.199474, 0.339538], "network.2.weight": [[0.213896, 0.719446, 0.578966, -0.370965, -0.294092, 0.33694, 0.505771, 0.448681], [-0.159484, -0.540113, 0.050711, 0.047345, 0.330368, -0.151446, -0.224913, -0.322368], [0.4939, -0.34033, -0.051242, 0.433613, 0.077764, 0.148667, -0.467222, -0.05535], [0.088661, -0.331607, -0.193749, -0.469058, -0.214653, 0.128547, 0.337412, 0.08793], [-0.275684, 0.659123, 0.414552, -0.146801, 0.151271, 0.388287, 0.323781, -0.213195], [0.359019, 0.131337, 0.144511, 0.094, 0.276503, 0.5353, 0.733252, 0.384052], [-0.430297, 0.18998, 0.298873, -0.834616, -0.445135, -0.458472, 0.221268, -0.517302], [-0.290344, 0.549309, 0.08402, -0.181383, 0.116416, 0.526482, 0.5135, 0.298413]], "network.2.bias": [-0.016015, 0.223759, 0.230056, 0.089163, 0.172689, -0.301211, -0.222096, 0.059541], "network.4.weight": [[0.535347, -0.25549, 0.392064, 0.134126, -0.135114, 0.544737, 0.08477, 0.295746], [0.457352, -0.041374, -0.319025, 0.221561, 0.693038, 0.276903, -0.360545, 0.48905], [-0.347897, 0.30764, -0.085309, -0.270144, 0.027159, -0.315983, 0.100743, 0.011684], [-0.153011, 0.422167, 0.279612, -0.465693, -0.134264, 0.214486, 0.180228, -0.191592], [0.243762, 0.350031, -0.372062, -0.08496, 0.685198, -0.067639, -0.198274, 0.566185], [-0.167146, 0.066261, 0.092487, 0.50417, -0.011235, -0.284321, 0.028778, -0.015294], [0.654327, -0.341707, -0.017668, 0.076185, 0.346973, -0.291519, -0.247215, -0.161265], [0.314265, 0.250377, -0.510682, 0.06949, 0.294514, 0.131405, -0.619015, 0.57228]], "network.4.bias": [0.143497, -0.27282, 0.008085, 0.385793, 0.388652, -0.421185, 0.504656, 0.076797], "network.6.weight": [[0.034374, 0.651311, 0.24169, -0.337333, 0.596026, 0.203973, 0.511933, 0.483567], [0.282122, 0.502294, 0.251608, -0.50955, 0.27365, 0.182519, 0.334218, 0.452245], [-0.162275, 0.329048, 0.069033, -0.011819, 0.604025, -0.119463, 0.636091, 0.547612], [-0.050838, 0.175894, -0.044889, -0.015428, 0.101184, 0.254746, -0.360008, -0.242061], [-0.058208, -0.239164, 0.219535, 0.070999, -0.022335, -0.53193, -0.099696, -0.270382], [-0.008625, -0.375034, -0.148836, 0.060922, 0.227664, -0.102329, 0.024017, 0.012911], [0.331672, 0.609624, 0.564035, -0.51757, 0.173905, -0.205918, 0.656378, 0.299631], [0.482158, -0.45039, -0.430731, 0.50832, -0.17204, -0.371309, -0.562093, -0.398299]], "network.6.bias": [-0.096389, -0.149771, 0.266218, -0.301477, -0.111587, 0.04265, 0.034642, -0.068981], "network.8.weight": [[-0.545613, -0.419971, -0.507385, -0.023243, -0.067077, -0.050078, -0.289862, 0.577082]], "network.8.bias": [0.404557]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7055483460426331, "train_acc": 0.47, "val_loss": 0.6572872996330261, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6163407862186432, "train_acc": 0.54, "val_loss": 0.577473521232605, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.536480575799942, "train_acc": 0.73, "val_loss": 0.47791576385498047, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4743456691503525, "train_acc": 0.775, "val_loss": 0.49519363045692444, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4221974313259125, "train_acc": 0.815, "val_loss": 0.43081921339035034, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.39364442229270935, "train_acc": 0.825, "val_loss": 0.4480126202106476, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.38248948752880096, "train_acc": 0.83, "val_loss": 0.4506332278251648, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.38899265229701996, "train_acc": 0.82, "val_loss": 0.40291810035705566, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5144929885864258, "train_acc": 0.81, "val_loss": 0.4177040159702301, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3478241115808487, "train_acc": 0.85, "val_loss": 0.5171745419502258, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4353579580783844, "train_acc": 0.785, "val_loss": 0.4786321222782135, "val_acc": 0.76}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6572872996330261, "final_val_loss": 0.577473521232605, "initial_val_acc": 0.52, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.47791576385498047, "final_val_loss": 0.4786321222782135, "initial_val_acc": 0.74, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
283
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2526, "learning_rate": 0.031831087022235686, "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: 7
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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}
## Activation Signature
### 0
fourier: [[24.639677, 24.938440, 26.712888, 28.855864, 32.614679, 33.571234, 34.046352, 34.753863, 36.560990, 103.836305], [18.208043, 18.319740, 21.003403, 21.174478, 21.243215, 23.240788, 24.038829, 27.907223, 33.877273, 77.172222], [11.076334, 11.132386, 11.479979, 11.859768, 11.937276, 12.078400, 12.387975, 12.554825, 12.792377, 60.816352], [19.607673, 22.965747, 24.710734, 24.960778, 26.375263, 27.629796, 27.680595, 29.233917, 30.002037, 67.094896], [27.757979, 28.664274, 29.168127, 29.617951, 29.752877, 35.035229, 37.393980, 39.548388, 41.093497, 152.034826], [16.812623, 19.586280, 20.658561, 23.158209, 23.546946, 23.796712, 24.696627, 24.985108, 34.311974, 52.867836], [17.219511, 17.600774, 17.827727, 18.117327, 18.456231, 18.986006, 21.056028, 25.509537, 27.482215, 35.243117]]
### 2
fourier: [[12.784044, 13.358616, 15.527984, 15.887872, 17.653364, 17.798888, 18.984856, 20.571576, 21.453324, 43.910494], [31.194632, 31.434552, 31.990551, 33.227772, 33.545707, 34.120767, 34.720167, 38.163441, 40.660858, 42.350027], [13.875595, 14.012727, 15.219107, 15.960116, 15.968047, 16.446515, 16.641172, 20.642448, 23.366600, 93.780910], [11.870206, 12.323406, 12.341427, 13.258802, 13.587221, 13.914469, 13.967254, 14.051595, 14.380327, 77.033633], [21.309612, 21.396498, 22.442460, 23.286793, 24.192029, 24.253795, 25.557050, 26.638752, 28.677828, 56.576294], [9.517816, 9.743720, 9.820279, 9.988843, 10.425795, 11.162736, 12.751405, 12.855622, 16.774776, 67.330880], [10.836306, 11.792468, 12.012696, 12.253021, 12.536713, 12.787034, 13.311530, 15.248029, 15.698557, 65.789054]]
### 4
fourier: [[22.930164, 24.418083, 25.053966, 26.441650, 27.760218, 28.625392, 31.235445, 35.508129, 36.960057, 42.062234], [18.708050, 19.689787, 20.227100, 21.085365, 21.377151, 22.556672, 24.479244, 25.996142, 27.838321, 29.701505], [8.679693, 9.332725, 9.402629, 9.451633, 9.667514, 9.746472, 10.227711, 10.893219, 15.905165, 29.530988], [14.092387, 14.238136, 15.334918, 16.856789, 18.698398, 19.827710, 23.664462, 23.836715, 24.455871, 67.188035], [21.225242, 21.526860, 21.899890, 22.138617, 24.634398, 26.274335, 29.389723, 30.041985, 30.781286, 33.938460], [7.743637, 8.034465, 9.354473, 9.388779, 10.909250, 11.385889, 12.522493, 12.585260, 12.874971, 70.730410], [28.070283, 28.611314, 28.960483, 31.083786, 31.785271, 33.866619, 35.457205, 38.930507, 40.605332, 46.481853]]
### 6
fourier: [[8.879104, 9.068207, 9.114293, 9.160746, 9.230224, 9.681769, 10.321904, 10.464034, 10.603818, 80.676752], [15.500534, 15.585015, 16.181765, 16.801137, 17.254153, 17.640628, 18.160299, 19.151865, 21.256164, 67.769433], [11.304252, 11.579114, 11.777894, 11.788559, 12.017228, 12.137808, 13.041884, 13.528854, 13.870537, 115.436338], [12.456220, 13.201562, 13.374622, 13.994525, 14.667985, 14.813635, 15.574055, 18.761638, 18.962176, 195.508040], [13.097126, 13.145017, 13.737975, 15.218145, 15.315383, 15.465474, 17.503238, 19.030114, 21.474552, 188.670818], [9.299573, 10.380960, 10.599167, 10.687567, 10.974483, 11.117512, 11.377797, 13.680169, 15.121812, 145.410179], [14.463720, 15.072361, 15.259697, 15.709077, 16.409704, 17.313156, 17.929069, 21.262679, 25.330399, 187.684843]]
### 8
fourier: [[48.354675, 48.440562, 50.154587, 50.789742, 55.546026, 55.786878, 61.809443, 67.562604, 76.296985, 610.916454]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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.0.bias": [
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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"network.6.weight": [
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"network.8.weight": [
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],
"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[24.639677, 24.938440, 26.712888, 28.855864, 32.614679, 33.571234, 34.046352, 34.753863, 36.560990, 103.836305], [18.208043, 18.319740, 21.003403, 21.174478, 21.243215, 23.240788, 24.038829, 27.907223, 33.877273, 77.172222], [11.076334, 11.132386, 11.479979, 11.859768, 11.937276, 12.078400, 12.387975, 12.554825, 12.792377, 60.816352], [19.607673, 22.965747, 24.710734, 24.960778, 26.375263, 27.629796, 27.680595, 29.233917, 30.002037, 67.094896], [27.757979, 28.664274, 29.168127, 29.617951, 29.752877, 35.035229, 37.393980, 39.548388, 41.093497, 152.034826], [16.812623, 19.586280, 20.658561, 23.158209, 23.546946, 23.796712, 24.696627, 24.985108, 34.311974, 52.867836], [17.219511, 17.600774, 17.827727, 18.117327, 18.456231, 18.986006, 21.056028, 25.509537, 27.482215, 35.243117]]
### 2
fourier: [[12.784044, 13.358616, 15.527984, 15.887872, 17.653364, 17.798888, 18.984856, 20.571576, 21.453324, 43.910494], [31.194632, 31.434552, 31.990551, 33.227772, 33.545707, 34.120767, 34.720167, 38.163441, 40.660858, 42.350027], [13.875595, 14.012727, 15.219107, 15.960116, 15.968047, 16.446515, 16.641172, 20.642448, 23.366600, 93.780910], [11.870206, 12.323406, 12.341427, 13.258802, 13.587221, 13.914469, 13.967254, 14.051595, 14.380327, 77.033633], [21.309612, 21.396498, 22.442460, 23.286793, 24.192029, 24.253795, 25.557050, 26.638752, 28.677828, 56.576294], [9.517816, 9.743720, 9.820279, 9.988843, 10.425795, 11.162736, 12.751405, 12.855622, 16.774776, 67.330880], [10.836306, 11.792468, 12.012696, 12.253021, 12.536713, 12.787034, 13.311530, 15.248029, 15.698557, 65.789054]]
### 4
fourier: [[22.930164, 24.418083, 25.053966, 26.441650, 27.760218, 28.625392, 31.235445, 35.508129, 36.960057, 42.062234], [18.708050, 19.689787, 20.227100, 21.085365, 21.377151, 22.556672, 24.479244, 25.996142, 27.838321, 29.701505], [8.679693, 9.332725, 9.402629, 9.451633, 9.667514, 9.746472, 10.227711, 10.893219, 15.905165, 29.530988], [14.092387, 14.238136, 15.334918, 16.856789, 18.698398, 19.827710, 23.664462, 23.836715, 24.455871, 67.188035], [21.225242, 21.526860, 21.899890, 22.138617, 24.634398, 26.274335, 29.389723, 30.041985, 30.781286, 33.938460], [7.743637, 8.034465, 9.354473, 9.388779, 10.909250, 11.385889, 12.522493, 12.585260, 12.874971, 70.730410], [28.070283, 28.611314, 28.960483, 31.083786, 31.785271, 33.866619, 35.457205, 38.930507, 40.605332, 46.481853]]
### 6
fourier: [[8.879104, 9.068207, 9.114293, 9.160746, 9.230224, 9.681769, 10.321904, 10.464034, 10.603818, 80.676752], [15.500534, 15.585015, 16.181765, 16.801137, 17.254153, 17.640628, 18.160299, 19.151865, 21.256164, 67.769433], [11.304252, 11.579114, 11.777894, 11.788559, 12.017228, 12.137808, 13.041884, 13.528854, 13.870537, 115.436338], [12.456220, 13.201562, 13.374622, 13.994525, 14.667985, 14.813635, 15.574055, 18.761638, 18.962176, 195.508040], [13.097126, 13.145017, 13.737975, 15.218145, 15.315383, 15.465474, 17.503238, 19.030114, 21.474552, 188.670818], [9.299573, 10.380960, 10.599167, 10.687567, 10.974483, 11.117512, 11.377797, 13.680169, 15.121812, 145.410179], [14.463720, 15.072361, 15.259697, 15.709077, 16.409704, 17.313156, 17.929069, 21.262679, 25.330399, 187.684843]]
### 8
fourier: [[48.354675, 48.440562, 50.154587, 50.789742, 55.546026, 55.786878, 61.809443, 67.562604, 76.296985, 610.916454]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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9.114293061457094, 9.160745670140257, 9.230223512757586, 9.681769093345071, 10.321903972890457, 10.464033783886476, 10.603817873807268, 80.67675206065178]}, "1": {"fourier": [15.50053448653838, 15.58501537801218, 16.18176531592324, 16.80113685375303, 17.25415278428455, 17.640627853011644, 18.160298667648846, 19.151864850869817, 21.256164177276286, 67.76943296194077]}, "2": {"fourier": [11.304251650647947, 11.579113912860716, 11.777894275392542, 11.788558719660179, 12.017227648044184, 12.137808067087564, 13.041884074171435, 13.52885425290499, 13.870536674530245, 115.43633829057217]}, "3": {"fourier": [12.456219701178943, 13.201562006852612, 13.374622223420516, 13.994524633377333, 14.667984935665423, 14.813634619996535, 15.574054579523969, 18.761637967466662, 18.962175998402834, 195.50803980231285]}, "4": {"fourier": [13.097126467246746, 13.145017226969154, 13.737974841961694, 15.218144907086803, 15.315382664360053, 15.465474160783932, 17.503237935662916, 19.03011426117385, 21.474552187135906, 188.6708175688982]}, "5": {"fourier": [9.299573330655202, 10.380960088885354, 10.599167248191588, 10.687567013680908, 10.974483224443684, 11.117511780453597, 11.37779692216221, 13.680168528849899, 15.121811789571073, 145.4101786315441]}, "6": {"fourier": [14.463720371134896, 15.07236143076234, 15.259697446260557, 15.709076706685991, 16.40970376233389, 17.313156158818856, 17.929069076951368, 21.262679447561965, 25.33039909562721, 187.68484303355217]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [48.35467462599129, 48.44056219728745, 50.15458715376133, 50.78974180323377, 55.546025959796026, 55.7868783497042, 61.809442623695816, 67.56260446424552, 76.29698508292888, 610.9164544939995]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.540309, 0.519201, 0.19184, -0.010968, -0.670632], [-0.016702, -0.36723, 0.293128, -0.398416, 0.386801], [-0.116954, 0.171752, 0.042353, 0.278031, -0.19157], [0.689345, 0.277826, -0.045397, -0.131532, 0.068552], [-0.802443, 0.491959, 0.110862, 0.089014, 0.898777], [-0.699159, 0.2264, -0.042725, -0.005185, -0.100313], [0.128077, 0.080589, 0.051417, 0.275895, -0.732651]], "network.0.bias": [-0.014845, -0.402495, 0.059887, -0.326268, 0.260458, 0.094179, 0.289912], "network.2.weight": [[-0.067279, -0.243882, 0.036199, 0.632018, -0.181312, -0.433486, 0.024129], [0.351015, -0.959373, 0.169778, 0.562206, -0.734967, 0.209935, 0.092834], [-0.04332, 0.119109, -0.060735, -0.467172, -0.473229, 0.141178, 0.342531], [-0.410467, 0.081691, 0.221877, -0.125967, -0.323712, -0.224667, 0.331841], [0.606861, -0.255888, -0.233275, 0.110083, -0.341808, -0.695673, 0.43377], [0.24234, -0.073025, 0.381177, -0.264049, 0.041775, -0.118351, 0.411654], [-0.242423, 0.164947, 0.280872, -0.191318, -0.390391, 0.00031, 0.230782]], "network.2.bias": [0.422849, -0.125606, 0.03971, 0.035229, 0.30172, 0.060284, 0.103659], "network.4.weight": [[-0.359226, -0.602231, -0.391525, -0.738222, -0.614105, 0.320015, -0.538767], [-0.461324, -0.115684, -0.235623, -0.602702, -0.670082, -0.221614, -0.458555], [-0.426435, -0.061569, 0.263, 0.392618, 0.642459, 0.308057, 0.375976], [0.171283, 0.597098, -0.508339, -0.495729, 0.063989, -0.63938, -0.523797], [-0.679187, -0.326945, -0.727683, -0.070912, -0.42863, 0.077936, -0.575222], [0.047147, 0.567778, -0.804608, -0.155569, -0.157769, 0.083856, -0.563289], [-0.644883, -0.821076, -0.548352, -0.721855, -0.358855, 0.253199, -0.77918]], "network.4.bias": [0.72649, 0.831575, -0.108863, 0.64283, 0.432788, 0.455538, 0.437348], "network.6.weight": [[0.36495, 0.293888, -0.453286, 0.094778, 0.737455, 0.514206, 0.401675], [-0.942698, -0.830393, 0.865274, -0.388473, -0.637605, -0.248377, -0.583396], [0.549869, 0.511762, -0.697189, 0.220845, 0.840088, 0.432886, 0.28018], [0.805473, 0.888064, -0.146323, 0.630625, 0.525636, 0.430807, 0.726976], [0.598378, 0.846967, -0.342235, 0.673037, 0.581777, 0.589525, 0.823467], [1.020669, 0.321503, -0.169563, 0.439656, 0.290836, 0.468583, 0.283391], [0.380301, 0.913149, -0.543835, 0.782166, 0.83307, 0.715346, 0.448973]], "network.6.bias": [0.003832, 0.611148, 0.271837, 0.296027, 0.234606, 0.162998, 0.315256], "network.8.weight": [[-0.532987, 0.71577, -0.644887, -1.023313, -0.654299, -0.517691, -0.771433]], "network.8.bias": [0.309278]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7127546966075897, "train_acc": 0.435, "val_loss": 0.6938869953155518, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6923922300338745, "train_acc": 0.47, "val_loss": 0.6852167248725891, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6710047721862793, "train_acc": 0.565, "val_loss": 0.6625845432281494, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6450448930263519, "train_acc": 0.58, "val_loss": 0.607475757598877, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5808216631412506, "train_acc": 0.69, "val_loss": 0.5113847255706787, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.48694348335266113, "train_acc": 0.81, "val_loss": 0.4298277199268341, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4150742292404175, "train_acc": 0.825, "val_loss": 0.3292735815048218, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.36398184299468994, "train_acc": 0.86, "val_loss": 0.2566794157028198, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.27846790850162506, "train_acc": 0.9, "val_loss": 0.2199874073266983, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.22167784720659256, "train_acc": 0.945, "val_loss": 0.20255856215953827, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.19318730384111404, "train_acc": 0.935, "val_loss": 0.22111454606056213, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.1261930763721466, "train_acc": 0.955, "val_loss": 0.15504594147205353, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.1097455807030201, "train_acc": 0.98, "val_loss": 0.11984572559595108, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.06272351555526257, "train_acc": 0.985, "val_loss": 0.0738859474658966, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6938869953155518, "final_val_loss": 0.607475757598877, "initial_val_acc": 0.48, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5113847255706787, "final_val_loss": 0.0738859474658966, "initial_val_acc": 0.76, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.3999999999999999, "first_improvement_epoch": 3}}
|
284
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8312, "learning_rate": 0.06424943881043178, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.4626,
0.37115,
-0.220517,
-0.093388,
-0.003283
],
[
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0.278184,
-0.373829,
-0.307146
],
[
-0.013104,
0.365299,
0.55403,
-0.127367,
-0.164448
],
[
0.028887,
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0.19487,
0.156742,
0.29397
],
[
0.575855,
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0.184692,
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],
[
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0.161175
]
],
"network.0.bias": [
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0.501422
],
"network.2.weight": [
[
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],
[
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0.44437,
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0.248819
],
[
0.091709,
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0.116005
],
[
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0.041148,
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],
[
0.377295,
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0.657081,
0.343406
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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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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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[17.042210, 17.625956, 17.700007, 17.780108, 19.242515, 19.313698, 19.668338, 20.081326, 21.245166, 39.362136], [23.229841, 23.299571, 24.673830, 25.067386, 25.767611, 26.363780, 26.704592, 28.002598, 31.724363, 55.207801], [18.897452, 19.635572, 21.129788, 21.153746, 21.337394, 21.447973, 21.730662, 21.912579, 27.741239, 112.442533], [13.102165, 13.352931, 13.412068, 13.792431, 14.506113, 16.077399, 18.566995, 19.334356, 20.773079, 75.270813], [16.260600, 17.727629, 18.032002, 19.701141, 20.425290, 21.134894, 21.601859, 22.501997, 26.880708, 91.172318], [17.909186, 18.450901, 18.675518, 19.351176, 19.516501, 20.435667, 20.707105, 22.703566, 23.074309, 102.979306]]
### 2
fourier: [[20.512032, 20.660893, 21.238526, 21.690074, 22.206803, 22.816719, 23.016749, 23.219100, 23.622913, 25.371601], [11.448889, 12.521671, 13.135717, 13.542094, 13.572093, 14.144930, 15.571743, 15.890846, 18.155637, 167.572169], [20.519961, 21.974344, 22.065234, 22.137611, 22.560421, 22.835013, 23.664149, 27.421763, 28.703616, 92.171322], [15.141168, 15.590526, 15.922022, 17.572818, 17.913623, 18.047947, 18.615178, 19.444816, 19.727487, 113.890416], [32.283074, 32.851421, 33.338295, 33.461944, 33.660664, 35.109589, 36.355892, 41.888664, 42.365056, 136.402215], [8.786262, 8.957952, 9.016429, 9.426151, 9.838681, 10.528769, 10.601046, 11.279290, 11.776639, 19.730345]]
### 4
fourier: [[5.605355, 5.712549, 6.035931, 6.227777, 6.270760, 6.535876, 7.669749, 7.901605, 9.389483, 61.904206], [27.062201, 27.120240, 29.431004, 29.711975, 31.277705, 32.101840, 32.240402, 32.303542, 34.052556, 116.044447], [14.895341, 15.104420, 15.352038, 16.676463, 17.021232, 17.303735, 17.522725, 19.833687, 19.955647, 151.133355], [12.543098, 13.467692, 13.940491, 14.091752, 14.426091, 14.813451, 15.790300, 18.953533, 21.451368, 149.695904], [4.670141, 4.802873, 5.239295, 5.247213, 5.558089, 5.580249, 5.691585, 6.397211, 6.529275, 16.659865], [10.028452, 10.373864, 11.255966, 11.909444, 12.587222, 13.808950, 13.908099, 15.243649, 16.310862, 76.915871]]
### 6
fourier: [[5.689366, 6.040430, 6.367774, 6.492955, 6.756461, 6.812562, 8.222223, 8.522042, 9.351963, 97.274124], [10.292139, 11.338663, 12.195398, 12.995843, 13.501177, 13.858670, 14.471007, 14.952439, 16.144376, 72.061836], [20.264318, 20.834097, 22.116116, 22.235737, 22.592924, 25.580129, 26.609950, 26.652149, 26.866433, 55.559974], [5.926790, 6.206430, 6.643309, 6.712749, 6.754352, 7.037703, 7.341831, 8.624028, 9.439522, 100.289165], [18.919465, 19.125898, 19.947034, 21.603314, 22.520436, 22.568756, 22.964114, 23.754913, 24.654511, 60.503159], [12.332218, 12.813626, 14.156137, 14.689639, 14.958826, 15.515196, 15.814874, 15.871270, 16.887745, 88.171472]]
### 8
fourier: [[24.864708, 25.457391, 26.852835, 27.459809, 28.718282, 29.661422, 30.044791, 31.371523, 34.558088, 114.393562], [10.218164, 10.352421, 10.814003, 11.446721, 12.237005, 13.274605, 13.385208, 13.416148, 14.153413, 14.750981], [6.171730, 6.293399, 6.476742, 7.439349, 7.825700, 8.831381, 9.509987, 10.237726, 10.608573, 30.884316], [17.890925, 18.199342, 19.379457, 21.727386, 22.057273, 22.928887, 24.406649, 24.473914, 26.377547, 57.955315], [27.050629, 28.987464, 28.993433, 32.321035, 32.331888, 33.275330, 34.834525, 35.871634, 39.126584, 134.335770], [13.557088, 13.692890, 14.837161, 16.262781, 16.695208, 17.397594, 18.111195, 18.558799, 20.025908, 40.007283]]
### 10
fourier: [[37.166485, 37.205985, 40.834299, 41.655791, 42.701381, 43.476150, 44.821348, 44.946996, 50.571437, 188.428008]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.4626,
0.37115,
-0.220517,
-0.093388,
-0.003283
],
[
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0.278184,
-0.373829,
-0.307146
],
[
-0.013104,
0.365299,
0.55403,
-0.127367,
-0.164448
],
[
0.028887,
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0.19487,
0.156742,
0.29397
],
[
0.575855,
0.216127,
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0.184692,
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],
[
0.583491,
0.200535,
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0.02449,
0.161175
]
],
"network.0.bias": [
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0.435494,
0.294864,
0.501422
],
"network.2.weight": [
[
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[
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0.44437,
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0.060934,
0.248819
],
[
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0.404253,
0.116005
],
[
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],
[
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0.283551,
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0.657081,
0.343406
],
[
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0.291334,
0.021606
]
],
"network.2.bias": [
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],
"network.4.weight": [
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0.520657,
0.169788
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[
0.423205,
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0.229494
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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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[
0.552018,
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[
0.040997,
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0.718135,
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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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[
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]
],
"network.10.bias": [
0.03869
]
}
## Activation Signature
### 0
fourier: [[17.042210, 17.625956, 17.700007, 17.780108, 19.242515, 19.313698, 19.668338, 20.081326, 21.245166, 39.362136], [23.229841, 23.299571, 24.673830, 25.067386, 25.767611, 26.363780, 26.704592, 28.002598, 31.724363, 55.207801], [18.897452, 19.635572, 21.129788, 21.153746, 21.337394, 21.447973, 21.730662, 21.912579, 27.741239, 112.442533], [13.102165, 13.352931, 13.412068, 13.792431, 14.506113, 16.077399, 18.566995, 19.334356, 20.773079, 75.270813], [16.260600, 17.727629, 18.032002, 19.701141, 20.425290, 21.134894, 21.601859, 22.501997, 26.880708, 91.172318], [17.909186, 18.450901, 18.675518, 19.351176, 19.516501, 20.435667, 20.707105, 22.703566, 23.074309, 102.979306]]
### 2
fourier: [[20.512032, 20.660893, 21.238526, 21.690074, 22.206803, 22.816719, 23.016749, 23.219100, 23.622913, 25.371601], [11.448889, 12.521671, 13.135717, 13.542094, 13.572093, 14.144930, 15.571743, 15.890846, 18.155637, 167.572169], [20.519961, 21.974344, 22.065234, 22.137611, 22.560421, 22.835013, 23.664149, 27.421763, 28.703616, 92.171322], [15.141168, 15.590526, 15.922022, 17.572818, 17.913623, 18.047947, 18.615178, 19.444816, 19.727487, 113.890416], [32.283074, 32.851421, 33.338295, 33.461944, 33.660664, 35.109589, 36.355892, 41.888664, 42.365056, 136.402215], [8.786262, 8.957952, 9.016429, 9.426151, 9.838681, 10.528769, 10.601046, 11.279290, 11.776639, 19.730345]]
### 4
fourier: [[5.605355, 5.712549, 6.035931, 6.227777, 6.270760, 6.535876, 7.669749, 7.901605, 9.389483, 61.904206], [27.062201, 27.120240, 29.431004, 29.711975, 31.277705, 32.101840, 32.240402, 32.303542, 34.052556, 116.044447], [14.895341, 15.104420, 15.352038, 16.676463, 17.021232, 17.303735, 17.522725, 19.833687, 19.955647, 151.133355], [12.543098, 13.467692, 13.940491, 14.091752, 14.426091, 14.813451, 15.790300, 18.953533, 21.451368, 149.695904], [4.670141, 4.802873, 5.239295, 5.247213, 5.558089, 5.580249, 5.691585, 6.397211, 6.529275, 16.659865], [10.028452, 10.373864, 11.255966, 11.909444, 12.587222, 13.808950, 13.908099, 15.243649, 16.310862, 76.915871]]
### 6
fourier: [[5.689366, 6.040430, 6.367774, 6.492955, 6.756461, 6.812562, 8.222223, 8.522042, 9.351963, 97.274124], [10.292139, 11.338663, 12.195398, 12.995843, 13.501177, 13.858670, 14.471007, 14.952439, 16.144376, 72.061836], [20.264318, 20.834097, 22.116116, 22.235737, 22.592924, 25.580129, 26.609950, 26.652149, 26.866433, 55.559974], [5.926790, 6.206430, 6.643309, 6.712749, 6.754352, 7.037703, 7.341831, 8.624028, 9.439522, 100.289165], [18.919465, 19.125898, 19.947034, 21.603314, 22.520436, 22.568756, 22.964114, 23.754913, 24.654511, 60.503159], [12.332218, 12.813626, 14.156137, 14.689639, 14.958826, 15.515196, 15.814874, 15.871270, 16.887745, 88.171472]]
### 8
fourier: [[24.864708, 25.457391, 26.852835, 27.459809, 28.718282, 29.661422, 30.044791, 31.371523, 34.558088, 114.393562], [10.218164, 10.352421, 10.814003, 11.446721, 12.237005, 13.274605, 13.385208, 13.416148, 14.153413, 14.750981], [6.171730, 6.293399, 6.476742, 7.439349, 7.825700, 8.831381, 9.509987, 10.237726, 10.608573, 30.884316], [17.890925, 18.199342, 19.379457, 21.727386, 22.057273, 22.928887, 24.406649, 24.473914, 26.377547, 57.955315], [27.050629, 28.987464, 28.993433, 32.321035, 32.331888, 33.275330, 34.834525, 35.871634, 39.126584, 134.335770], [13.557088, 13.692890, 14.837161, 16.262781, 16.695208, 17.397594, 18.111195, 18.558799, 20.025908, 40.007283]]
### 10
fourier: [[37.166485, 37.205985, 40.834299, 41.655791, 42.701381, 43.476150, 44.821348, 44.946996, 50.571437, 188.428008]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": {"fourier": [17.04221022262828, 17.6259558699178, 17.700007390423462, 17.780108127412607, 19.24251497474555, 19.313697893609973, 19.668337626498694, 20.08132609249275, 21.245165715246284, 39.36213643103838]}, "1": {"fourier": [23.229841456702488, 23.299571285062306, 24.673829612566717, 25.067385673549197, 25.767611461331757, 26.363780269390436, 26.704591994860134, 28.002598359834693, 31.724362710978802, 55.20780059695244]}, "2": {"fourier": [18.89745246248792, 19.635572393093728, 21.129787864908074, 21.153745766873215, 21.33739419098958, 21.447972924813413, 21.73066212116806, 21.912579492921104, 27.741239179788515, 112.44253344088793]}, "3": {"fourier": [13.102164802797402, 13.352930981363608, 13.412068291415022, 13.79243125880308, 14.506113236383404, 16.07739856320686, 18.566994606395983, 19.33435602590119, 20.773078721627535, 75.27081269025803]}, "4": {"fourier": [16.26060047402297, 17.727628611456616, 18.032001976942233, 19.701141081625714, 20.42529033321669, 21.134894477525467, 21.601859268190836, 22.501996927060897, 26.880708252556854, 91.17231750488281]}, "5": {"fourier": [17.909186477149614, 18.450901265262356, 18.675518305121315, 19.351176091571197, 19.516500830313532, 20.435667471453268, 20.707104830445378, 22.70356579931616, 23.074309418295357, 102.97930580377579]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [20.51203176620079, 20.660893360057536, 21.23852634987826, 21.690074248706246, 22.206803259671066, 22.81671869163345, 23.016749398990186, 23.21910003957, 23.62291344748981, 25.371601091212607]}, "1": {"fourier": [11.448888846228058, 12.521671331158254, 13.135717454117119, 13.542093989664318, 13.572092755421709, 14.144929818410223, 15.57174284301099, 15.890845745227802, 18.155636634113023, 167.5721685886383]}, "2": {"fourier": [20.519960964940253, 21.97434387039089, 22.06523385557105, 22.137611384011656, 22.56042093807784, 22.835013379758816, 23.664149127154573, 27.421763179075814, 28.70361599663499, 92.1713222488761]}, "3": {"fourier": [15.141167953166699, 15.590525696716636, 15.922021778575067, 17.572818200114924, 17.913622574892184, 18.047946841594268, 18.615178386168896, 19.444816074060004, 19.72748709977721, 113.89041554927826]}, "4": {"fourier": [32.28307350770134, 32.85142050951907, 33.33829513727122, 33.4619444074669, 33.660663697702276, 35.1095890105784, 36.35589216491101, 41.888663873218384, 42.36505586627328, 136.4022146575153]}, "5": {"fourier": [8.786261875830117, 8.957952075508613, 9.01642911271828, 9.426151267680014, 9.838680500887495, 10.528769494191273, 10.60104577435014, 11.279289652357441, 11.77663851443865, 19.730345457792282]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [5.605354555192045, 5.712549215878992, 6.0359308933188, 6.2277774974117674, 6.270760256634548, 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"layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [37.16648540824272, 37.20598542160584, 40.83429866995641, 41.65579089629447, 42.701380709421414, 43.47614979711721, 44.821347545631006, 44.946996150704706, 50.57143654384033, 188.42800783738494]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[0.4626, 0.37115, -0.220517, -0.093388, -0.003283], [0.354064, 0.473272, 0.278184, -0.373829, -0.307146], [-0.013104, 0.365299, 0.55403, -0.127367, -0.164448], [0.028887, -0.406564, 0.19487, 0.156742, 0.29397], [0.575855, 0.216127, -0.250538, 0.184692, -0.214869], [0.583491, 0.200535, -0.335129, 0.02449, 0.161175]], "network.0.bias": [-0.149691, -0.090224, -0.081343, 0.435494, 0.294864, 0.501422], "network.2.weight": [[-0.528389, 0.296276, 0.47665, 0.109426, -0.318377, -0.686106], [-0.209035, 0.236938, 0.44437, 0.380894, 0.060934, 0.248819], [0.091709, 0.441717, 0.315129, -0.211715, 0.404253, 0.116005], [-0.279815, -0.096809, 0.041148, -0.181687, -0.561358, -0.073118], [0.377295, 0.34361, 0.283551, -0.522048, 0.657081, 0.343406], [0.065057, 0.147089, 0.067248, 0.094585, 0.291334, 0.021606]], "network.2.bias": [0.248405, 0.562742, -0.18884, -0.257711, -0.001602, -0.435122], "network.4.weight": [[0.503072, 0.031419, 0.031353, -0.563014, -0.035052, -0.006106], [-0.612195, 0.076247, 0.322914, 0.422183, 0.520657, 0.169788], [0.423205, -0.527278, -0.384415, 0.053131, -0.094801, 0.229494], [0.5967, 0.112915, 0.286087, -0.465084, 0.235566, -0.289618], [-0.145048, 0.177565, 0.156586, 0.227284, -0.050881, 0.119763], [0.489729, 0.409727, -0.342259, -0.521637, -0.128764, 0.083814]], "network.4.bias": [0.391523, 0.274302, -0.419457, 0.588553, -0.528897, 0.399846], "network.6.weight": [[-0.183964, 0.086832, 0.589583, -0.281499, 0.007357, -0.284251], [0.552018, 0.054124, -0.574546, -0.191702, -0.759495, 0.781532], [0.040997, -0.624679, -0.69435, 0.313208, -0.137503, 0.68745], [0.512314, -0.093724, 0.445958, -0.423593, 0.105646, -0.241472], [-0.324576, 0.605864, 0.256531, 0.166554, 0.228227, 0.022126], [0.718135, -0.120874, -0.28322, 0.040148, -0.122965, 0.600239]], "network.6.bias": [-0.358083, 0.011817, 0.270882, -0.368583, -0.165623, 0.159108], "network.8.weight": [[-0.120244, 0.53276, 0.729565, -0.156495, -0.313279, 0.477846], [-0.342117, -0.096211, -0.141528, -0.281334, 0.494166, -0.012264], [0.842385, 0.116378, 0.494267, 0.588709, 0.12952, 0.025272], [-0.021473, 0.553079, 0.156171, -0.194901, -0.404297, 0.477832], [-0.365036, 0.396576, 0.811926, -0.272031, -0.457451, 0.631812], [-0.15365, -0.331943, -0.42189, -0.000615, 0.317358, -0.097292]], "network.8.bias": [-0.047588, -0.197935, -0.796205, -0.092708, 0.114215, 0.031364], "network.10.weight": [[-0.36433, 0.331997, -0.2638, -0.506635, -0.7551, 0.275386]], "network.10.bias": [0.03869]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885879039764404, "train_acc": 0.55, "val_loss": 0.6831222772598267, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6779820919036865, "train_acc": 0.55, "val_loss": 0.6090139150619507, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6069029271602631, "train_acc": 0.595, "val_loss": 0.3681414723396301, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6505255103111267, "train_acc": 0.81, "val_loss": 0.3141174912452698, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.321684330701828, "train_acc": 0.89, "val_loss": 0.6517868638038635, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6282019764184952, "train_acc": 0.77, "val_loss": 0.7251825928688049, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5319092571735382, "train_acc": 0.765, "val_loss": 0.5366306900978088, "val_acc": 0.76}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6831222772598267, "final_val_loss": 0.6090139150619507, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.3681414723396301, "final_val_loss": 0.5366306900978088, "initial_val_acc": 0.88, "final_val_acc": 0.76, "best_val_acc": 0.9, "best_epoch": 3}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
285
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.9, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5620, "learning_rate": 0.07353086075901419, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.weight": [
[
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[18.566968, 19.032275, 20.686312, 20.818573, 23.061396, 23.371719, 25.288725, 27.233296, 27.440362, 95.853867], [18.316140, 18.780589, 19.266571, 19.706505, 21.450004, 22.706238, 23.633537, 24.157832, 27.878465, 30.944560], [12.242361, 12.328855, 12.614124, 13.998625, 14.453136, 15.920997, 16.057992, 16.631283, 17.114401, 17.155060], [21.777006, 22.284289, 23.086533, 23.570540, 24.340286, 25.547429, 26.065492, 31.017049, 31.077757, 245.735094], [22.074723, 22.677477, 22.701033, 23.642916, 23.764932, 25.010891, 25.166416, 26.490516, 26.875929, 92.089854], [14.203399, 14.208763, 14.917676, 15.993758, 16.649931, 18.394129, 19.216199, 19.322954, 20.710395, 144.369785], [17.778622, 19.537670, 20.015942, 20.928210, 22.519325, 23.271403, 23.588953, 23.990778, 26.343181, 179.699999]]
### 2
fourier: [[5.342744, 5.349652, 5.373062, 6.060351, 6.884537, 7.152281, 7.607705, 9.289094, 9.517764, 88.338272], [17.827987, 19.268846, 19.648777, 21.388832, 21.413903, 23.194457, 23.360676, 23.465490, 24.183667, 27.341911], [11.367696, 11.418640, 11.540784, 13.066504, 13.210901, 13.870078, 14.486553, 14.504695, 17.509598, 46.782065], [10.854526, 10.868745, 11.130870, 11.688658, 12.858850, 13.079084, 14.435507, 14.814420, 15.895784, 117.624882], [15.047561, 15.110431, 15.466929, 16.252310, 16.651736, 17.427461, 18.586496, 20.463686, 20.683152, 107.785018], [15.135825, 16.439229, 16.768704, 17.103185, 18.275165, 19.201405, 20.003031, 20.240096, 22.072502, 54.275703], [12.893902, 13.368036, 14.043259, 16.029087, 16.034905, 16.039467, 16.189038, 16.872086, 19.060474, 21.645521]]
### 4
fourier: [[21.396119, 23.777342, 23.846058, 24.470844, 25.888992, 28.439082, 29.259150, 29.592611, 29.967233, 98.867809], [17.202300, 20.278861, 21.209255, 21.606352, 22.301855, 22.327517, 24.262776, 24.473448, 24.718965, 24.865637], [8.567079, 9.602206, 9.702355, 10.305091, 10.414860, 11.165346, 11.259875, 11.263929, 11.746600, 45.386279], [24.140699, 26.848628, 28.130673, 29.768652, 30.994087, 32.780676, 32.952661, 33.411384, 33.859346, 154.522299], [16.485019, 17.212065, 17.415849, 17.536662, 18.620214, 18.792994, 20.341413, 21.322246, 21.537104, 36.769022], [27.427936, 30.161514, 30.905616, 32.974500, 33.709137, 37.892841, 38.306435, 38.668520, 41.689301, 169.480113], [19.965613, 19.986903, 20.770882, 22.485839, 22.803092, 23.416809, 24.474264, 24.705853, 28.289721, 93.397601]]
### 6
fourier: [[47.296241, 50.566521, 52.266395, 53.562073, 53.795388, 60.741686, 63.165638, 64.481647, 65.896146, 237.056671], [16.459876, 16.538984, 18.900672, 18.919936, 18.957221, 20.621621, 21.459583, 21.810546, 22.145462, 77.729654], [21.256194, 24.838829, 25.135941, 25.422799, 26.567244, 28.208179, 31.164068, 31.469597, 31.516975, 125.074273], [24.258478, 24.636897, 26.716311, 28.586948, 30.795554, 30.799340, 32.531653, 32.946932, 34.183879, 95.520445], [30.279140, 30.853914, 34.370841, 34.467727, 35.307159, 38.466614, 40.169282, 40.847968, 41.013768, 103.170192], [61.708696, 66.587555, 69.012938, 69.235750, 69.546280, 81.186897, 82.807768, 85.368480, 90.012586, 324.657249], [32.243378, 32.689700, 34.852545, 35.324780, 36.209849, 41.465180, 41.738495, 44.713331, 46.286411, 251.753618]]
### 8
fourier: [[61.892253, 68.192073, 69.548249, 69.907268, 70.441129, 82.647684, 83.272352, 86.192255, 89.275768, 297.328507], [11.426010, 12.119602, 12.769826, 13.394984, 13.513753, 14.567437, 15.894965, 17.004948, 17.344417, 48.355761], [67.109387, 73.684050, 74.571823, 75.850179, 76.370410, 89.790146, 89.816292, 92.314956, 95.727066, 289.355099], [32.631758, 34.017939, 35.693968, 36.070022, 38.063545, 42.348630, 42.609369, 43.538838, 43.889316, 160.400668], [19.333039, 20.006188, 20.490030, 20.601036, 22.809366, 24.251537, 24.488637, 26.278653, 26.814902, 94.789566], [18.724370, 19.140092, 20.678464, 21.417452, 21.910270, 22.822545, 25.852735, 27.691772, 28.221113, 73.235140], [53.207901, 58.586910, 59.861243, 60.713817, 60.793395, 71.441907, 71.834858, 74.934953, 77.468531, 282.161235]]
### 10
fourier: [[35.517660, 39.258972, 39.481633, 41.166026, 41.282408, 47.146705, 48.594881, 51.184052, 52.563468, 153.078803], [60.389083, 66.429455, 67.827065, 67.866237, 69.141689, 80.621289, 82.138603, 82.940044, 86.093038, 304.664885], [4.435930, 5.012459, 5.064238, 5.090309, 5.481768, 5.633113, 5.671436, 6.730317, 6.739378, 7.371086], [44.074544, 48.630107, 49.857519, 49.942367, 50.348199, 59.239612, 59.836499, 61.179413, 63.514406, 208.047928], [36.566999, 39.380799, 39.549670, 40.170772, 41.952551, 48.053270, 48.338280, 48.582271, 50.734611, 127.327478], [76.621371, 84.080981, 85.496270, 88.905260, 89.517277, 101.031291, 105.173844, 111.033834, 113.736351, 362.972047], [23.384532, 26.065835, 26.288975, 26.587062, 26.749651, 31.280054, 32.250623, 32.289336, 33.230872, 138.441403]]
### 12
fourier: [[40.991147, 45.401830, 46.502702, 46.533712, 46.575985, 55.171720, 55.559343, 57.075584, 59.061126, 175.887435]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.4.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[18.566968, 19.032275, 20.686312, 20.818573, 23.061396, 23.371719, 25.288725, 27.233296, 27.440362, 95.853867], [18.316140, 18.780589, 19.266571, 19.706505, 21.450004, 22.706238, 23.633537, 24.157832, 27.878465, 30.944560], [12.242361, 12.328855, 12.614124, 13.998625, 14.453136, 15.920997, 16.057992, 16.631283, 17.114401, 17.155060], [21.777006, 22.284289, 23.086533, 23.570540, 24.340286, 25.547429, 26.065492, 31.017049, 31.077757, 245.735094], [22.074723, 22.677477, 22.701033, 23.642916, 23.764932, 25.010891, 25.166416, 26.490516, 26.875929, 92.089854], [14.203399, 14.208763, 14.917676, 15.993758, 16.649931, 18.394129, 19.216199, 19.322954, 20.710395, 144.369785], [17.778622, 19.537670, 20.015942, 20.928210, 22.519325, 23.271403, 23.588953, 23.990778, 26.343181, 179.699999]]
### 2
fourier: [[5.342744, 5.349652, 5.373062, 6.060351, 6.884537, 7.152281, 7.607705, 9.289094, 9.517764, 88.338272], [17.827987, 19.268846, 19.648777, 21.388832, 21.413903, 23.194457, 23.360676, 23.465490, 24.183667, 27.341911], [11.367696, 11.418640, 11.540784, 13.066504, 13.210901, 13.870078, 14.486553, 14.504695, 17.509598, 46.782065], [10.854526, 10.868745, 11.130870, 11.688658, 12.858850, 13.079084, 14.435507, 14.814420, 15.895784, 117.624882], [15.047561, 15.110431, 15.466929, 16.252310, 16.651736, 17.427461, 18.586496, 20.463686, 20.683152, 107.785018], [15.135825, 16.439229, 16.768704, 17.103185, 18.275165, 19.201405, 20.003031, 20.240096, 22.072502, 54.275703], [12.893902, 13.368036, 14.043259, 16.029087, 16.034905, 16.039467, 16.189038, 16.872086, 19.060474, 21.645521]]
### 4
fourier: [[21.396119, 23.777342, 23.846058, 24.470844, 25.888992, 28.439082, 29.259150, 29.592611, 29.967233, 98.867809], [17.202300, 20.278861, 21.209255, 21.606352, 22.301855, 22.327517, 24.262776, 24.473448, 24.718965, 24.865637], [8.567079, 9.602206, 9.702355, 10.305091, 10.414860, 11.165346, 11.259875, 11.263929, 11.746600, 45.386279], [24.140699, 26.848628, 28.130673, 29.768652, 30.994087, 32.780676, 32.952661, 33.411384, 33.859346, 154.522299], [16.485019, 17.212065, 17.415849, 17.536662, 18.620214, 18.792994, 20.341413, 21.322246, 21.537104, 36.769022], [27.427936, 30.161514, 30.905616, 32.974500, 33.709137, 37.892841, 38.306435, 38.668520, 41.689301, 169.480113], [19.965613, 19.986903, 20.770882, 22.485839, 22.803092, 23.416809, 24.474264, 24.705853, 28.289721, 93.397601]]
### 6
fourier: [[47.296241, 50.566521, 52.266395, 53.562073, 53.795388, 60.741686, 63.165638, 64.481647, 65.896146, 237.056671], [16.459876, 16.538984, 18.900672, 18.919936, 18.957221, 20.621621, 21.459583, 21.810546, 22.145462, 77.729654], [21.256194, 24.838829, 25.135941, 25.422799, 26.567244, 28.208179, 31.164068, 31.469597, 31.516975, 125.074273], [24.258478, 24.636897, 26.716311, 28.586948, 30.795554, 30.799340, 32.531653, 32.946932, 34.183879, 95.520445], [30.279140, 30.853914, 34.370841, 34.467727, 35.307159, 38.466614, 40.169282, 40.847968, 41.013768, 103.170192], [61.708696, 66.587555, 69.012938, 69.235750, 69.546280, 81.186897, 82.807768, 85.368480, 90.012586, 324.657249], [32.243378, 32.689700, 34.852545, 35.324780, 36.209849, 41.465180, 41.738495, 44.713331, 46.286411, 251.753618]]
### 8
fourier: [[61.892253, 68.192073, 69.548249, 69.907268, 70.441129, 82.647684, 83.272352, 86.192255, 89.275768, 297.328507], [11.426010, 12.119602, 12.769826, 13.394984, 13.513753, 14.567437, 15.894965, 17.004948, 17.344417, 48.355761], [67.109387, 73.684050, 74.571823, 75.850179, 76.370410, 89.790146, 89.816292, 92.314956, 95.727066, 289.355099], [32.631758, 34.017939, 35.693968, 36.070022, 38.063545, 42.348630, 42.609369, 43.538838, 43.889316, 160.400668], [19.333039, 20.006188, 20.490030, 20.601036, 22.809366, 24.251537, 24.488637, 26.278653, 26.814902, 94.789566], [18.724370, 19.140092, 20.678464, 21.417452, 21.910270, 22.822545, 25.852735, 27.691772, 28.221113, 73.235140], [53.207901, 58.586910, 59.861243, 60.713817, 60.793395, 71.441907, 71.834858, 74.934953, 77.468531, 282.161235]]
### 10
fourier: [[35.517660, 39.258972, 39.481633, 41.166026, 41.282408, 47.146705, 48.594881, 51.184052, 52.563468, 153.078803], [60.389083, 66.429455, 67.827065, 67.866237, 69.141689, 80.621289, 82.138603, 82.940044, 86.093038, 304.664885], [4.435930, 5.012459, 5.064238, 5.090309, 5.481768, 5.633113, 5.671436, 6.730317, 6.739378, 7.371086], [44.074544, 48.630107, 49.857519, 49.942367, 50.348199, 59.239612, 59.836499, 61.179413, 63.514406, 208.047928], [36.566999, 39.380799, 39.549670, 40.170772, 41.952551, 48.053270, 48.338280, 48.582271, 50.734611, 127.327478], [76.621371, 84.080981, 85.496270, 88.905260, 89.517277, 101.031291, 105.173844, 111.033834, 113.736351, 362.972047], [23.384532, 26.065835, 26.288975, 26.587062, 26.749651, 31.280054, 32.250623, 32.289336, 33.230872, 138.441403]]
### 12
fourier: [[40.991147, 45.401830, 46.502702, 46.533712, 46.575985, 55.171720, 55.559343, 57.075584, 59.061126, 175.887435]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6888710856437683, "train_acc": 0.565, "val_loss": 0.6895722150802612, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6937492489814758, "train_acc": 0.565, "val_loss": 0.669660210609436, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6000503301620483, "train_acc": 0.565, "val_loss": 0.6207500696182251, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6159816682338715, "train_acc": 0.49, "val_loss": 0.6782539486885071, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6703865826129913, "train_acc": 0.69, "val_loss": 0.5841874480247498, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5028867423534393, "train_acc": 0.815, "val_loss": 0.283530056476593, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.24325381219387054, "train_acc": 0.935, "val_loss": 0.3148486018180847, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.23826435208320618, "train_acc": 0.935, "val_loss": 1.1327846050262451, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2680147737264633, "train_acc": 0.925, "val_loss": 0.26240983605384827, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2631441652774811, "train_acc": 0.9, "val_loss": 0.35093170404434204, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.35563981533050537, "train_acc": 0.86, "val_loss": 0.41759514808654785, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.40447427332401276, "train_acc": 0.815, "val_loss": 0.41649922728538513, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6895722150802612, "final_val_loss": 0.6207500696182251, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6782539486885071, "final_val_loss": 0.41649922728538513, "initial_val_acc": 0.62, "final_val_acc": 0.78, "best_val_acc": 0.9, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
286
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.46, "improved_accuracy": 0.74, "improvement": 0.27999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2096, "learning_rate": 0.06412259960979436, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[18.760015, 19.940003, 21.758202, 23.121799, 23.227424, 24.740079, 27.083271, 29.108908, 32.457747, 278.062177], [15.647710, 16.329076, 18.499018, 19.220716, 19.594806, 20.040043, 22.078327, 22.289532, 24.148609, 60.513374], [17.407467, 19.120376, 19.384551, 19.752903, 21.052102, 21.449106, 23.624299, 30.233324, 30.601153, 30.886985], [21.757670, 24.893371, 25.222010, 25.792449, 26.480442, 26.562395, 27.559155, 28.165382, 31.014742, 180.424195], [19.450498, 22.733622, 23.239666, 24.153491, 24.269815, 25.281286, 27.825607, 30.130490, 31.693044, 32.606703], [20.695831, 21.177527, 21.341779, 27.234051, 30.492649, 31.781244, 32.644815, 40.654292, 41.564288, 99.687743], [16.779725, 17.346892, 17.481435, 18.542391, 20.045525, 20.220210, 20.578257, 25.181663, 30.544182, 59.073961], [16.964327, 17.012065, 18.786053, 21.050673, 21.562860, 23.042455, 25.130500, 25.615278, 27.625923, 213.985473]]
### 2
fourier: [[7.670463, 8.075228, 8.184298, 8.615675, 8.732268, 9.017154, 10.109311, 11.119567, 11.621910, 12.488771], [10.379359, 10.819009, 11.388928, 11.694843, 12.054061, 12.246620, 12.254425, 12.583273, 12.892315, 99.407810], [10.469009, 10.864929, 10.934949, 10.976501, 11.239641, 14.108528, 14.114017, 14.295788, 15.760182, 137.351620], [13.296878, 13.936294, 14.284008, 14.311972, 16.187493, 16.371104, 16.557097, 16.830739, 19.528465, 137.594011], [12.572178, 13.175000, 13.642466, 13.988013, 14.316144, 15.690837, 17.142570, 17.523618, 19.580061, 20.753162], [16.645732, 17.140132, 17.794269, 17.877661, 19.150012, 19.450758, 20.297856, 21.108001, 23.306485, 148.573228], [11.920377, 12.457379, 13.168716, 14.889583, 15.061751, 15.371420, 16.643242, 16.777998, 17.673451, 83.010847], [9.138434, 9.615899, 9.822578, 9.886711, 12.746128, 12.834910, 14.516434, 15.646836, 16.916608, 50.760851]]
### 4
fourier: [[18.857291, 19.274993, 19.360561, 21.866071, 22.084615, 22.766409, 25.230334, 29.538092, 30.381888, 186.760575], [9.392380, 9.497352, 9.605910, 9.929844, 10.173702, 10.523511, 10.674762, 11.776342, 11.943901, 127.865348], [12.196930, 14.221411, 14.369447, 14.480157, 14.631474, 15.471017, 17.621509, 17.700356, 17.862237, 19.913680], [12.471101, 12.854926, 13.153388, 13.169957, 14.104862, 15.064127, 16.318905, 16.352752, 16.840173, 110.842551], [5.046748, 5.219482, 5.257941, 5.528797, 5.535370, 5.747618, 5.760848, 5.777921, 6.248625, 19.103465], [13.227382, 13.473867, 14.870100, 14.907711, 15.672966, 16.493717, 16.654625, 18.862194, 18.976493, 72.661509], [7.476498, 7.669972, 7.861417, 8.108190, 8.471624, 8.591617, 9.744521, 13.335036, 13.412779, 48.413789], [6.942369, 7.113534, 7.253739, 8.266856, 8.462469, 8.582629, 8.983131, 10.178004, 11.035658, 57.278579]]
### 6
fourier: [[10.100764, 10.370450, 10.743845, 12.107376, 12.650558, 13.341291, 13.563890, 14.543545, 14.858183, 51.523816], [9.637377, 9.859508, 10.246208, 10.868888, 12.342818, 13.394395, 13.869471, 14.395690, 14.537964, 60.583500], [12.787876, 13.349699, 13.422244, 13.567702, 13.886170, 14.007337, 16.505981, 17.672308, 19.354539, 80.365150], [10.055339, 10.349245, 10.768261, 10.869837, 11.427395, 12.259848, 13.220480, 15.184838, 15.276765, 80.921937], [14.599186, 15.309275, 15.907500, 17.988261, 18.238339, 19.069251, 19.703248, 22.376794, 22.753988, 123.041448], [6.579705, 6.638619, 6.797335, 6.964065, 7.382295, 7.787615, 8.371382, 9.263703, 10.351963, 42.532152], [10.137786, 10.283925, 10.713828, 11.440169, 11.799439, 12.150358, 13.150221, 15.982487, 16.034172, 63.628592], [11.706375, 11.809700, 12.268930, 13.875375, 14.735280, 15.092186, 15.826964, 16.532799, 16.985157, 75.044817]]
### 8
fourier: [[4.658058, 4.975929, 5.243724, 5.527938, 5.929005, 5.948422, 6.145413, 6.970231, 7.170652, 9.346895], [10.019526, 10.705450, 10.757149, 11.071285, 11.124828, 11.772430, 13.548156, 13.978248, 15.494490, 100.397155], [2.533475, 2.552513, 2.715815, 2.819091, 3.050444, 3.236377, 3.973887, 4.435252, 4.440953, 33.375337], [11.616159, 12.573917, 13.356159, 13.980564, 14.981045, 15.002544, 15.277770, 17.614216, 18.234324, 62.671373], [2.921690, 3.214253, 3.292109, 3.350800, 3.860210, 4.284272, 4.369324, 4.428846, 4.804208, 22.565820], [16.910311, 17.521754, 18.628506, 20.685019, 21.221724, 21.998766, 22.831120, 25.563444, 25.654855, 119.551686], [1.711327, 1.719796, 1.786249, 1.867866, 2.268262, 2.407065, 2.416195, 2.479385, 2.593364, 22.019609], [9.438032, 10.337312, 11.167850, 11.400338, 11.840352, 12.418093, 12.686332, 14.072512, 14.998032, 92.123788]]
### 10
fourier: [[3.369829, 3.425945, 3.654594, 3.822474, 4.372656, 4.494865, 4.942558, 5.142293, 5.424663, 5.795938], [2.007924, 2.008522, 2.051452, 2.206001, 2.235748, 2.338806, 2.377568, 2.556643, 2.690734, 34.554912], [2.808441, 2.911553, 3.118987, 3.433736, 3.468653, 3.755594, 4.245999, 4.708431, 4.808081, 44.981802], [8.389498, 9.123471, 9.298569, 9.470585, 9.734675, 10.173928, 11.615476, 11.673051, 13.263539, 148.629099], [5.684830, 6.393858, 6.610132, 7.190887, 7.213133, 7.309696, 7.838234, 8.673200, 9.060270, 51.679302], [8.566864, 8.936563, 9.058756, 10.273763, 10.878832, 10.917282, 11.633383, 12.828564, 12.836239, 26.270611], [5.590941, 6.172935, 6.592335, 6.959212, 7.224501, 7.389545, 7.599096, 8.432588, 8.927043, 37.931847], [10.436728, 10.481675, 10.919858, 11.883286, 13.477335, 14.109153, 15.160368, 15.228563, 15.671124, 43.203260]]
### 12
fourier: [[2.568759, 2.657159, 2.660681, 2.741262, 3.154353, 3.558858, 3.614024, 3.845847, 3.892403, 14.829089]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[18.760015, 19.940003, 21.758202, 23.121799, 23.227424, 24.740079, 27.083271, 29.108908, 32.457747, 278.062177], [15.647710, 16.329076, 18.499018, 19.220716, 19.594806, 20.040043, 22.078327, 22.289532, 24.148609, 60.513374], [17.407467, 19.120376, 19.384551, 19.752903, 21.052102, 21.449106, 23.624299, 30.233324, 30.601153, 30.886985], [21.757670, 24.893371, 25.222010, 25.792449, 26.480442, 26.562395, 27.559155, 28.165382, 31.014742, 180.424195], [19.450498, 22.733622, 23.239666, 24.153491, 24.269815, 25.281286, 27.825607, 30.130490, 31.693044, 32.606703], [20.695831, 21.177527, 21.341779, 27.234051, 30.492649, 31.781244, 32.644815, 40.654292, 41.564288, 99.687743], [16.779725, 17.346892, 17.481435, 18.542391, 20.045525, 20.220210, 20.578257, 25.181663, 30.544182, 59.073961], [16.964327, 17.012065, 18.786053, 21.050673, 21.562860, 23.042455, 25.130500, 25.615278, 27.625923, 213.985473]]
### 2
fourier: [[7.670463, 8.075228, 8.184298, 8.615675, 8.732268, 9.017154, 10.109311, 11.119567, 11.621910, 12.488771], [10.379359, 10.819009, 11.388928, 11.694843, 12.054061, 12.246620, 12.254425, 12.583273, 12.892315, 99.407810], [10.469009, 10.864929, 10.934949, 10.976501, 11.239641, 14.108528, 14.114017, 14.295788, 15.760182, 137.351620], [13.296878, 13.936294, 14.284008, 14.311972, 16.187493, 16.371104, 16.557097, 16.830739, 19.528465, 137.594011], [12.572178, 13.175000, 13.642466, 13.988013, 14.316144, 15.690837, 17.142570, 17.523618, 19.580061, 20.753162], [16.645732, 17.140132, 17.794269, 17.877661, 19.150012, 19.450758, 20.297856, 21.108001, 23.306485, 148.573228], [11.920377, 12.457379, 13.168716, 14.889583, 15.061751, 15.371420, 16.643242, 16.777998, 17.673451, 83.010847], [9.138434, 9.615899, 9.822578, 9.886711, 12.746128, 12.834910, 14.516434, 15.646836, 16.916608, 50.760851]]
### 4
fourier: [[18.857291, 19.274993, 19.360561, 21.866071, 22.084615, 22.766409, 25.230334, 29.538092, 30.381888, 186.760575], [9.392380, 9.497352, 9.605910, 9.929844, 10.173702, 10.523511, 10.674762, 11.776342, 11.943901, 127.865348], [12.196930, 14.221411, 14.369447, 14.480157, 14.631474, 15.471017, 17.621509, 17.700356, 17.862237, 19.913680], [12.471101, 12.854926, 13.153388, 13.169957, 14.104862, 15.064127, 16.318905, 16.352752, 16.840173, 110.842551], [5.046748, 5.219482, 5.257941, 5.528797, 5.535370, 5.747618, 5.760848, 5.777921, 6.248625, 19.103465], [13.227382, 13.473867, 14.870100, 14.907711, 15.672966, 16.493717, 16.654625, 18.862194, 18.976493, 72.661509], [7.476498, 7.669972, 7.861417, 8.108190, 8.471624, 8.591617, 9.744521, 13.335036, 13.412779, 48.413789], [6.942369, 7.113534, 7.253739, 8.266856, 8.462469, 8.582629, 8.983131, 10.178004, 11.035658, 57.278579]]
### 6
fourier: [[10.100764, 10.370450, 10.743845, 12.107376, 12.650558, 13.341291, 13.563890, 14.543545, 14.858183, 51.523816], [9.637377, 9.859508, 10.246208, 10.868888, 12.342818, 13.394395, 13.869471, 14.395690, 14.537964, 60.583500], [12.787876, 13.349699, 13.422244, 13.567702, 13.886170, 14.007337, 16.505981, 17.672308, 19.354539, 80.365150], [10.055339, 10.349245, 10.768261, 10.869837, 11.427395, 12.259848, 13.220480, 15.184838, 15.276765, 80.921937], [14.599186, 15.309275, 15.907500, 17.988261, 18.238339, 19.069251, 19.703248, 22.376794, 22.753988, 123.041448], [6.579705, 6.638619, 6.797335, 6.964065, 7.382295, 7.787615, 8.371382, 9.263703, 10.351963, 42.532152], [10.137786, 10.283925, 10.713828, 11.440169, 11.799439, 12.150358, 13.150221, 15.982487, 16.034172, 63.628592], [11.706375, 11.809700, 12.268930, 13.875375, 14.735280, 15.092186, 15.826964, 16.532799, 16.985157, 75.044817]]
### 8
fourier: [[4.658058, 4.975929, 5.243724, 5.527938, 5.929005, 5.948422, 6.145413, 6.970231, 7.170652, 9.346895], [10.019526, 10.705450, 10.757149, 11.071285, 11.124828, 11.772430, 13.548156, 13.978248, 15.494490, 100.397155], [2.533475, 2.552513, 2.715815, 2.819091, 3.050444, 3.236377, 3.973887, 4.435252, 4.440953, 33.375337], [11.616159, 12.573917, 13.356159, 13.980564, 14.981045, 15.002544, 15.277770, 17.614216, 18.234324, 62.671373], [2.921690, 3.214253, 3.292109, 3.350800, 3.860210, 4.284272, 4.369324, 4.428846, 4.804208, 22.565820], [16.910311, 17.521754, 18.628506, 20.685019, 21.221724, 21.998766, 22.831120, 25.563444, 25.654855, 119.551686], [1.711327, 1.719796, 1.786249, 1.867866, 2.268262, 2.407065, 2.416195, 2.479385, 2.593364, 22.019609], [9.438032, 10.337312, 11.167850, 11.400338, 11.840352, 12.418093, 12.686332, 14.072512, 14.998032, 92.123788]]
### 10
fourier: [[3.369829, 3.425945, 3.654594, 3.822474, 4.372656, 4.494865, 4.942558, 5.142293, 5.424663, 5.795938], [2.007924, 2.008522, 2.051452, 2.206001, 2.235748, 2.338806, 2.377568, 2.556643, 2.690734, 34.554912], [2.808441, 2.911553, 3.118987, 3.433736, 3.468653, 3.755594, 4.245999, 4.708431, 4.808081, 44.981802], [8.389498, 9.123471, 9.298569, 9.470585, 9.734675, 10.173928, 11.615476, 11.673051, 13.263539, 148.629099], [5.684830, 6.393858, 6.610132, 7.190887, 7.213133, 7.309696, 7.838234, 8.673200, 9.060270, 51.679302], [8.566864, 8.936563, 9.058756, 10.273763, 10.878832, 10.917282, 11.633383, 12.828564, 12.836239, 26.270611], [5.590941, 6.172935, 6.592335, 6.959212, 7.224501, 7.389545, 7.599096, 8.432588, 8.927043, 37.931847], [10.436728, 10.481675, 10.919858, 11.883286, 13.477335, 14.109153, 15.160368, 15.228563, 15.671124, 43.203260]]
### 12
fourier: [[2.568759, 2.657159, 2.660681, 2.741262, 3.154353, 3.558858, 3.614024, 3.845847, 3.892403, 14.829089]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.337772, -0.110098, -0.256784, -0.493115, -0.16554], [0.193262, 0.283142, 0.323842, -0.319527, -0.213043], [0.046578, 0.19306, -0.644148, 0.352454, -0.169608], [-0.204869, 0.407679, -0.102022, 0.645771, -0.196768], [-0.896572, 0.450164, 0.488906, -0.27749, 0.125957], [-0.537302, 0.068141, 0.237984, -0.119196, -0.815953], [0.530274, -0.293767, 0.149845, -0.309127, -0.024138], [0.142515, -0.239284, -0.268644, -0.210096, -0.534044]], "network.0.bias": [-0.670603, 0.187412, 0.217219, 0.587751, -0.129409, 0.201661, -0.401298, -0.448577], "network.2.weight": [[-0.321446, 0.109598, -0.426379, 0.129435, 0.179215, 0.586513, -0.483945, -0.008617], [0.02708, -0.178779, 0.011065, 0.473331, 0.183985, 0.095863, 0.147544, -0.199444], [0.232065, -0.687992, -0.308654, -0.149122, -0.140799, -0.187987, -0.346699, 0.373806], [-0.37086, 0.20931, 0.11344, 0.489546, 0.380413, 0.00076, -0.407192, 0.378347], [0.26119, 0.20581, -0.071173, -0.24253, 0.649833, 0.343012, -0.203524, 0.408986], [-0.207052, 0.369497, 0.536577, 0.556646, 0.170055, 0.133675, -0.463737, -0.160046], [-0.120192, 0.239783, -0.424999, -0.321442, -0.607645, -0.191817, -0.158062, -0.164217], [0.207563, 0.35943, -0.076463, 0.091384, 0.426908, 0.425378, -0.005942, -0.289065]], "network.2.bias": [-0.226126, 0.115005, -0.350383, 0.169313, 0.00643, -0.01074, 0.136502, -0.22578], "network.4.weight": [[0.063416, 0.170338, -0.085778, 0.290696, 0.63934, 0.578092, -0.394761, 0.395994], [-0.257628, 0.035589, 0.318454, -0.42176, 0.443241, -0.14459, -0.455192, -0.241258], [-0.373231, 0.467747, -0.253747, 0.027307, -0.25068, 0.08925, -0.124813, -0.756967], [0.487778, 0.016772, 0.127918, 0.403878, 0.237361, 0.35004, -0.108492, -0.229749], [0.561077, -0.280568, 0.183762, 0.206886, -0.300812, 0.110918, -0.054395, 0.205954], [-0.333444, -0.080602, -0.177541, 0.016445, -0.01416, -0.553338, 0.148246, -0.534846], [0.163447, -0.040819, 0.055747, -0.09352, -0.55935, -0.066455, 0.390077, -0.213873], [-0.156816, 0.146613, 0.299129, -0.430575, 0.039515, 0.039221, 0.229211, -0.368316]], "network.4.bias": [0.117681, -0.557706, 0.019031, 0.027123, -0.089539, 0.461931, 0.020056, 0.035226], "network.6.weight": [[0.235044, -0.212569, 0.19208, 0.395669, -0.024767, -0.438562, -0.100772, -0.227913], [0.312649, -0.034209, 0.247271, 0.279659, -0.405835, -0.654217, -0.106622, -0.211154], [-0.306179, 0.044889, 0.394251, -0.460666, -0.264875, 0.442997, 0.090022, 0.206565], [0.356062, -0.293073, 0.069093, 0.210382, 0.225872, 0.167061, -0.073109, -0.070725], [-0.497421, 0.008806, -0.192253, -0.424261, 0.177231, 0.189974, 0.418504, -0.070357], [0.247758, 0.063914, -0.155402, 0.104342, -0.001831, -0.328196, -0.045031, -0.233817], [-0.521576, -0.468506, -0.094077, 0.048759, -0.085048, -0.209333, 0.303198, -0.271526], [0.254279, -0.232668, 0.234931, 0.49589, -0.158945, -0.710607, -0.085482, 0.20799]], "network.6.bias": [-0.486118, -0.346899, 0.198452, -0.168923, 0.198219, -0.11768, 0.280305, -0.330085], "network.8.weight": [[-0.238632, 0.022818, 0.265151, -0.178472, -0.100018, -0.042738, 0.12361, -0.062873], [-0.203666, -0.26537, -0.577967, -0.073813, -0.151792, -0.410852, -0.477275, -0.330344], [0.134733, -0.267332, 0.358936, 0.285057, 0.398326, 0.405211, 0.386463, -0.321025], [-0.222774, -0.226486, -0.050109, -0.222657, 0.100613, -0.240931, 0.248498, -0.431563], [-0.232304, -0.23925, 0.436927, 0.021543, -0.201039, -0.003118, 0.258541, 0.119231], [0.507406, 0.259618, -0.633659, 0.439797, -0.559759, 0.455279, -0.286623, 0.319842], [0.109689, -0.168843, 0.013398, -0.067357, 0.308879, -0.018124, 0.174309, -0.025953], [0.382425, 0.234449, 0.062579, 0.156444, 0.051783, -0.064762, -0.181563, 0.302242]], "network.8.bias": [0.45115, -0.393683, 0.389964, 0.219027, 0.447591, 0.00772, 0.397741, 0.302627], "network.10.weight": [[0.493532, -0.077976, 0.154524, 0.472033, 0.076546, -0.179672, 0.197001, 0.186327], [0.382026, 0.000423, 0.275225, 0.40718, 0.12807, -0.062396, -0.049004, 0.333729], [-0.303763, 0.009794, -0.507424, -0.456146, -0.711528, -0.114879, -0.652772, -0.05432], [-0.395234, -0.137225, -0.070942, -0.113092, -0.34311, -0.443407, -0.504658, -0.311906], [0.214815, -0.301421, 0.049248, 0.273724, 0.194845, -0.008563, -0.362057, -0.483142], [0.01988, -0.229872, 0.085699, 0.44894, 0.41389, -0.170583, 0.346142, -0.387877], [-0.15842, -0.404475, 0.195731, 0.059836, 0.196339, -0.243277, -0.091527, -0.160137], [-0.186775, -0.07094, -0.58714, -0.496851, -0.403693, 0.333102, -0.625771, 0.243115]], "network.10.bias": [-0.141363, 0.035254, 0.086965, -0.59381, -0.166598, 0.11851, -0.050815, 0.138284], "network.12.weight": [[-0.172103, -0.232719, 0.022768, 0.050778, -7.7e-05, -0.13944, -0.073642, 0.241034]], "network.12.bias": [-0.223845]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6736805140972137, "train_acc": 0.595, "val_loss": 0.7369415163993835, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.657599687576294, "train_acc": 0.595, "val_loss": 0.6528883576393127, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.9044659435749054, "train_acc": 0.535, "val_loss": 0.5879946351051331, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.618048906326294, "train_acc": 0.69, "val_loss": 0.6225057244300842, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.627970278263092, "train_acc": 0.67, "val_loss": 0.6389787197113037, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.633558988571167, "train_acc": 0.735, "val_loss": 0.6228373050689697, "val_acc": 0.7}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7369415163993835, "final_val_loss": 0.6528883576393127, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5879946351051331, "final_val_loss": 0.6228373050689697, "initial_val_acc": 0.72, "final_val_acc": 0.7, "best_val_acc": 0.74, "best_epoch": 4}, "improvement": 0.27999999999999997, "first_improvement_epoch": 1}}
|
287
|
{"target_pattern": "palindrome", "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": "gelu", "dropout_rate": 0.0, "random_seed": 2244, "learning_rate": 0.06794777041012895, "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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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[20.170255, 20.183981, 23.452838, 24.723286, 25.571866, 26.962679, 27.796480, 28.675012, 31.247752, 38.707960], [20.027835, 21.659895, 22.561817, 22.601803, 24.156765, 26.221881, 30.157009, 31.550407, 35.309881, 145.275911], [16.795611, 17.203808, 17.379533, 18.077121, 18.268041, 18.883434, 19.896190, 21.404756, 25.078479, 28.733448], [15.748676, 17.195201, 17.596609, 18.727212, 19.344741, 19.715210, 20.088871, 21.855665, 23.359669, 47.103481], [20.552915, 20.581800, 21.510617, 22.859552, 23.955539, 24.017047, 31.467461, 35.634226, 39.167850, 190.703460], [17.999463, 20.368590, 20.781522, 21.886791, 22.844027, 23.715934, 24.815871, 24.934942, 32.423985, 97.243095], [21.117415, 21.744577, 22.549395, 23.081767, 30.354551, 30.624988, 31.387784, 35.746207, 37.662719, 203.207938]]
### 2
fourier: [[21.456088, 22.401775, 23.981095, 24.481064, 24.515678, 30.588172, 35.033932, 36.791566, 39.693955, 165.238881], [19.824639, 21.748407, 22.984316, 23.589782, 24.485082, 25.117866, 28.148796, 29.327185, 35.159227, 140.286608], [7.949179, 8.367580, 8.936819, 9.008016, 9.312950, 9.504213, 9.649854, 12.603897, 13.660206, 37.448262], [10.912428, 11.131986, 12.149148, 13.762594, 13.858916, 14.419189, 14.426103, 15.259254, 15.882974, 84.625454], [12.532271, 12.766441, 13.221798, 14.025352, 14.174356, 17.129760, 19.051880, 19.923004, 22.263559, 150.007022], [17.343927, 17.417053, 17.677986, 18.874559, 19.298142, 21.106794, 25.778257, 27.782112, 28.689089, 210.024324], [7.240781, 7.541286, 7.578634, 7.700016, 7.943077, 8.122868, 8.365834, 8.489116, 8.820237, 11.940909]]
### 4
fourier: [[5.972418, 6.043532, 6.279831, 6.380487, 6.509902, 7.299710, 8.185765, 8.236455, 9.528776, 16.451080], [6.635277, 7.096707, 7.559662, 7.925330, 7.948062, 7.984543, 8.009019, 9.633116, 9.859911, 10.454341], [7.946147, 8.373192, 8.652047, 9.050962, 9.230183, 9.991881, 10.947352, 11.415761, 11.659925, 59.730470], [14.320506, 14.531654, 14.550056, 14.550259, 15.534931, 19.748955, 20.876895, 22.679521, 25.063683, 158.709497], [10.885045, 10.986316, 12.100931, 12.484369, 12.763172, 15.095855, 16.206746, 17.499894, 20.282966, 100.625480], [31.255762, 31.282683, 34.923463, 35.488534, 35.508109, 45.382094, 46.024316, 50.925460, 54.582887, 209.377905], [19.170046, 19.426619, 21.099867, 22.345435, 22.905094, 27.281520, 27.535032, 31.167176, 33.738159, 141.581001]]
### 6
fourier: [[4.877158, 4.917624, 5.517906, 5.638464, 5.816342, 6.547581, 6.601447, 7.704444, 7.725697, 81.664718], [11.663249, 12.083994, 13.282818, 13.291535, 13.623127, 17.211931, 17.933531, 19.664311, 20.676420, 80.724202], [9.085135, 9.217264, 10.002330, 10.225053, 10.476927, 13.343353, 13.967722, 15.122862, 16.330187, 29.667546], [18.216255, 18.920172, 20.435074, 20.985468, 21.038000, 27.455612, 28.283583, 30.717299, 33.108707, 121.799865], [12.891555, 13.516744, 14.567898, 14.795870, 15.578210, 18.429454, 19.173689, 21.508744, 22.092532, 48.025004], [26.556640, 26.752224, 29.175547, 30.529521, 30.714874, 38.652146, 40.155112, 43.883648, 47.488508, 226.770135], [20.939877, 21.271982, 22.557871, 23.980152, 24.289732, 31.261791, 32.042752, 34.598894, 38.581108, 173.006447]]
### 8
fourier: [[18.031478, 18.141187, 19.447453, 19.899655, 21.089506, 25.194303, 26.998763, 29.614312, 31.582905, 149.229845], [5.300448, 5.319924, 5.672857, 5.760663, 6.030792, 6.412313, 8.557374, 8.627270, 8.933820, 9.932004], [19.731947, 20.055183, 22.025560, 22.342354, 23.217579, 29.519989, 30.721134, 32.849978, 35.812466, 186.627900], [9.898271, 10.667705, 11.010689, 11.038307, 11.668208, 14.173738, 14.952271, 16.328408, 17.096792, 94.207212], [2.503926, 2.559864, 2.872489, 2.887184, 3.283199, 3.644748, 3.745241, 3.922105, 4.495189, 4.688768], [8.744751, 9.148786, 9.687784, 9.944893, 10.730355, 12.096894, 12.863757, 14.625520, 15.271235, 116.622193], [12.725789, 12.800761, 14.010001, 14.317642, 14.679239, 18.727035, 19.881771, 21.090779, 23.047274, 124.134676]]
### 10
fourier: [[3.509608, 3.666144, 3.766750, 3.847371, 4.063969, 4.906342, 5.514039, 5.786765, 6.288087, 32.789310], [17.483987, 19.033066, 19.466506, 19.621592, 20.619974, 25.256242, 27.960657, 29.398190, 31.615076, 139.613207], [3.989955, 4.179280, 4.277700, 4.669677, 4.741414, 5.379788, 6.644276, 6.800484, 7.281673, 23.478248], [10.107037, 11.239559, 11.272957, 11.294644, 12.016112, 14.520501, 16.426784, 17.051319, 18.334343, 85.052814], [8.313647, 8.989190, 9.386339, 9.501657, 9.803886, 12.241554, 13.152983, 14.033288, 15.008317, 54.538523], [11.862112, 12.787316, 13.063143, 13.193147, 14.035730, 16.942225, 18.720190, 19.861918, 21.279005, 81.544343], [6.504756, 7.123283, 7.191214, 7.210690, 7.666069, 9.195571, 10.568205, 10.885614, 11.738247, 49.458384]]
### 12
fourier: [[6.743315, 7.569517, 7.591679, 7.650608, 7.761820, 10.158156, 11.257933, 11.424509, 12.550479, 26.135333]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[20.170255, 20.183981, 23.452838, 24.723286, 25.571866, 26.962679, 27.796480, 28.675012, 31.247752, 38.707960], [20.027835, 21.659895, 22.561817, 22.601803, 24.156765, 26.221881, 30.157009, 31.550407, 35.309881, 145.275911], [16.795611, 17.203808, 17.379533, 18.077121, 18.268041, 18.883434, 19.896190, 21.404756, 25.078479, 28.733448], [15.748676, 17.195201, 17.596609, 18.727212, 19.344741, 19.715210, 20.088871, 21.855665, 23.359669, 47.103481], [20.552915, 20.581800, 21.510617, 22.859552, 23.955539, 24.017047, 31.467461, 35.634226, 39.167850, 190.703460], [17.999463, 20.368590, 20.781522, 21.886791, 22.844027, 23.715934, 24.815871, 24.934942, 32.423985, 97.243095], [21.117415, 21.744577, 22.549395, 23.081767, 30.354551, 30.624988, 31.387784, 35.746207, 37.662719, 203.207938]]
### 2
fourier: [[21.456088, 22.401775, 23.981095, 24.481064, 24.515678, 30.588172, 35.033932, 36.791566, 39.693955, 165.238881], [19.824639, 21.748407, 22.984316, 23.589782, 24.485082, 25.117866, 28.148796, 29.327185, 35.159227, 140.286608], [7.949179, 8.367580, 8.936819, 9.008016, 9.312950, 9.504213, 9.649854, 12.603897, 13.660206, 37.448262], [10.912428, 11.131986, 12.149148, 13.762594, 13.858916, 14.419189, 14.426103, 15.259254, 15.882974, 84.625454], [12.532271, 12.766441, 13.221798, 14.025352, 14.174356, 17.129760, 19.051880, 19.923004, 22.263559, 150.007022], [17.343927, 17.417053, 17.677986, 18.874559, 19.298142, 21.106794, 25.778257, 27.782112, 28.689089, 210.024324], [7.240781, 7.541286, 7.578634, 7.700016, 7.943077, 8.122868, 8.365834, 8.489116, 8.820237, 11.940909]]
### 4
fourier: [[5.972418, 6.043532, 6.279831, 6.380487, 6.509902, 7.299710, 8.185765, 8.236455, 9.528776, 16.451080], [6.635277, 7.096707, 7.559662, 7.925330, 7.948062, 7.984543, 8.009019, 9.633116, 9.859911, 10.454341], [7.946147, 8.373192, 8.652047, 9.050962, 9.230183, 9.991881, 10.947352, 11.415761, 11.659925, 59.730470], [14.320506, 14.531654, 14.550056, 14.550259, 15.534931, 19.748955, 20.876895, 22.679521, 25.063683, 158.709497], [10.885045, 10.986316, 12.100931, 12.484369, 12.763172, 15.095855, 16.206746, 17.499894, 20.282966, 100.625480], [31.255762, 31.282683, 34.923463, 35.488534, 35.508109, 45.382094, 46.024316, 50.925460, 54.582887, 209.377905], [19.170046, 19.426619, 21.099867, 22.345435, 22.905094, 27.281520, 27.535032, 31.167176, 33.738159, 141.581001]]
### 6
fourier: [[4.877158, 4.917624, 5.517906, 5.638464, 5.816342, 6.547581, 6.601447, 7.704444, 7.725697, 81.664718], [11.663249, 12.083994, 13.282818, 13.291535, 13.623127, 17.211931, 17.933531, 19.664311, 20.676420, 80.724202], [9.085135, 9.217264, 10.002330, 10.225053, 10.476927, 13.343353, 13.967722, 15.122862, 16.330187, 29.667546], [18.216255, 18.920172, 20.435074, 20.985468, 21.038000, 27.455612, 28.283583, 30.717299, 33.108707, 121.799865], [12.891555, 13.516744, 14.567898, 14.795870, 15.578210, 18.429454, 19.173689, 21.508744, 22.092532, 48.025004], [26.556640, 26.752224, 29.175547, 30.529521, 30.714874, 38.652146, 40.155112, 43.883648, 47.488508, 226.770135], [20.939877, 21.271982, 22.557871, 23.980152, 24.289732, 31.261791, 32.042752, 34.598894, 38.581108, 173.006447]]
### 8
fourier: [[18.031478, 18.141187, 19.447453, 19.899655, 21.089506, 25.194303, 26.998763, 29.614312, 31.582905, 149.229845], [5.300448, 5.319924, 5.672857, 5.760663, 6.030792, 6.412313, 8.557374, 8.627270, 8.933820, 9.932004], [19.731947, 20.055183, 22.025560, 22.342354, 23.217579, 29.519989, 30.721134, 32.849978, 35.812466, 186.627900], [9.898271, 10.667705, 11.010689, 11.038307, 11.668208, 14.173738, 14.952271, 16.328408, 17.096792, 94.207212], [2.503926, 2.559864, 2.872489, 2.887184, 3.283199, 3.644748, 3.745241, 3.922105, 4.495189, 4.688768], [8.744751, 9.148786, 9.687784, 9.944893, 10.730355, 12.096894, 12.863757, 14.625520, 15.271235, 116.622193], [12.725789, 12.800761, 14.010001, 14.317642, 14.679239, 18.727035, 19.881771, 21.090779, 23.047274, 124.134676]]
### 10
fourier: [[3.509608, 3.666144, 3.766750, 3.847371, 4.063969, 4.906342, 5.514039, 5.786765, 6.288087, 32.789310], [17.483987, 19.033066, 19.466506, 19.621592, 20.619974, 25.256242, 27.960657, 29.398190, 31.615076, 139.613207], [3.989955, 4.179280, 4.277700, 4.669677, 4.741414, 5.379788, 6.644276, 6.800484, 7.281673, 23.478248], [10.107037, 11.239559, 11.272957, 11.294644, 12.016112, 14.520501, 16.426784, 17.051319, 18.334343, 85.052814], [8.313647, 8.989190, 9.386339, 9.501657, 9.803886, 12.241554, 13.152983, 14.033288, 15.008317, 54.538523], [11.862112, 12.787316, 13.063143, 13.193147, 14.035730, 16.942225, 18.720190, 19.861918, 21.279005, 81.544343], [6.504756, 7.123283, 7.191214, 7.210690, 7.666069, 9.195571, 10.568205, 10.885614, 11.738247, 49.458384]]
### 12
fourier: [[6.743315, 7.569517, 7.591679, 7.650608, 7.761820, 10.158156, 11.257933, 11.424509, 12.550479, 26.135333]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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12.550479456264464, 26.135332711040974]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_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"}}
|
{"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": [[-0.604157, 0.239302, 0.163527, 0.256235, -0.559466], [-0.680514, 0.337507, 0.115888, -0.513133, -0.327153], [-0.260283, -0.30128, -0.072714, 0.416299, -0.309627], [-0.031543, -0.338333, 0.423717, -0.244303, -0.411955], [0.172554, -0.003776, 0.147118, 0.167876, 0.794621], [0.730319, -0.142904, -0.115343, 0.135867, 0.11236], [0.431277, 0.27326, 0.248725, 0.093613, 0.490514]], "network.0.bias": [-0.184872, -0.120531, 0.19468, 0.279275, 0.263728, 0.243044, -0.102049], "network.2.weight": [[-0.384017, 0.018498, 0.581062, -0.197621, 0.539171, 0.346221, 0.271893], [-0.419285, -0.333955, 0.013593, -0.432415, -0.005338, 0.48806, 0.438068], [0.018329, 0.358885, -0.635162, -0.112604, 0.125099, -0.480227, 0.078163], [-0.119619, 0.492253, 0.545211, -0.277788, 0.400435, 0.320734, -0.151918], [-0.42788, 0.662354, 0.624035, -0.058208, 0.128353, 0.091188, 0.36657], [-0.120445, 0.047714, -0.089643, 0.215908, -0.252322, 0.056833, -0.564881], [-0.360448, 0.257752, -0.024741, 0.367177, -0.128772, -0.288648, 0.023626]], "network.2.bias": [-0.184036, 0.340179, -0.17233, 0.067144, 0.517246, -0.587254, 0.665908], "network.4.weight": [[-0.101584, 0.342456, -0.025834, -0.087478, 0.071147, 0.168627, -0.258943], [-0.163968, -0.044961, -0.159519, -0.185164, 0.114219, -0.054414, 0.519895], [-0.133148, 0.044794, 0.150844, -0.561923, 0.087565, -0.427656, 0.131125], [-0.351071, -0.163069, 0.175215, 0.34146, -0.418812, -0.096331, 0.228897], [0.212739, 0.31463, -0.186239, 0.045425, -0.006769, -0.248319, 0.036792], [0.449441, 0.46622, 0.458282, 0.579314, 0.404504, -0.045334, -0.615303], [0.352487, 0.330748, -0.263534, 0.304804, 0.072735, 0.081596, -0.406503]], "network.4.bias": [-0.502252, 0.16705, -0.191035, -0.563933, 0.213686, -0.208421, 0.132155], "network.6.weight": [[-0.071523, -0.298245, -0.515004, -0.320684, 0.096569, 0.073104, 0.049788], [0.15924, -0.10455, -0.098444, 0.189772, -0.196427, 0.350288, 0.128831], [-0.126081, 0.158647, -0.421495, -0.361588, 0.066474, -0.156919, -0.221283], [-0.045722, -0.065953, 0.180141, 0.028309, -0.016932, 0.525078, 0.140317], [-0.266674, 0.591952, -0.043819, -0.609648, 0.335821, -0.169771, -0.470195], [-0.024545, -0.23809, -0.275761, -0.136448, 0.301839, 0.48061, 0.420991], [0.562778, 0.005868, -0.091235, 0.243311, -0.592685, -0.32697, -0.321081]], "network.6.bias": [0.500497, 0.099727, 0.219267, -0.03931, 0.139894, 0.43253, -0.062374], "network.8.weight": [[0.062926, 0.174533, -0.343719, -0.06543, -0.082412, 0.588384, -0.168849], [0.393907, -0.028926, -0.324415, -0.416866, 0.195374, 0.018772, -0.019183], [-0.554517, -0.184867, -0.173896, -0.203265, -0.277765, -0.445435, 0.026529], [0.37077, 0.210132, -0.251732, 0.319405, -0.305002, -0.052625, 0.205858], [-0.253015, -0.153232, -0.196901, -0.296079, -0.100887, 0.375373, 0.493718], [-0.450551, -0.083753, 0.080841, 0.27967, 0.052932, -0.388526, 0.156175], [-0.067865, -0.384178, 0.007784, 0.112272, -0.239711, -0.381361, -0.126179]], "network.8.bias": [0.112069, 0.231054, -0.114812, 0.343279, -0.198164, -0.292068, -0.215772], "network.10.weight": [[-0.291588, 0.085624, -0.030348, 0.175854, 0.240933, 0.196454, -0.261807], [-0.67082, 0.29157, -0.189792, -0.500335, 0.332154, 0.306551, -0.381255], [0.170226, -0.380208, 0.448639, -0.055739, 0.012538, 0.076859, 0.408528], [0.224899, -0.305776, 0.287396, 0.492306, 0.15543, 0.013232, 0.180018], [-0.27704, -0.001079, -0.022559, -0.38472, 0.275879, 0.316456, -0.035886], [0.403808, -0.228588, 0.064446, 0.399102, 0.180694, -0.371381, 0.026083], [-0.264706, 0.428705, -0.071554, -0.110099, 0.23429, -0.00618, 0.00402]], "network.10.bias": [-0.083523, -0.063251, 0.167607, 0.196127, 0.226373, -0.124612, -0.068418], "network.12.weight": [[-0.093782, -0.210573, -0.382138, -0.413964, -0.087394, -0.126244, -0.110198]], "network.12.bias": [0.204916]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7173006236553192, "train_acc": 0.445, "val_loss": 0.6686474680900574, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6858792901039124, "train_acc": 0.555, "val_loss": 0.6450303792953491, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.663735955953598, "train_acc": 0.555, "val_loss": 0.5796453356742859, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7855405807495117, "train_acc": 0.475, "val_loss": 0.48820263147354126, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5669897198677063, "train_acc": 0.835, "val_loss": 0.6625535488128662, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.627464771270752, "train_acc": 0.69, "val_loss": 0.6478794813156128, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5893656611442566, "train_acc": 0.75, "val_loss": 0.5216512084007263, "val_acc": 0.82}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6686474680900574, "final_val_loss": 0.5796453356742859, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.48820263147354126, "final_val_loss": 0.5216512084007263, "initial_val_acc": 0.88, "final_val_acc": 0.82, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.28, "first_improvement_epoch": 2}}
|
288
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.66, "improved_accuracy": 0.96, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1553, "learning_rate": 0.05546400425252483, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.940262,
0.51239,
0.283881,
0.070219,
0.324726
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0.2559
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}
## Activation Signature
### 0
fourier: [[38.299813, 41.102890, 41.339003, 42.721951, 42.776274, 43.591521, 47.542630, 50.544531, 54.851005, 347.723782], [19.554256, 19.646306, 19.977059, 21.694357, 22.115856, 27.993938, 28.100390, 31.091019, 31.321760, 59.851102], [36.788601, 37.046603, 38.452544, 38.507184, 40.095033, 41.275198, 47.747536, 47.875601, 57.654079, 193.921500], [31.645452, 32.880073, 33.116001, 34.181097, 34.391054, 37.943122, 41.296707, 45.287933, 56.547867, 121.016004], [21.254372, 21.518975, 21.834474, 24.697773, 24.824684, 24.877006, 25.739140, 26.198375, 26.835720, 39.601208]]
### 2
fourier: [[9.364510, 9.580022, 11.100669, 12.178360, 12.537263, 12.719897, 14.641194, 15.902186, 16.566192, 86.757860], [15.647165, 16.148019, 17.144406, 17.169403, 17.576180, 18.923462, 19.548618, 21.225624, 21.315381, 29.962631], [52.461251, 53.883647, 54.540620, 56.161192, 61.391867, 62.519071, 67.147317, 68.484591, 71.302507, 417.747078], [6.229835, 6.706080, 6.808492, 7.070721, 7.456856, 7.598401, 8.185893, 9.077519, 9.691385, 62.133768], [19.957644, 20.343812, 20.652964, 21.044534, 21.334222, 22.882643, 23.186112, 23.645805, 26.540208, 171.121319]]
### 4
fourier: [[8.419989, 8.604925, 8.677791, 8.991618, 10.014092, 10.932407, 11.800671, 12.533481, 12.874075, 72.021725], [9.275551, 9.297006, 9.534617, 10.636305, 11.289853, 13.441426, 13.701294, 14.791110, 15.969804, 53.298969], [21.675066, 22.373603, 24.589946, 26.829367, 27.127186, 27.649953, 29.326994, 29.731676, 31.485550, 200.632681], [20.934988, 22.907285, 23.428674, 24.421198, 25.550659, 25.620283, 26.548742, 27.984330, 30.209850, 93.424778], [34.981654, 36.972326, 38.033337, 40.519828, 43.240733, 45.696786, 46.884539, 46.891696, 48.810531, 292.180183]]
### 6
fourier: [[56.518362, 59.337020, 60.506877, 65.642070, 70.171871, 73.400899, 75.269250, 77.462222, 80.830313, 492.514603], [7.024875, 7.245934, 8.439985, 8.470491, 9.410983, 9.671634, 10.292299, 10.383290, 10.846852, 92.646252], [28.871905, 29.831374, 30.657196, 34.827652, 35.137114, 36.493320, 37.926191, 39.154315, 39.168584, 255.226926], [38.998678, 39.810476, 41.808124, 45.042362, 48.042337, 50.480585, 51.594385, 53.334149, 54.846030, 333.923710], [20.185412, 20.728548, 21.211564, 21.690887, 24.560965, 25.076346, 26.901711, 27.216523, 29.188447, 169.252011]]
### 8
fourier: [[35.622140, 36.943183, 38.747707, 41.253839, 44.225416, 46.137672, 47.819479, 49.219333, 50.596509, 283.706872]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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],
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],
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"network.4.bias": [
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"network.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[38.299813, 41.102890, 41.339003, 42.721951, 42.776274, 43.591521, 47.542630, 50.544531, 54.851005, 347.723782], [19.554256, 19.646306, 19.977059, 21.694357, 22.115856, 27.993938, 28.100390, 31.091019, 31.321760, 59.851102], [36.788601, 37.046603, 38.452544, 38.507184, 40.095033, 41.275198, 47.747536, 47.875601, 57.654079, 193.921500], [31.645452, 32.880073, 33.116001, 34.181097, 34.391054, 37.943122, 41.296707, 45.287933, 56.547867, 121.016004], [21.254372, 21.518975, 21.834474, 24.697773, 24.824684, 24.877006, 25.739140, 26.198375, 26.835720, 39.601208]]
### 2
fourier: [[9.364510, 9.580022, 11.100669, 12.178360, 12.537263, 12.719897, 14.641194, 15.902186, 16.566192, 86.757860], [15.647165, 16.148019, 17.144406, 17.169403, 17.576180, 18.923462, 19.548618, 21.225624, 21.315381, 29.962631], [52.461251, 53.883647, 54.540620, 56.161192, 61.391867, 62.519071, 67.147317, 68.484591, 71.302507, 417.747078], [6.229835, 6.706080, 6.808492, 7.070721, 7.456856, 7.598401, 8.185893, 9.077519, 9.691385, 62.133768], [19.957644, 20.343812, 20.652964, 21.044534, 21.334222, 22.882643, 23.186112, 23.645805, 26.540208, 171.121319]]
### 4
fourier: [[8.419989, 8.604925, 8.677791, 8.991618, 10.014092, 10.932407, 11.800671, 12.533481, 12.874075, 72.021725], [9.275551, 9.297006, 9.534617, 10.636305, 11.289853, 13.441426, 13.701294, 14.791110, 15.969804, 53.298969], [21.675066, 22.373603, 24.589946, 26.829367, 27.127186, 27.649953, 29.326994, 29.731676, 31.485550, 200.632681], [20.934988, 22.907285, 23.428674, 24.421198, 25.550659, 25.620283, 26.548742, 27.984330, 30.209850, 93.424778], [34.981654, 36.972326, 38.033337, 40.519828, 43.240733, 45.696786, 46.884539, 46.891696, 48.810531, 292.180183]]
### 6
fourier: [[56.518362, 59.337020, 60.506877, 65.642070, 70.171871, 73.400899, 75.269250, 77.462222, 80.830313, 492.514603], [7.024875, 7.245934, 8.439985, 8.470491, 9.410983, 9.671634, 10.292299, 10.383290, 10.846852, 92.646252], [28.871905, 29.831374, 30.657196, 34.827652, 35.137114, 36.493320, 37.926191, 39.154315, 39.168584, 255.226926], [38.998678, 39.810476, 41.808124, 45.042362, 48.042337, 50.480585, 51.594385, 53.334149, 54.846030, 333.923710], [20.185412, 20.728548, 21.211564, 21.690887, 24.560965, 25.076346, 26.901711, 27.216523, 29.188447, 169.252011]]
### 8
fourier: [[35.622140, 36.943183, 38.747707, 41.253839, 44.225416, 46.137672, 47.819479, 49.219333, 50.596509, 283.706872]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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50.59650947723141, 283.7068724632263]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[0.940262, 0.51239, 0.283881, 0.070219, 0.324726], [0.382748, 0.119745, -0.13694, -0.372265, 0.646474], [-1.143148, -0.171719, 0.12813, -0.045448, -0.482159], [0.488512, 0.769911, -0.023279, 0.107076, -1.052098], [-0.500066, -0.263674, 0.193048, 0.64155, -0.030565]], "network.0.bias": [0.615733, 0.257538, 0.005284, 0.450344, -0.198535], "network.2.weight": [[-0.018504, 0.475993, 0.042762, 0.326996, 0.353773], [0.188329, -0.415656, -0.358554, -0.589033, 0.680658], [0.523774, 0.860549, 0.629463, 1.093399, -0.505002], [-0.417781, 0.663263, 0.290945, 0.37881, 0.067428], [-0.537113, 0.242353, 0.518831, -0.060434, 0.03801]], "network.2.bias": [-0.261921, 0.146399, 0.369851, -0.406169, 0.025156], "network.4.weight": [[0.007243, 0.32898, -0.132066, -0.076704, -0.187786], [-0.426744, 0.621647, -0.050981, 0.223614, -0.403354], [0.212103, -0.37368, 0.367714, -0.610291, -0.133832], [-0.5422, 0.352809, -0.274416, -0.040067, -0.365593], [-0.48417, -0.587455, 0.726983, -0.779143, -0.952031]], "network.4.bias": [-0.365431, -0.254765, 0.428152, 0.518496, 0.415666], "network.6.weight": [[0.608566, 0.546312, -1.001265, 0.791713, -0.934661], [0.530572, 0.05862, 0.217971, 0.478207, -0.329174], [-0.026897, -0.12022, -0.00534, 0.150278, -0.82074], [0.002897, -0.477186, 0.357699, -0.546118, 0.852665], [0.042731, 0.660088, -0.637594, 0.409159, -0.115833]], "network.6.bias": [-0.249505, -0.403977, -0.169968, 0.186178, -0.132487], "network.8.weight": [[0.447915, 0.052124, 0.02821, -0.917931, 0.323741]], "network.8.bias": [0.2559]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7143107652664185, "train_acc": 0.41, "val_loss": 0.7054865956306458, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6812030971050262, "train_acc": 0.58, "val_loss": 0.7510349154472351, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6565665304660797, "train_acc": 0.59, "val_loss": 0.678297758102417, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5969204604625702, "train_acc": 0.59, "val_loss": 0.5675498843193054, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5167526453733444, "train_acc": 0.775, "val_loss": 0.25131988525390625, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.38605383038520813, "train_acc": 0.855, "val_loss": 0.3651708960533142, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.36087875068187714, "train_acc": 0.82, "val_loss": 0.23082537949085236, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.33022817224264145, "train_acc": 0.85, "val_loss": 0.2437468320131302, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3088865578174591, "train_acc": 0.865, "val_loss": 0.21855522692203522, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2662220150232315, "train_acc": 0.905, "val_loss": 0.19198906421661377, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3010018318891525, "train_acc": 0.895, "val_loss": 0.13994872570037842, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3016478419303894, "train_acc": 0.9, "val_loss": 0.14123159646987915, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.24988922476768494, "train_acc": 0.91, "val_loss": 0.2004268616437912, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2897189110517502, "train_acc": 0.89, "val_loss": 0.2116369754076004, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7054865956306458, "final_val_loss": 0.5675498843193054, "initial_val_acc": 0.44, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.25131988525390625, "final_val_loss": 0.2116369754076004, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.29999999999999993, "first_improvement_epoch": 3}}
|
289
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.88, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2669, "learning_rate": 0.026492499558623907, "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
fourier: [[23.189671, 26.986440, 27.328294, 27.371471, 28.205690, 29.134243, 31.288374, 33.182838, 37.001040, 80.192507], [21.174455, 21.902348, 22.048214, 22.404231, 26.284851, 30.445279, 33.526615, 35.384341, 35.547601, 69.974358], [27.643272, 33.048695, 33.494916, 34.458011, 35.021589, 35.986983, 36.626452, 38.605289, 45.490314, 329.269238], [16.992800, 17.078634, 17.741983, 18.060528, 20.177232, 22.126493, 26.255262, 26.506549, 28.015522, 28.119554], [12.875913, 14.953561, 14.988015, 15.060720, 16.040143, 17.028057, 17.863720, 17.959205, 20.467397, 30.060624], [26.268209, 27.111788, 27.209377, 30.687931, 32.794309, 36.728807, 39.612777, 43.499355, 46.422147, 110.434752], [22.685718, 22.780350, 22.953366, 27.478858, 27.567080, 28.575170, 28.696516, 37.847989, 40.111418, 126.854043], [23.595545, 24.910927, 26.631481, 28.831431, 28.887523, 32.658352, 33.829251, 36.626066, 42.220663, 218.926880]]
### 2
fourier: [[19.039086, 19.793324, 20.861732, 21.309121, 29.024543, 32.773810, 32.991901, 33.457455, 38.283986, 132.973281], [18.623395, 18.670360, 21.541954, 22.186159, 22.721402, 24.031340, 25.792837, 29.081502, 37.502396, 91.178217], [9.620839, 10.120669, 10.162726, 10.725888, 11.601308, 11.688747, 11.755165, 13.286605, 16.408060, 93.023781], [11.246902, 12.491625, 12.832864, 13.698446, 14.204374, 14.359221, 14.393220, 15.045068, 19.880146, 30.067259], [15.851373, 15.911818, 16.466041, 16.795590, 16.977984, 18.700495, 23.741430, 28.873144, 30.191556, 101.506399], [20.838167, 21.402346, 22.297772, 24.131712, 32.630153, 34.240691, 34.297975, 38.793925, 41.345122, 154.477482], [19.618665, 19.826581, 20.735616, 21.721362, 29.499093, 34.204879, 35.189943, 37.617471, 39.964431, 121.592311], [14.306516, 14.419746, 14.897921, 18.598656, 19.677763, 22.493065, 23.909227, 24.117023, 31.848196, 70.775527]]
### 4
fourier: [[28.033347, 29.894079, 32.697077, 35.732228, 41.797104, 43.480478, 45.473876, 51.865949, 61.092160, 218.581347], [37.688564, 39.638313, 43.118799, 47.745060, 55.628835, 58.611666, 59.435301, 68.194784, 82.266990, 240.564596], [31.433114, 33.846477, 40.130090, 40.595181, 42.710112, 45.965778, 48.216716, 57.586542, 69.599640, 207.093761], [27.675265, 27.808254, 29.159794, 30.223280, 32.699307, 38.957507, 39.290333, 42.302615, 51.810536, 93.903998], [15.180594, 15.696780, 16.406460, 17.156272, 18.629620, 22.027289, 22.874903, 22.893888, 26.180568, 28.483985], [12.039056, 12.977503, 13.417369, 14.463633, 15.095925, 15.338423, 16.273209, 19.817927, 23.218115, 40.317356], [23.494313, 24.941899, 28.251500, 29.535672, 30.331679, 33.084779, 34.638811, 38.856855, 47.834581, 75.976155], [4.670364, 5.370921, 5.780511, 6.256161, 6.397873, 6.509896, 6.510160, 6.897056, 8.029952, 8.472157]]
### 6
fourier: [[18.200398, 19.590417, 21.030408, 21.773589, 23.021208, 24.634681, 27.537797, 29.774603, 31.879950, 52.139882], [15.344525, 17.513165, 17.821180, 18.010883, 18.400919, 22.327757, 24.372523, 24.699887, 25.217878, 46.011773], [22.758192, 24.612271, 26.232443, 28.894985, 31.820821, 34.239809, 34.289730, 41.178412, 50.104238, 129.763957], [36.663991, 37.147532, 44.988077, 45.514777, 49.286140, 52.471773, 55.493688, 64.927069, 75.450509, 167.882235], [26.465312, 29.637484, 30.072801, 30.383741, 32.446331, 37.294052, 39.685513, 42.282085, 42.396171, 94.391693], [42.824078, 43.252704, 53.125078, 53.784283, 56.182888, 60.901108, 63.593540, 75.829704, 88.297299, 229.789134], [7.354586, 7.422660, 9.056428, 9.128660, 10.695880, 11.348209, 11.693115, 13.731981, 15.515348, 54.713397], [53.088624, 53.710290, 63.646477, 66.635160, 73.026999, 78.389428, 80.266067, 95.670265, 111.567674, 341.005405]]
### 8
fourier: [[21.551769, 23.928908, 25.239555, 27.053040, 29.428403, 30.601396, 33.061537, 36.611167, 37.455910, 85.724865], [53.869681, 58.483053, 68.730786, 69.968054, 73.607245, 78.079202, 84.773670, 98.652344, 110.374259, 331.783300], [37.194357, 40.641659, 45.881137, 49.636662, 50.394707, 53.044962, 58.261967, 66.571693, 72.494450, 187.654598], [41.967871, 45.688582, 46.869567, 51.414107, 57.141899, 58.758097, 62.082367, 69.236000, 70.105894, 167.728732], [42.917552, 46.868178, 52.326037, 56.445488, 56.687960, 60.009318, 66.365104, 76.469978, 81.965007, 205.451761], [48.782109, 52.888370, 60.008214, 62.922553, 64.925240, 69.153893, 75.226274, 87.733975, 94.797839, 289.062756], [14.855739, 15.864178, 16.101933, 17.213101, 20.195771, 20.843504, 21.180642, 21.294998, 23.351981, 54.559431], [19.227296, 20.967732, 23.972290, 25.602533, 25.883060, 27.478986, 29.786681, 34.104647, 37.274688, 114.408220]]
### 10
fourier: [[40.447145, 44.090112, 48.837589, 51.888285, 53.162606, 56.702923, 61.694446, 72.248025, 76.824686, 207.101001], [76.830975, 80.393855, 87.664763, 97.289309, 104.455353, 110.063216, 116.967170, 140.850312, 159.349005, 484.759861], [32.182807, 34.929209, 39.473956, 40.984636, 42.960637, 45.695552, 49.613707, 58.076068, 62.774630, 207.184054], [16.996829, 18.540464, 20.843162, 21.735243, 22.559531, 24.170735, 26.008320, 30.373542, 32.575142, 65.514025], [19.146716, 19.849676, 20.179208, 24.700198, 26.393056, 27.829762, 28.499764, 35.957918, 41.893753, 133.830155], [37.982606, 40.929983, 41.262935, 50.153070, 52.733592, 55.714514, 56.702082, 71.496407, 85.770767, 277.137008], [44.830423, 48.824552, 55.676643, 56.968288, 60.267900, 64.061931, 69.267914, 81.345721, 88.513489, 238.380791], [83.535933, 90.879801, 100.694416, 106.076085, 114.915027, 121.396720, 129.897339, 155.673119, 171.794795, 555.269997]]
### 12
fourier: [[68.199898, 74.088688, 82.069067, 86.943153, 93.631632, 99.114187, 106.823385, 126.635723, 141.038382, 448.129373]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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}
## Activation Signature
### 0
fourier: [[23.189671, 26.986440, 27.328294, 27.371471, 28.205690, 29.134243, 31.288374, 33.182838, 37.001040, 80.192507], [21.174455, 21.902348, 22.048214, 22.404231, 26.284851, 30.445279, 33.526615, 35.384341, 35.547601, 69.974358], [27.643272, 33.048695, 33.494916, 34.458011, 35.021589, 35.986983, 36.626452, 38.605289, 45.490314, 329.269238], [16.992800, 17.078634, 17.741983, 18.060528, 20.177232, 22.126493, 26.255262, 26.506549, 28.015522, 28.119554], [12.875913, 14.953561, 14.988015, 15.060720, 16.040143, 17.028057, 17.863720, 17.959205, 20.467397, 30.060624], [26.268209, 27.111788, 27.209377, 30.687931, 32.794309, 36.728807, 39.612777, 43.499355, 46.422147, 110.434752], [22.685718, 22.780350, 22.953366, 27.478858, 27.567080, 28.575170, 28.696516, 37.847989, 40.111418, 126.854043], [23.595545, 24.910927, 26.631481, 28.831431, 28.887523, 32.658352, 33.829251, 36.626066, 42.220663, 218.926880]]
### 2
fourier: [[19.039086, 19.793324, 20.861732, 21.309121, 29.024543, 32.773810, 32.991901, 33.457455, 38.283986, 132.973281], [18.623395, 18.670360, 21.541954, 22.186159, 22.721402, 24.031340, 25.792837, 29.081502, 37.502396, 91.178217], [9.620839, 10.120669, 10.162726, 10.725888, 11.601308, 11.688747, 11.755165, 13.286605, 16.408060, 93.023781], [11.246902, 12.491625, 12.832864, 13.698446, 14.204374, 14.359221, 14.393220, 15.045068, 19.880146, 30.067259], [15.851373, 15.911818, 16.466041, 16.795590, 16.977984, 18.700495, 23.741430, 28.873144, 30.191556, 101.506399], [20.838167, 21.402346, 22.297772, 24.131712, 32.630153, 34.240691, 34.297975, 38.793925, 41.345122, 154.477482], [19.618665, 19.826581, 20.735616, 21.721362, 29.499093, 34.204879, 35.189943, 37.617471, 39.964431, 121.592311], [14.306516, 14.419746, 14.897921, 18.598656, 19.677763, 22.493065, 23.909227, 24.117023, 31.848196, 70.775527]]
### 4
fourier: [[28.033347, 29.894079, 32.697077, 35.732228, 41.797104, 43.480478, 45.473876, 51.865949, 61.092160, 218.581347], [37.688564, 39.638313, 43.118799, 47.745060, 55.628835, 58.611666, 59.435301, 68.194784, 82.266990, 240.564596], [31.433114, 33.846477, 40.130090, 40.595181, 42.710112, 45.965778, 48.216716, 57.586542, 69.599640, 207.093761], [27.675265, 27.808254, 29.159794, 30.223280, 32.699307, 38.957507, 39.290333, 42.302615, 51.810536, 93.903998], [15.180594, 15.696780, 16.406460, 17.156272, 18.629620, 22.027289, 22.874903, 22.893888, 26.180568, 28.483985], [12.039056, 12.977503, 13.417369, 14.463633, 15.095925, 15.338423, 16.273209, 19.817927, 23.218115, 40.317356], [23.494313, 24.941899, 28.251500, 29.535672, 30.331679, 33.084779, 34.638811, 38.856855, 47.834581, 75.976155], [4.670364, 5.370921, 5.780511, 6.256161, 6.397873, 6.509896, 6.510160, 6.897056, 8.029952, 8.472157]]
### 6
fourier: [[18.200398, 19.590417, 21.030408, 21.773589, 23.021208, 24.634681, 27.537797, 29.774603, 31.879950, 52.139882], [15.344525, 17.513165, 17.821180, 18.010883, 18.400919, 22.327757, 24.372523, 24.699887, 25.217878, 46.011773], [22.758192, 24.612271, 26.232443, 28.894985, 31.820821, 34.239809, 34.289730, 41.178412, 50.104238, 129.763957], [36.663991, 37.147532, 44.988077, 45.514777, 49.286140, 52.471773, 55.493688, 64.927069, 75.450509, 167.882235], [26.465312, 29.637484, 30.072801, 30.383741, 32.446331, 37.294052, 39.685513, 42.282085, 42.396171, 94.391693], [42.824078, 43.252704, 53.125078, 53.784283, 56.182888, 60.901108, 63.593540, 75.829704, 88.297299, 229.789134], [7.354586, 7.422660, 9.056428, 9.128660, 10.695880, 11.348209, 11.693115, 13.731981, 15.515348, 54.713397], [53.088624, 53.710290, 63.646477, 66.635160, 73.026999, 78.389428, 80.266067, 95.670265, 111.567674, 341.005405]]
### 8
fourier: [[21.551769, 23.928908, 25.239555, 27.053040, 29.428403, 30.601396, 33.061537, 36.611167, 37.455910, 85.724865], [53.869681, 58.483053, 68.730786, 69.968054, 73.607245, 78.079202, 84.773670, 98.652344, 110.374259, 331.783300], [37.194357, 40.641659, 45.881137, 49.636662, 50.394707, 53.044962, 58.261967, 66.571693, 72.494450, 187.654598], [41.967871, 45.688582, 46.869567, 51.414107, 57.141899, 58.758097, 62.082367, 69.236000, 70.105894, 167.728732], [42.917552, 46.868178, 52.326037, 56.445488, 56.687960, 60.009318, 66.365104, 76.469978, 81.965007, 205.451761], [48.782109, 52.888370, 60.008214, 62.922553, 64.925240, 69.153893, 75.226274, 87.733975, 94.797839, 289.062756], [14.855739, 15.864178, 16.101933, 17.213101, 20.195771, 20.843504, 21.180642, 21.294998, 23.351981, 54.559431], [19.227296, 20.967732, 23.972290, 25.602533, 25.883060, 27.478986, 29.786681, 34.104647, 37.274688, 114.408220]]
### 10
fourier: [[40.447145, 44.090112, 48.837589, 51.888285, 53.162606, 56.702923, 61.694446, 72.248025, 76.824686, 207.101001], [76.830975, 80.393855, 87.664763, 97.289309, 104.455353, 110.063216, 116.967170, 140.850312, 159.349005, 484.759861], [32.182807, 34.929209, 39.473956, 40.984636, 42.960637, 45.695552, 49.613707, 58.076068, 62.774630, 207.184054], [16.996829, 18.540464, 20.843162, 21.735243, 22.559531, 24.170735, 26.008320, 30.373542, 32.575142, 65.514025], [19.146716, 19.849676, 20.179208, 24.700198, 26.393056, 27.829762, 28.499764, 35.957918, 41.893753, 133.830155], [37.982606, 40.929983, 41.262935, 50.153070, 52.733592, 55.714514, 56.702082, 71.496407, 85.770767, 277.137008], [44.830423, 48.824552, 55.676643, 56.968288, 60.267900, 64.061931, 69.267914, 81.345721, 88.513489, 238.380791], [83.535933, 90.879801, 100.694416, 106.076085, 114.915027, 121.396720, 129.897339, 155.673119, 171.794795, 555.269997]]
### 12
fourier: [[68.199898, 74.088688, 82.069067, 86.943153, 93.631632, 99.114187, 106.823385, 126.635723, 141.038382, 448.129373]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.346874, 0.315848, 0.187224, 0.265897, -0.948043], [-0.257134, 0.447359, -0.155867, -0.168925, -0.756329], [-0.287807, -0.387505, -0.529422, -0.674692, 0.307474], [-0.291421, 0.246482, 0.267947, -0.040974, -0.645093], [-0.184197, 0.304405, 0.199669, -0.485045, -0.122719], [0.612091, 0.190969, -0.062794, -0.186972, 0.820184], [-0.43781, -0.414653, 0.016783, -0.46213, 0.590563], [-0.00302, -0.21619, 0.351825, 0.25306, 0.876129]], "network.0.bias": [0.091778, 0.347952, -0.420743, -0.075158, 0.114941, -0.362089, 0.118524, 0.472071], "network.2.weight": [[-0.041257, -0.042358, 0.543662, 0.322827, 0.090226, -0.676271, -0.627945, -0.131406], [-0.32984, 0.128203, -0.285739, -0.006629, -0.028259, 0.426001, 0.218955, 0.332262], [0.486037, 0.04842, -0.042781, -0.010435, 0.265292, -0.377785, -0.37862, 0.311848], [0.481708, 0.234016, 0.137851, 0.336544, 0.182179, -0.132303, 0.221464, -0.020132], [-0.430098, -0.076288, -0.074936, 0.095825, 0.341801, 0.173241, -0.255186, 0.437511], [-0.036874, 0.015103, 0.050793, -0.480351, -0.243676, 0.804751, -0.020367, 0.118443], [0.214964, -0.309555, -0.203181, -0.222733, -0.501386, 0.654385, 0.436022, 0.212904], [-0.113196, 0.241932, -0.251028, -0.057642, -0.612833, 0.443615, 0.202339, 0.207613]], "network.2.bias": [-0.157051, -0.007805, 0.21184, -0.236008, 0.359726, 0.53563, -0.208463, -0.142352], "network.4.weight": [[0.200574, 0.413942, -0.008725, -0.167028, 0.181969, 0.559456, 0.301183, 0.129908], [0.077233, 0.418234, -0.197548, -0.083021, 0.295959, 0.574664, 0.42358, 0.484838], [-0.246393, 0.610329, 0.2289, -0.273768, 0.26495, 0.587216, -0.00558, 0.492318], [-0.021892, -0.409822, 0.469837, 0.361712, -0.462887, -0.648046, 0.252871, 0.068042], [-0.200823, 0.097188, 0.419908, 0.259743, -0.37056, -0.178071, 0.070037, -0.328245], [-0.321293, -0.011883, -0.134959, -0.498344, 0.473785, 0.053166, -0.019065, 0.018565], [-0.521088, -0.034515, 0.290123, 0.311304, -0.500783, -0.232654, -0.164787, -0.338559], [0.216993, 0.084432, 0.123354, 0.091132, -0.0594, -0.258284, -0.116581, 0.283639]], "network.4.bias": [0.445951, 0.219622, -0.089644, -0.046957, -0.042366, 0.190375, 0.188906, 0.127973], "network.6.weight": [[0.145569, -0.438631, 0.062935, 0.454892, 0.07095, -0.315214, 0.383661, 0.199615], [0.224145, -0.362028, -0.083509, 0.490759, 0.550751, 0.012419, 0.177988, -0.239583], [0.329098, 0.130351, 0.28222, -0.144689, -0.198088, -0.048965, 0.215308, 0.513816], [-0.041008, -0.508197, -0.364105, 0.112439, 0.375181, -0.116683, 0.319929, 0.103624], [0.305597, 0.030702, 0.125943, -0.507999, -0.532409, 0.305931, -0.606259, -0.517769], [-0.010248, -0.501298, -0.526118, 0.291966, 0.078873, -0.344606, 0.54043, -0.104728], [-0.199168, -0.048898, 0.047713, 0.314321, -0.369681, -0.12832, 0.063839, 0.077276], [0.542944, 0.462857, 0.439571, -0.161917, -0.246624, 0.252875, -0.251187, -0.593527]], "network.6.bias": [0.035445, -0.193213, -0.273759, 0.274356, 0.221319, -0.040774, -0.063195, 0.322644], "network.8.weight": [[0.508445, 0.225815, -0.46467, 0.43241, -0.217931, 0.106408, 0.062953, -0.027157], [-0.278321, -0.428534, 0.321725, -0.25733, 0.600031, -0.572832, -0.071953, 0.60615], [0.543175, 0.409147, -0.407855, 0.123, -0.253477, 0.402503, -0.122031, -0.351888], [-0.704103, -0.639764, 0.002213, -0.445907, 0.033872, -0.656225, -0.025036, 0.573555], [-0.516114, -0.584039, 0.352485, -0.524317, 0.37573, -0.021664, -0.250651, 0.411624], [-0.718094, -0.335196, 0.096314, -0.286775, 0.360974, -0.241423, -0.560765, 0.650454], [0.194702, -0.079288, 0.080522, 0.394157, -0.059326, 0.529773, 0.464799, -0.196657], [-0.154982, -0.048602, 0.099713, 0.080078, 0.236612, -0.575577, -0.42051, 0.198818]], "network.8.bias": [-0.140285, 0.350521, -0.085664, 0.069534, -0.004375, 0.349632, -0.047049, 0.116944], "network.10.weight": [[0.394914, -0.101929, 0.521313, -0.061148, -0.28819, -0.417713, 0.154145, 0.044852], [-0.140092, 0.623902, -0.099137, 0.376494, 0.223508, 0.306017, -0.611546, 0.496557], [0.182824, -0.032576, 0.537751, -0.361041, -0.061103, -0.18669, -0.04347, -0.314811], [0.089406, 0.09464, -0.193742, 0.109025, -0.019783, 0.126685, -0.370913, 0.11395], [0.087954, -0.099232, -0.217411, -0.133345, -0.062403, -0.20914, 0.04781, 0.061394], [-0.300825, -0.351691, -0.144956, -0.109831, -0.184848, -0.257526, -0.025622, -0.03556], [0.184115, -0.392288, 0.448931, -0.270524, -0.15832, -0.055344, 0.427166, -0.231324], [-0.550645, 0.432531, -0.259997, 0.361289, 0.390307, 0.722415, -0.629028, 0.007753]], "network.10.bias": [0.149746, -0.101342, -0.285514, -0.356759, 0.051658, 0.072972, 0.224206, 0.353208], "network.12.weight": [[0.303232, -0.330638, 0.432941, -0.006063, 0.137045, 0.350202, 0.31379, -0.512455]], "network.12.bias": [-0.030694]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7063670456409454, "train_acc": 0.45, "val_loss": 0.6989248394966125, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6911411285400391, "train_acc": 0.56, "val_loss": 0.6818793416023254, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6840151250362396, "train_acc": 0.55, "val_loss": 0.6624796986579895, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.665762335062027, "train_acc": 0.545, "val_loss": 0.6202239394187927, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5145665854215622, "train_acc": 0.78, "val_loss": 0.6980215311050415, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.42175740003585815, "train_acc": 0.82, "val_loss": 0.5984423756599426, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3983381539583206, "train_acc": 0.795, "val_loss": 0.5290976166725159, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.34519049525260925, "train_acc": 0.85, "val_loss": 0.49157166481018066, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3136133402585983, "train_acc": 0.855, "val_loss": 0.4397672414779663, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.301464706659317, "train_acc": 0.865, "val_loss": 0.4085734188556671, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2964646816253662, "train_acc": 0.875, "val_loss": 0.4010418653488159, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2747582420706749, "train_acc": 0.905, "val_loss": 0.37836745381355286, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2518444210290909, "train_acc": 0.905, "val_loss": 0.39114829897880554, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6989248394966125, "final_val_loss": 0.6624796986579895, "initial_val_acc": 0.38, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.6202239394187927, "final_val_loss": 0.39114829897880554, "initial_val_acc": 0.76, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
290
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.64, "improved_accuracy": 0.88, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7275, "learning_rate": 0.036801495554017856, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[13.365015, 13.456379, 13.783806, 13.875092, 14.508185, 15.632151, 16.079739, 17.950102, 19.640923, 31.660046], [20.781848, 21.723823, 22.688371, 24.489891, 28.152545, 28.702266, 28.786407, 29.302244, 32.843567, 272.964120], [11.457796, 12.228450, 12.823713, 12.844365, 13.823024, 14.048729, 14.220392, 17.713879, 18.158342, 149.377319], [14.337384, 14.443052, 15.275220, 16.327226, 16.540311, 16.599773, 16.841116, 17.206075, 18.259239, 21.728638], [13.681172, 13.710422, 14.674756, 15.361339, 15.833370, 15.955108, 16.905648, 17.333344, 17.890183, 18.377147], [19.033831, 19.038232, 19.293684, 21.342729, 22.588721, 24.888857, 26.780614, 31.308990, 35.321735, 86.703348], [26.834514, 28.106932, 28.617409, 29.247870, 29.347912, 29.563711, 30.980277, 36.555441, 42.717700, 258.899453], [20.809408, 22.178250, 22.187553, 23.315173, 23.695569, 24.343520, 24.954803, 25.139787, 26.403876, 27.833701]]
### 2
fourier: [[13.073919, 13.774030, 13.914818, 16.751614, 17.335005, 18.201592, 18.349299, 21.467672, 21.632668, 104.012274], [13.624593, 14.593623, 14.602952, 15.388046, 15.990867, 17.474565, 18.821425, 20.325732, 22.249658, 68.741037], [9.262454, 9.374775, 9.686690, 11.091930, 11.552563, 12.127207, 12.954347, 13.072877, 14.569656, 110.819186], [7.194520, 7.494589, 8.139487, 8.148302, 8.979346, 10.757261, 10.782030, 11.295984, 11.305054, 56.478586], [6.531450, 6.919443, 6.996551, 7.572183, 7.759427, 7.946099, 8.080238, 9.781171, 11.448601, 12.060833], [7.221661, 7.847529, 8.101256, 8.359649, 9.829310, 10.192205, 10.962634, 11.404090, 11.921516, 52.069004], [9.886427, 10.984113, 11.772221, 12.038602, 12.447044, 12.999767, 13.541211, 13.574264, 13.637707, 37.151469], [10.184048, 10.448600, 10.865091, 10.947538, 12.671476, 13.018944, 13.097451, 13.500792, 15.955700, 18.829996]]
### 4
fourier: [[7.144971, 7.421359, 7.457844, 7.473677, 7.574946, 7.893999, 7.897128, 7.907670, 8.100888, 41.321228], [2.492671, 2.625657, 2.919639, 3.190520, 3.353227, 3.637112, 3.722256, 3.778908, 3.951673, 26.458327], [6.672201, 7.464993, 7.644711, 7.699283, 8.140156, 8.379965, 8.689376, 8.888549, 9.479476, 11.650435], [7.593020, 7.988326, 8.022830, 8.119262, 8.242890, 8.251283, 8.517689, 8.756297, 9.831119, 11.095547], [6.463888, 6.574560, 6.663271, 7.223807, 7.465519, 7.491078, 7.729365, 7.781593, 7.857136, 9.573119], [2.857053, 2.888915, 3.078110, 3.078115, 3.683179, 3.887262, 3.961832, 4.372573, 4.438896, 66.014689], [5.220475, 5.599434, 5.955295, 6.284566, 6.288911, 6.543232, 7.052276, 7.076593, 8.049490, 9.719681], [14.804309, 15.253072, 16.835246, 17.303543, 17.471161, 19.798014, 20.470122, 21.255777, 24.451772, 112.070942]]
### 6
fourier: [[1.758764, 1.804561, 1.817338, 1.893662, 1.964919, 2.058596, 2.106905, 2.351972, 3.288297, 21.751204], [8.258643, 8.624446, 9.072316, 9.783650, 9.862092, 9.913623, 10.904550, 10.970283, 11.628564, 12.055698], [6.564611, 6.846579, 7.053477, 7.217153, 7.241077, 7.692139, 7.733183, 8.989877, 9.545051, 15.644822], [5.375699, 5.414884, 5.498135, 5.806149, 6.017913, 6.061081, 6.466725, 6.535908, 7.725636, 16.025901], [9.673756, 9.732489, 9.807557, 10.474849, 10.523983, 10.958802, 11.392168, 12.210132, 13.947220, 26.679055], [6.025963, 6.815754, 7.026165, 7.161318, 7.249145, 7.363398, 7.921437, 8.413080, 8.954211, 9.151657], [6.133190, 6.514338, 6.547967, 6.946134, 7.333414, 8.024756, 8.849478, 9.085372, 9.298208, 13.910682], [12.502073, 12.684723, 13.911268, 14.757443, 15.278734, 15.885286, 17.039548, 17.694736, 20.051938, 66.598706]]
### 8
fourier: [[11.593982, 11.772465, 12.495752, 13.216306, 13.580491, 13.606526, 13.702854, 14.618382, 15.566919, 17.561129], [9.637999, 9.660118, 10.878364, 11.441734, 11.480102, 11.621144, 12.439423, 12.784429, 13.826210, 13.858101], [5.030862, 5.520193, 5.634112, 5.839205, 5.997828, 6.212681, 6.237957, 6.278725, 6.739919, 16.410530], [11.407667, 11.486338, 11.533682, 12.083400, 12.553044, 13.110698, 13.338749, 13.547575, 13.938222, 15.524780], [9.689599, 9.817314, 10.642212, 11.073466, 11.149153, 11.511140, 11.630392, 12.214649, 13.051146, 25.138423], [20.742887, 21.422419, 23.342603, 23.995746, 24.114153, 24.624963, 25.400132, 27.774990, 28.357842, 55.845237], [1.456137, 1.521646, 1.697892, 1.785968, 2.016919, 2.073270, 2.247660, 2.262886, 2.347091, 13.637193], [10.481881, 10.750689, 11.136626, 11.456151, 11.998025, 12.460799, 12.642729, 12.688337, 14.209172, 18.901199]]
### 10
fourier: [[20.835022, 22.151739, 23.906924, 24.647566, 25.358433, 25.586650, 26.074819, 27.022293, 28.105670, 36.900626]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[13.365015, 13.456379, 13.783806, 13.875092, 14.508185, 15.632151, 16.079739, 17.950102, 19.640923, 31.660046], [20.781848, 21.723823, 22.688371, 24.489891, 28.152545, 28.702266, 28.786407, 29.302244, 32.843567, 272.964120], [11.457796, 12.228450, 12.823713, 12.844365, 13.823024, 14.048729, 14.220392, 17.713879, 18.158342, 149.377319], [14.337384, 14.443052, 15.275220, 16.327226, 16.540311, 16.599773, 16.841116, 17.206075, 18.259239, 21.728638], [13.681172, 13.710422, 14.674756, 15.361339, 15.833370, 15.955108, 16.905648, 17.333344, 17.890183, 18.377147], [19.033831, 19.038232, 19.293684, 21.342729, 22.588721, 24.888857, 26.780614, 31.308990, 35.321735, 86.703348], [26.834514, 28.106932, 28.617409, 29.247870, 29.347912, 29.563711, 30.980277, 36.555441, 42.717700, 258.899453], [20.809408, 22.178250, 22.187553, 23.315173, 23.695569, 24.343520, 24.954803, 25.139787, 26.403876, 27.833701]]
### 2
fourier: [[13.073919, 13.774030, 13.914818, 16.751614, 17.335005, 18.201592, 18.349299, 21.467672, 21.632668, 104.012274], [13.624593, 14.593623, 14.602952, 15.388046, 15.990867, 17.474565, 18.821425, 20.325732, 22.249658, 68.741037], [9.262454, 9.374775, 9.686690, 11.091930, 11.552563, 12.127207, 12.954347, 13.072877, 14.569656, 110.819186], [7.194520, 7.494589, 8.139487, 8.148302, 8.979346, 10.757261, 10.782030, 11.295984, 11.305054, 56.478586], [6.531450, 6.919443, 6.996551, 7.572183, 7.759427, 7.946099, 8.080238, 9.781171, 11.448601, 12.060833], [7.221661, 7.847529, 8.101256, 8.359649, 9.829310, 10.192205, 10.962634, 11.404090, 11.921516, 52.069004], [9.886427, 10.984113, 11.772221, 12.038602, 12.447044, 12.999767, 13.541211, 13.574264, 13.637707, 37.151469], [10.184048, 10.448600, 10.865091, 10.947538, 12.671476, 13.018944, 13.097451, 13.500792, 15.955700, 18.829996]]
### 4
fourier: [[7.144971, 7.421359, 7.457844, 7.473677, 7.574946, 7.893999, 7.897128, 7.907670, 8.100888, 41.321228], [2.492671, 2.625657, 2.919639, 3.190520, 3.353227, 3.637112, 3.722256, 3.778908, 3.951673, 26.458327], [6.672201, 7.464993, 7.644711, 7.699283, 8.140156, 8.379965, 8.689376, 8.888549, 9.479476, 11.650435], [7.593020, 7.988326, 8.022830, 8.119262, 8.242890, 8.251283, 8.517689, 8.756297, 9.831119, 11.095547], [6.463888, 6.574560, 6.663271, 7.223807, 7.465519, 7.491078, 7.729365, 7.781593, 7.857136, 9.573119], [2.857053, 2.888915, 3.078110, 3.078115, 3.683179, 3.887262, 3.961832, 4.372573, 4.438896, 66.014689], [5.220475, 5.599434, 5.955295, 6.284566, 6.288911, 6.543232, 7.052276, 7.076593, 8.049490, 9.719681], [14.804309, 15.253072, 16.835246, 17.303543, 17.471161, 19.798014, 20.470122, 21.255777, 24.451772, 112.070942]]
### 6
fourier: [[1.758764, 1.804561, 1.817338, 1.893662, 1.964919, 2.058596, 2.106905, 2.351972, 3.288297, 21.751204], [8.258643, 8.624446, 9.072316, 9.783650, 9.862092, 9.913623, 10.904550, 10.970283, 11.628564, 12.055698], [6.564611, 6.846579, 7.053477, 7.217153, 7.241077, 7.692139, 7.733183, 8.989877, 9.545051, 15.644822], [5.375699, 5.414884, 5.498135, 5.806149, 6.017913, 6.061081, 6.466725, 6.535908, 7.725636, 16.025901], [9.673756, 9.732489, 9.807557, 10.474849, 10.523983, 10.958802, 11.392168, 12.210132, 13.947220, 26.679055], [6.025963, 6.815754, 7.026165, 7.161318, 7.249145, 7.363398, 7.921437, 8.413080, 8.954211, 9.151657], [6.133190, 6.514338, 6.547967, 6.946134, 7.333414, 8.024756, 8.849478, 9.085372, 9.298208, 13.910682], [12.502073, 12.684723, 13.911268, 14.757443, 15.278734, 15.885286, 17.039548, 17.694736, 20.051938, 66.598706]]
### 8
fourier: [[11.593982, 11.772465, 12.495752, 13.216306, 13.580491, 13.606526, 13.702854, 14.618382, 15.566919, 17.561129], [9.637999, 9.660118, 10.878364, 11.441734, 11.480102, 11.621144, 12.439423, 12.784429, 13.826210, 13.858101], [5.030862, 5.520193, 5.634112, 5.839205, 5.997828, 6.212681, 6.237957, 6.278725, 6.739919, 16.410530], [11.407667, 11.486338, 11.533682, 12.083400, 12.553044, 13.110698, 13.338749, 13.547575, 13.938222, 15.524780], [9.689599, 9.817314, 10.642212, 11.073466, 11.149153, 11.511140, 11.630392, 12.214649, 13.051146, 25.138423], [20.742887, 21.422419, 23.342603, 23.995746, 24.114153, 24.624963, 25.400132, 27.774990, 28.357842, 55.845237], [1.456137, 1.521646, 1.697892, 1.785968, 2.016919, 2.073270, 2.247660, 2.262886, 2.347091, 13.637193], [10.481881, 10.750689, 11.136626, 11.456151, 11.998025, 12.460799, 12.642729, 12.688337, 14.209172, 18.901199]]
### 10
fourier: [[20.835022, 22.151739, 23.906924, 24.647566, 25.358433, 25.586650, 26.074819, 27.022293, 28.105670, 36.900626]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6761584877967834, "train_acc": 0.59, "val_loss": 0.7541961073875427, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6708219349384308, "train_acc": 0.59, "val_loss": 0.7547332048416138, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6516290903091431, "train_acc": 0.59, "val_loss": 0.7243553996086121, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6081135869026184, "train_acc": 0.66, "val_loss": 0.6531519889831543, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6094070374965668, "train_acc": 0.645, "val_loss": 0.5435743927955627, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5284097790718079, "train_acc": 0.715, "val_loss": 0.5556431412696838, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5129792988300323, "train_acc": 0.725, "val_loss": 0.48918887972831726, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4663431644439697, "train_acc": 0.765, "val_loss": 0.4229806661605835, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3927329331636429, "train_acc": 0.795, "val_loss": 0.35302090644836426, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.40895111858844757, "train_acc": 0.805, "val_loss": 0.33251094818115234, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.39597105979919434, "train_acc": 0.83, "val_loss": 0.37769073247909546, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.42430318892002106, "train_acc": 0.81, "val_loss": 0.4281952381134033, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.37358230352401733, "train_acc": 0.825, "val_loss": 0.333077996969223, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7541961073875427, "final_val_loss": 0.6531519889831543, "initial_val_acc": 0.42, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.5435743927955627, "final_val_loss": 0.333077996969223, "initial_val_acc": 0.68, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.24, "first_improvement_epoch": 3}}
|
291
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.9, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9904, "learning_rate": 0.029931796433528557, "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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}
## Activation Signature
### 0
fourier: [[17.049899, 17.052403, 17.175999, 17.784838, 18.883900, 19.245557, 19.569890, 20.387427, 28.722595, 29.921071], [19.903471, 21.214969, 21.412751, 21.769139, 21.826602, 23.510061, 25.184252, 28.197366, 29.694233, 233.911782], [19.957051, 21.299211, 21.527312, 21.854193, 24.882883, 26.151829, 26.758925, 27.056203, 31.943714, 108.774818], [14.630714, 14.673876, 14.771881, 14.962385, 17.079635, 20.217853, 21.159145, 21.362417, 24.175787, 34.920817], [21.726799, 22.238290, 24.250670, 28.014481, 28.391196, 29.277502, 31.360374, 37.548981, 43.611874, 141.387470], [29.378333, 30.537436, 30.956810, 35.540264, 36.053821, 37.399741, 37.874805, 38.468243, 42.913588, 171.206196]]
### 2
fourier: [[24.632618, 25.419097, 26.317443, 29.489074, 34.976532, 35.702509, 36.183858, 38.243873, 38.708949, 229.405965], [25.311844, 27.508165, 27.695177, 27.728090, 29.099314, 32.053548, 35.615558, 38.599333, 42.889468, 94.779061], [16.952856, 17.205363, 20.436396, 21.360829, 21.367245, 21.767666, 22.832156, 23.661347, 29.896056, 144.846767], [24.594001, 24.665149, 24.957168, 25.136734, 26.054729, 30.731261, 33.501115, 35.363035, 45.284844, 104.728945], [34.956522, 36.037456, 36.042312, 38.464203, 43.140727, 46.499467, 47.350262, 49.740456, 50.441139, 283.496758], [49.479121, 49.543726, 50.323157, 51.443308, 56.655914, 64.088312, 66.332597, 66.995729, 67.352707, 413.692457]]
### 4
fourier: [[3.785589, 4.024249, 4.109030, 4.265665, 4.294758, 4.370454, 4.776552, 5.334936, 5.495947, 19.773168], [64.520120, 68.505063, 69.633424, 71.380410, 81.464413, 85.286588, 87.419181, 91.039346, 91.990074, 510.265813], [17.660311, 18.526255, 18.541841, 18.596764, 19.951009, 20.146883, 21.319629, 21.580621, 22.655653, 46.890637], [67.986968, 74.481984, 75.950496, 77.755586, 85.725151, 88.457524, 89.967315, 94.710629, 101.013160, 582.592728], [40.392326, 41.641642, 42.695736, 47.065404, 53.980559, 54.150771, 55.570650, 57.680827, 61.196505, 296.017310], [60.808818, 65.144465, 65.789057, 66.482793, 73.643656, 79.429234, 81.335693, 84.858306, 86.198254, 442.015486]]
### 6
fourier: [[86.335774, 93.460334, 96.950419, 97.612703, 108.603334, 111.108379, 115.371704, 122.835406, 123.343406, 615.738098], [87.686107, 96.989309, 98.364612, 99.706206, 110.439048, 112.661169, 114.288088, 123.542361, 127.837514, 700.947880], [99.425498, 110.573263, 111.707648, 112.630545, 125.776284, 129.825891, 131.673812, 141.611666, 146.067378, 791.610667], [7.856063, 8.122599, 9.061631, 9.247214, 10.046990, 11.752026, 13.117018, 13.902791, 14.860939, 86.062023], [127.666138, 138.540625, 139.076148, 140.412812, 160.159223, 166.131648, 170.327156, 180.870128, 184.035822, 958.746714], [127.562627, 138.176359, 140.058528, 141.694617, 160.267142, 165.488144, 170.704891, 181.419568, 183.027189, 986.006705]]
### 8
fourier: [[222.308106, 244.902100, 244.998475, 248.041069, 279.333109, 287.023076, 295.837829, 317.118134, 323.627172, 1718.510082], [159.177261, 176.087871, 177.381178, 178.514843, 200.324005, 205.252080, 210.804884, 227.359196, 232.057983, 1183.865162], [177.738324, 192.031446, 194.662285, 195.895846, 222.116874, 227.978073, 235.367017, 252.029841, 256.985033, 1394.931260], [114.595343, 126.568640, 127.638895, 127.831240, 143.654442, 146.715174, 150.564253, 162.903741, 167.741039, 888.096552], [129.805412, 142.574766, 143.070148, 144.355311, 162.880409, 166.811201, 171.742250, 184.575635, 188.717328, 976.083472], [103.489545, 114.815014, 115.297974, 115.719593, 130.314852, 133.616805, 136.670130, 147.407467, 151.478804, 785.636613]]
### 10
fourier: [[195.362937, 214.820148, 218.911413, 219.197958, 246.123196, 253.500587, 260.543159, 280.070024, 284.292011, 1527.228622]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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:
{
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## Activation Signature
### 0
fourier: [[17.049899, 17.052403, 17.175999, 17.784838, 18.883900, 19.245557, 19.569890, 20.387427, 28.722595, 29.921071], [19.903471, 21.214969, 21.412751, 21.769139, 21.826602, 23.510061, 25.184252, 28.197366, 29.694233, 233.911782], [19.957051, 21.299211, 21.527312, 21.854193, 24.882883, 26.151829, 26.758925, 27.056203, 31.943714, 108.774818], [14.630714, 14.673876, 14.771881, 14.962385, 17.079635, 20.217853, 21.159145, 21.362417, 24.175787, 34.920817], [21.726799, 22.238290, 24.250670, 28.014481, 28.391196, 29.277502, 31.360374, 37.548981, 43.611874, 141.387470], [29.378333, 30.537436, 30.956810, 35.540264, 36.053821, 37.399741, 37.874805, 38.468243, 42.913588, 171.206196]]
### 2
fourier: [[24.632618, 25.419097, 26.317443, 29.489074, 34.976532, 35.702509, 36.183858, 38.243873, 38.708949, 229.405965], [25.311844, 27.508165, 27.695177, 27.728090, 29.099314, 32.053548, 35.615558, 38.599333, 42.889468, 94.779061], [16.952856, 17.205363, 20.436396, 21.360829, 21.367245, 21.767666, 22.832156, 23.661347, 29.896056, 144.846767], [24.594001, 24.665149, 24.957168, 25.136734, 26.054729, 30.731261, 33.501115, 35.363035, 45.284844, 104.728945], [34.956522, 36.037456, 36.042312, 38.464203, 43.140727, 46.499467, 47.350262, 49.740456, 50.441139, 283.496758], [49.479121, 49.543726, 50.323157, 51.443308, 56.655914, 64.088312, 66.332597, 66.995729, 67.352707, 413.692457]]
### 4
fourier: [[3.785589, 4.024249, 4.109030, 4.265665, 4.294758, 4.370454, 4.776552, 5.334936, 5.495947, 19.773168], [64.520120, 68.505063, 69.633424, 71.380410, 81.464413, 85.286588, 87.419181, 91.039346, 91.990074, 510.265813], [17.660311, 18.526255, 18.541841, 18.596764, 19.951009, 20.146883, 21.319629, 21.580621, 22.655653, 46.890637], [67.986968, 74.481984, 75.950496, 77.755586, 85.725151, 88.457524, 89.967315, 94.710629, 101.013160, 582.592728], [40.392326, 41.641642, 42.695736, 47.065404, 53.980559, 54.150771, 55.570650, 57.680827, 61.196505, 296.017310], [60.808818, 65.144465, 65.789057, 66.482793, 73.643656, 79.429234, 81.335693, 84.858306, 86.198254, 442.015486]]
### 6
fourier: [[86.335774, 93.460334, 96.950419, 97.612703, 108.603334, 111.108379, 115.371704, 122.835406, 123.343406, 615.738098], [87.686107, 96.989309, 98.364612, 99.706206, 110.439048, 112.661169, 114.288088, 123.542361, 127.837514, 700.947880], [99.425498, 110.573263, 111.707648, 112.630545, 125.776284, 129.825891, 131.673812, 141.611666, 146.067378, 791.610667], [7.856063, 8.122599, 9.061631, 9.247214, 10.046990, 11.752026, 13.117018, 13.902791, 14.860939, 86.062023], [127.666138, 138.540625, 139.076148, 140.412812, 160.159223, 166.131648, 170.327156, 180.870128, 184.035822, 958.746714], [127.562627, 138.176359, 140.058528, 141.694617, 160.267142, 165.488144, 170.704891, 181.419568, 183.027189, 986.006705]]
### 8
fourier: [[222.308106, 244.902100, 244.998475, 248.041069, 279.333109, 287.023076, 295.837829, 317.118134, 323.627172, 1718.510082], [159.177261, 176.087871, 177.381178, 178.514843, 200.324005, 205.252080, 210.804884, 227.359196, 232.057983, 1183.865162], [177.738324, 192.031446, 194.662285, 195.895846, 222.116874, 227.978073, 235.367017, 252.029841, 256.985033, 1394.931260], [114.595343, 126.568640, 127.638895, 127.831240, 143.654442, 146.715174, 150.564253, 162.903741, 167.741039, 888.096552], [129.805412, 142.574766, 143.070148, 144.355311, 162.880409, 166.811201, 171.742250, 184.575635, 188.717328, 976.083472], [103.489545, 114.815014, 115.297974, 115.719593, 130.314852, 133.616805, 136.670130, 147.407467, 151.478804, 785.636613]]
### 10
fourier: [[195.362937, 214.820148, 218.911413, 219.197958, 246.123196, 253.500587, 260.543159, 280.070024, 284.292011, 1527.228622]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.108534, 0.223513, 0.260338, -0.492421, 0.324381], [-0.101866, 0.700668, 0.220152, 0.050982, 0.308015], [0.411623, 0.232649, 0.371403, -0.144306, -0.493196], [-0.396835, -0.044369, 0.199851, 0.169192, -0.401799], [0.308866, 0.570891, -0.169669, 0.422616, -0.494302], [0.625399, 0.742206, 0.121994, 0.023588, -0.420204]], "network.0.bias": [-0.111134, 0.499926, 0.414339, -0.098057, 0.204097, -0.015613], "network.2.weight": [[0.206928, -0.033115, 0.319482, 0.668052, 0.662527, 0.271295], [-0.007703, 0.365978, -0.49466, -0.168277, -0.603342, -0.422474], [-0.233001, 0.020291, 0.709749, 0.688926, -0.003179, 0.238463], [0.117882, 0.470221, -0.35829, -0.591333, -0.682577, -0.422825], [0.346076, 0.193535, 0.130241, 0.519139, 0.350357, 0.771004], [0.3752, 0.334868, 0.757756, 0.432752, 0.519604, 0.707961]], "network.2.bias": [0.340175, 0.523468, 0.206642, 0.094348, 0.105197, 0.206975], "network.4.weight": [[-0.313822, 0.205314, -0.132255, -0.095559, 0.453424, -0.059174], [0.524196, -0.243255, 0.035134, -0.308454, 0.532102, 0.612052], [-0.51776, 0.596988, 0.00321, 0.573957, 0.053237, 0.022643], [0.44131, -0.504218, 0.647076, -0.446324, 0.338314, 0.631108], [0.694275, -0.334843, -0.356144, 0.051829, 0.442284, 0.255977], [0.150345, -0.348425, 0.213316, -0.231691, 0.577887, 0.629012]], "network.4.bias": [0.043985, 0.00279, 0.221026, 0.676727, -0.360112, -0.310828], "network.6.weight": [[-0.421493, -0.49538, 0.481433, -0.257702, -0.592102, -0.165011], [-0.172999, 0.433555, -0.411279, 0.630759, 0.261417, 0.072448], [-0.009874, 0.767052, -0.280715, 0.699481, 0.078276, -0.026626], [0.323323, -0.294079, -0.269892, 0.222561, -0.468772, 0.22006], [-0.189571, 0.478266, -0.007845, 0.595883, 0.416329, 0.647795], [-0.07719, 0.709539, -0.236768, 0.352607, 0.481229, 0.615362]], "network.6.bias": [0.332163, 0.181027, -0.104157, -0.256506, -0.417895, 0.131485], "network.8.weight": [[-0.486272, 0.443807, 0.342261, 0.133068, 0.543219, 0.628803], [0.503177, -0.493125, -0.475437, -0.72628, -0.072902, -0.462745], [0.109199, 0.165704, 0.242065, 0.398097, 0.612874, 0.474226], [0.098081, -0.471582, -0.498765, -0.201096, -0.136098, -0.048091], [0.203295, -0.573481, 0.017232, -0.261924, -0.4254, -0.211817], [0.36012, -0.454711, -0.26773, -0.427889, -0.422497, 0.133097]], "network.8.bias": [-0.010763, 0.601382, 0.363751, 0.15953, 0.293576, 0.145955], "network.10.weight": [[-0.601739, 0.566405, -0.34457, 0.391013, 0.487852, 0.402488]], "network.10.bias": [-0.24692]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6867544949054718, "train_acc": 0.56, "val_loss": 0.6792111396789551, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6704778671264648, "train_acc": 0.56, "val_loss": 0.6343873143196106, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6260673999786377, "train_acc": 0.575, "val_loss": 0.5390395522117615, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.516893595457077, "train_acc": 0.825, "val_loss": 0.4027542173862457, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.37517455220222473, "train_acc": 0.85, "val_loss": 0.3672512173652649, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.34339118003845215, "train_acc": 0.85, "val_loss": 0.32005348801612854, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2905684560537338, "train_acc": 0.875, "val_loss": 0.28564727306365967, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3480575680732727, "train_acc": 0.875, "val_loss": 0.3579210638999939, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.31136152148246765, "train_acc": 0.875, "val_loss": 0.2731356918811798, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2900318503379822, "train_acc": 0.88, "val_loss": 0.27313387393951416, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.30056801438331604, "train_acc": 0.875, "val_loss": 0.30789119005203247, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3086678236722946, "train_acc": 0.875, "val_loss": 0.29530882835388184, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6792111396789551, "final_val_loss": 0.6343873143196106, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5390395522117615, "final_val_loss": 0.29530882835388184, "initial_val_acc": 0.78, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
292
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6013, "learning_rate": 0.04755308330564476, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[20.451893, 21.842986, 21.928579, 22.678034, 23.312878, 23.554141, 24.747098, 28.634225, 30.224951, 34.936518], [18.067183, 19.026307, 19.056808, 19.244736, 21.493863, 22.880904, 25.597676, 27.840594, 28.688452, 212.598915], [38.464619, 39.580159, 40.680606, 41.232220, 42.012857, 43.217770, 47.158411, 50.354411, 52.680253, 172.767809], [26.479022, 26.791961, 29.050170, 30.827078, 33.311117, 35.723629, 36.133337, 39.657801, 42.625217, 51.052752], [22.799645, 23.606120, 24.421944, 25.818715, 30.208182, 31.528127, 34.557939, 42.746377, 42.855797, 73.006420], [28.580568, 30.532039, 31.947319, 36.068449, 39.714611, 43.079004, 48.969739, 49.064545, 51.412684, 202.490250]]
### 2
fourier: [[33.585989, 35.273691, 36.670505, 41.135887, 47.759435, 48.893935, 51.920250, 62.355308, 63.812142, 148.422378], [23.121172, 24.311463, 25.412525, 26.018783, 26.733249, 27.943401, 28.708481, 36.362794, 43.203462, 55.439801], [11.025541, 11.894689, 12.192728, 13.851109, 16.521678, 18.932542, 20.138217, 21.940132, 22.957308, 117.365674], [22.905612, 23.625024, 23.738678, 23.851991, 24.964458, 28.717966, 32.845052, 35.720354, 41.794501, 71.844001], [30.649320, 31.050954, 31.927824, 32.073495, 32.500111, 32.601186, 33.057815, 33.803150, 33.851757, 37.884762], [17.825891, 18.716077, 22.105379, 24.534985, 25.777232, 27.871552, 30.765149, 33.297036, 35.906190, 55.483921]]
### 4
fourier: [[18.001937, 18.226772, 19.569954, 25.085097, 26.061640, 26.650776, 28.585636, 32.374000, 35.354889, 110.018512], [9.281938, 9.625149, 10.299302, 11.712939, 11.943576, 12.073697, 13.867821, 15.528868, 16.360789, 97.664330], [70.844095, 71.517120, 77.496509, 93.535649, 95.553534, 95.631721, 104.938322, 119.292247, 132.739881, 325.237785], [14.277875, 15.059349, 15.264474, 19.977562, 22.155628, 23.663750, 25.910631, 26.723298, 28.957723, 115.952689], [86.462192, 87.169781, 95.102297, 109.976349, 110.489303, 111.949032, 122.953149, 140.063168, 157.330406, 408.120171], [17.901533, 18.972457, 19.135816, 25.478746, 26.234857, 27.021432, 29.076213, 33.876141, 34.901204, 113.524986]]
### 6
fourier: [[112.378588, 115.811902, 125.704571, 149.683089, 151.095005, 151.131917, 166.157328, 186.195250, 212.585003, 529.876044], [14.926681, 15.671293, 16.969132, 21.268114, 21.343234, 21.484313, 23.398861, 25.852864, 29.644439, 119.549876], [124.279392, 127.932535, 138.885181, 164.727082, 166.491398, 166.496838, 183.084848, 205.358726, 234.387434, 586.394094], [16.667682, 16.944060, 18.435903, 20.883028, 21.370754, 21.423039, 23.554426, 26.722888, 30.370086, 114.102270], [118.606081, 121.847526, 132.322412, 155.829252, 157.804009, 157.859214, 173.586418, 195.040737, 222.475254, 573.304502], [111.069662, 113.956339, 123.779902, 145.088740, 147.111892, 147.200355, 161.862326, 182.075195, 207.600597, 506.429330]]
### 8
fourier: [[304.773571, 318.346103, 345.892861, 406.535847, 411.731918, 415.983830, 452.712650, 502.898717, 582.065075, 1491.376920], [300.961565, 314.410000, 341.628229, 401.883103, 406.922864, 411.070551, 447.396781, 496.893181, 575.135930, 1473.129409], [12.185800, 12.704601, 13.788335, 17.097037, 17.184234, 17.239813, 18.839764, 20.885716, 23.901894, 83.407406], [89.610525, 92.946862, 100.791365, 119.462150, 120.743517, 121.333018, 132.806703, 148.348321, 170.276555, 455.652348], [20.820994, 21.394973, 23.142845, 27.208825, 27.565599, 27.618802, 30.363841, 34.223014, 38.939941, 111.435331], [60.550564, 63.401329, 68.931814, 80.954790, 82.001910, 82.961757, 90.142473, 99.927147, 115.959268, 316.308673]]
### 10
fourier: [[14.175425, 14.842246, 16.136820, 18.902874, 19.160301, 19.395509, 21.065282, 23.357698, 27.112642, 84.256222], [24.656474, 25.810483, 28.060117, 32.835614, 33.292100, 33.705073, 36.605044, 40.600301, 47.122141, 140.991011], [290.241748, 304.041749, 330.601831, 388.132391, 393.184499, 397.903504, 432.202761, 478.943277, 556.061786, 1402.875643], [335.719426, 351.681808, 382.403604, 448.949051, 454.792629, 460.251013, 499.924648, 553.988773, 643.191027, 1635.179701], [61.428110, 64.362727, 69.989139, 82.249973, 83.298501, 84.288078, 91.557820, 101.431637, 117.775633, 268.551357], [173.349396, 181.589705, 197.452266, 231.801518, 234.821707, 237.641410, 258.125522, 286.044205, 332.100902, 892.586961]]
### 12
fourier: [[251.744200, 264.545174, 287.805663, 337.371150, 341.822156, 346.453972, 375.882167, 415.377700, 483.793741, 1190.620087]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 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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## Activation Signature
### 0
fourier: [[20.451893, 21.842986, 21.928579, 22.678034, 23.312878, 23.554141, 24.747098, 28.634225, 30.224951, 34.936518], [18.067183, 19.026307, 19.056808, 19.244736, 21.493863, 22.880904, 25.597676, 27.840594, 28.688452, 212.598915], [38.464619, 39.580159, 40.680606, 41.232220, 42.012857, 43.217770, 47.158411, 50.354411, 52.680253, 172.767809], [26.479022, 26.791961, 29.050170, 30.827078, 33.311117, 35.723629, 36.133337, 39.657801, 42.625217, 51.052752], [22.799645, 23.606120, 24.421944, 25.818715, 30.208182, 31.528127, 34.557939, 42.746377, 42.855797, 73.006420], [28.580568, 30.532039, 31.947319, 36.068449, 39.714611, 43.079004, 48.969739, 49.064545, 51.412684, 202.490250]]
### 2
fourier: [[33.585989, 35.273691, 36.670505, 41.135887, 47.759435, 48.893935, 51.920250, 62.355308, 63.812142, 148.422378], [23.121172, 24.311463, 25.412525, 26.018783, 26.733249, 27.943401, 28.708481, 36.362794, 43.203462, 55.439801], [11.025541, 11.894689, 12.192728, 13.851109, 16.521678, 18.932542, 20.138217, 21.940132, 22.957308, 117.365674], [22.905612, 23.625024, 23.738678, 23.851991, 24.964458, 28.717966, 32.845052, 35.720354, 41.794501, 71.844001], [30.649320, 31.050954, 31.927824, 32.073495, 32.500111, 32.601186, 33.057815, 33.803150, 33.851757, 37.884762], [17.825891, 18.716077, 22.105379, 24.534985, 25.777232, 27.871552, 30.765149, 33.297036, 35.906190, 55.483921]]
### 4
fourier: [[18.001937, 18.226772, 19.569954, 25.085097, 26.061640, 26.650776, 28.585636, 32.374000, 35.354889, 110.018512], [9.281938, 9.625149, 10.299302, 11.712939, 11.943576, 12.073697, 13.867821, 15.528868, 16.360789, 97.664330], [70.844095, 71.517120, 77.496509, 93.535649, 95.553534, 95.631721, 104.938322, 119.292247, 132.739881, 325.237785], [14.277875, 15.059349, 15.264474, 19.977562, 22.155628, 23.663750, 25.910631, 26.723298, 28.957723, 115.952689], [86.462192, 87.169781, 95.102297, 109.976349, 110.489303, 111.949032, 122.953149, 140.063168, 157.330406, 408.120171], [17.901533, 18.972457, 19.135816, 25.478746, 26.234857, 27.021432, 29.076213, 33.876141, 34.901204, 113.524986]]
### 6
fourier: [[112.378588, 115.811902, 125.704571, 149.683089, 151.095005, 151.131917, 166.157328, 186.195250, 212.585003, 529.876044], [14.926681, 15.671293, 16.969132, 21.268114, 21.343234, 21.484313, 23.398861, 25.852864, 29.644439, 119.549876], [124.279392, 127.932535, 138.885181, 164.727082, 166.491398, 166.496838, 183.084848, 205.358726, 234.387434, 586.394094], [16.667682, 16.944060, 18.435903, 20.883028, 21.370754, 21.423039, 23.554426, 26.722888, 30.370086, 114.102270], [118.606081, 121.847526, 132.322412, 155.829252, 157.804009, 157.859214, 173.586418, 195.040737, 222.475254, 573.304502], [111.069662, 113.956339, 123.779902, 145.088740, 147.111892, 147.200355, 161.862326, 182.075195, 207.600597, 506.429330]]
### 8
fourier: [[304.773571, 318.346103, 345.892861, 406.535847, 411.731918, 415.983830, 452.712650, 502.898717, 582.065075, 1491.376920], [300.961565, 314.410000, 341.628229, 401.883103, 406.922864, 411.070551, 447.396781, 496.893181, 575.135930, 1473.129409], [12.185800, 12.704601, 13.788335, 17.097037, 17.184234, 17.239813, 18.839764, 20.885716, 23.901894, 83.407406], [89.610525, 92.946862, 100.791365, 119.462150, 120.743517, 121.333018, 132.806703, 148.348321, 170.276555, 455.652348], [20.820994, 21.394973, 23.142845, 27.208825, 27.565599, 27.618802, 30.363841, 34.223014, 38.939941, 111.435331], [60.550564, 63.401329, 68.931814, 80.954790, 82.001910, 82.961757, 90.142473, 99.927147, 115.959268, 316.308673]]
### 10
fourier: [[14.175425, 14.842246, 16.136820, 18.902874, 19.160301, 19.395509, 21.065282, 23.357698, 27.112642, 84.256222], [24.656474, 25.810483, 28.060117, 32.835614, 33.292100, 33.705073, 36.605044, 40.600301, 47.122141, 140.991011], [290.241748, 304.041749, 330.601831, 388.132391, 393.184499, 397.903504, 432.202761, 478.943277, 556.061786, 1402.875643], [335.719426, 351.681808, 382.403604, 448.949051, 454.792629, 460.251013, 499.924648, 553.988773, 643.191027, 1635.179701], [61.428110, 64.362727, 69.989139, 82.249973, 83.298501, 84.288078, 91.557820, 101.431637, 117.775633, 268.551357], [173.349396, 181.589705, 197.452266, 231.801518, 234.821707, 237.641410, 258.125522, 286.044205, 332.100902, 892.586961]]
### 12
fourier: [[251.744200, 264.545174, 287.805663, 337.371150, 341.822156, 346.453972, 375.882167, 415.377700, 483.793741, 1190.620087]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[-0.186143, -0.248832, -0.132479, -0.035645, 0.928478], [-0.15014, -0.265452, -0.318821, -0.405815, -0.097024], [1.153094, 0.249161, 0.285317, 0.01452, -0.263663], [1.063099, -0.246525, -0.296204, -0.108509, -0.477846], [0.41477, -0.177977, 0.002389, -0.004234, 0.89911], [0.042064, 0.285845, -0.945258, 0.147077, -0.755885]], "network.0.bias": [-0.198603, -0.035764, -0.271295, -0.000225, -0.485475, -0.231711], "network.2.weight": [[1.073698, 0.088348, -0.078192, 0.883431, 0.904267, 0.518479], [0.85844, 0.094158, -0.099577, 0.246829, 0.54715, 0.128064], [-0.49741, 0.04745, -0.295693, -0.33992, 0.170306, 0.156326], [0.363358, -0.035132, -0.440971, 0.6873, 0.949919, 0.549024], [0.83487, -0.532245, -0.397871, -0.51885, 0.530514, 0.885758], [0.23461, -0.07463, 0.056206, 0.704417, 0.48467, -0.434956]], "network.2.bias": [-0.498711, -0.524773, -0.399074, -0.094847, -0.161575, -0.565143], "network.4.weight": [[-0.293938, -0.27589, -0.114327, -0.118585, 0.096705, -0.22987], [-0.137771, 0.099165, 0.233354, -0.069277, -0.202405, -0.148329], [0.946938, 0.714736, -0.109196, 0.557374, 0.291485, 0.80324], [-0.407802, 0.139395, -0.407466, -0.050747, 0.064003, -0.328879], [0.89844, 0.627408, 0.116289, 0.766616, 0.890838, 1.037206], [-0.456378, 0.004536, 0.232755, -0.320703, 0.222185, -0.104338]], "network.4.bias": [-0.145968, -0.546188, -0.408461, -0.335235, -0.22194, -0.140907], "network.6.weight": [[0.060938, 0.291221, 0.920109, 0.161435, 0.590005, -0.183403], [0.224813, -0.057975, -0.370254, 0.156207, 0.119721, -0.002738], [0.080383, 0.12459, 0.892931, -0.057864, 0.751987, -0.073242], [0.117299, 0.279191, 0.066562, -0.224316, -0.249597, 0.19094], [-0.077235, -0.194487, 0.639541, -0.048885, 0.887426, 0.101483], [0.108714, 0.48213, 0.469531, -0.232111, 0.934328, -0.116141]], "network.6.bias": [-0.350689, -0.4734, -0.370003, -0.36438, -0.178357, -0.491451], "network.8.weight": [[0.943123, 0.321048, 0.426364, 0.063928, 0.56952, 0.77161], [0.652115, -0.153026, 1.017289, -0.117871, 0.380095, 0.571689], [-0.242619, -0.189913, -0.308408, -0.042723, 0.094957, 0.379821], [-0.347329, 0.036533, -0.140377, 0.272725, -0.60115, 0.335371], [0.015532, 0.078832, 0.103712, -0.112064, -0.343714, 0.048088], [-0.032414, 0.355198, -0.35755, 0.088584, 0.056375, -0.188072]], "network.8.bias": [-0.196406, -0.197133, -0.232975, -0.106016, -0.090046, -0.185781], "network.10.weight": [[-0.146073, 0.100602, -0.000805, -0.403689, 0.285884, -0.31082], [-0.350867, 0.27301, -0.213547, -0.154343, -0.067563, 0.050254], [0.562986, 0.398974, 0.071572, -0.126719, 0.356758, -0.200142], [0.649883, 0.462822, -0.268552, 0.190814, 0.18158, 0.044417], [0.110859, -0.317384, -0.033737, 0.363251, 0.040049, 0.328376], [-0.367091, -0.207055, -0.083971, 0.013271, 0.121507, -0.102527]], "network.10.bias": [-0.157965, -0.213676, -0.364605, -0.282978, 0.393994, -0.390326], "network.12.weight": [[0.337516, -0.091412, -0.511535, -0.311234, 0.31623, 0.067634]], "network.12.bias": [0.470576]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910253763198853, "train_acc": 0.5, "val_loss": 0.6816564202308655, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6810327768325806, "train_acc": 0.56, "val_loss": 0.6779974102973938, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6832817196846008, "train_acc": 0.56, "val_loss": 0.6653518676757812, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6739293932914734, "train_acc": 0.56, "val_loss": 0.6285877823829651, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6753802001476288, "train_acc": 0.48, "val_loss": 0.5602168440818787, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5815437436103821, "train_acc": 0.48, "val_loss": 0.4986429512500763, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5128164887428284, "train_acc": 0.48, "val_loss": 0.47639715671539307, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.44414280354976654, "train_acc": 0.835, "val_loss": 0.47394225001335144, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4160182327032089, "train_acc": 0.865, "val_loss": 0.4671695828437805, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3956204056739807, "train_acc": 0.87, "val_loss": 0.4730794131755829, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3758070170879364, "train_acc": 0.875, "val_loss": 0.47801563143730164, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3751564025878906, "train_acc": 0.865, "val_loss": 0.4888336956501007, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6816564202308655, "final_val_loss": 0.6285877823829651, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5602168440818787, "final_val_loss": 0.4888336956501007, "initial_val_acc": 0.58, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 10}, "improvement": 0.20000000000000007, "first_improvement_epoch": 3}}
|
293
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3836, "learning_rate": 0.07135099672113321, "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.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[14.880028, 15.533451, 16.132133, 16.523556, 17.513653, 22.135987, 22.553223, 22.826489, 23.503440, 142.494810], [22.741084, 23.129818, 24.471984, 25.476631, 26.147864, 26.792938, 29.655053, 33.377859, 37.033224, 76.580077], [20.190013, 20.371371, 21.704318, 25.093323, 25.246725, 26.194221, 28.164898, 31.175262, 32.910039, 51.153095], [30.118747, 31.899040, 31.974531, 32.074305, 33.146715, 33.155950, 34.902100, 37.386662, 39.496053, 138.739280], [14.860319, 15.573725, 15.727909, 15.906877, 16.528383, 17.070051, 19.797630, 23.268080, 23.411726, 81.894861], [14.779816, 15.338071, 15.681006, 16.369507, 16.688067, 20.832734, 21.153887, 22.328875, 22.631275, 25.254852], [27.643931, 27.750003, 27.963394, 28.367893, 28.667505, 29.010179, 34.210860, 37.120838, 37.856242, 154.408354]]
### 2
fourier: [[11.594287, 11.650962, 12.210644, 12.438526, 13.194766, 13.738444, 14.075623, 14.676724, 16.757049, 19.108254], [27.036223, 27.810731, 28.356240, 29.870084, 30.147725, 32.018253, 33.368102, 37.111373, 39.335777, 71.721739], [9.582860, 9.607720, 10.816850, 11.050839, 11.600975, 12.011497, 12.741927, 14.074236, 15.319791, 45.630809], [43.412571, 47.956607, 50.125120, 51.050162, 51.236326, 53.509009, 53.544407, 57.709251, 59.509841, 242.287020], [7.011450, 7.211840, 8.009393, 8.067796, 8.261528, 8.455241, 8.543395, 8.613447, 11.610052, 22.526125], [11.306339, 11.565911, 11.764227, 11.939362, 13.395530, 13.681814, 14.065899, 14.584392, 19.506149, 31.731397], [5.838678, 6.003691, 6.554076, 6.590557, 7.012479, 7.019968, 7.455806, 8.128670, 10.923208, 18.876236]]
### 4
fourier: [[52.839345, 56.029797, 57.659511, 60.325326, 60.939872, 62.026003, 66.303083, 72.370686, 72.414831, 227.116999], [14.932427, 14.992600, 16.490153, 16.595481, 16.786551, 17.979549, 18.359590, 20.552066, 21.294155, 74.041700], [36.359195, 36.450447, 38.345792, 40.027869, 40.919151, 41.173091, 43.395096, 49.124035, 50.078999, 178.837068], [36.304354, 39.495727, 41.505872, 42.191721, 42.350347, 44.009140, 45.777465, 48.206959, 50.473027, 128.513093], [10.839012, 10.869650, 11.136018, 11.609996, 11.717128, 11.879976, 12.835858, 15.210289, 15.455686, 37.934299], [53.662935, 57.524029, 58.617547, 59.101467, 59.820338, 60.470175, 65.345127, 73.321498, 73.869854, 163.772878], [33.819774, 35.669968, 37.711878, 38.205324, 39.346910, 40.367343, 41.330601, 46.109891, 46.260848, 137.576675]]
### 6
fourier: [[13.185135, 13.428059, 13.946029, 14.562715, 14.624965, 15.131034, 16.449875, 17.841610, 18.863543, 64.642344], [10.370724, 11.527746, 12.064716, 12.088063, 12.139370, 12.367939, 13.189410, 16.963367, 19.146935, 23.786923], [18.614560, 19.774466, 19.975793, 20.174633, 20.626392, 21.664884, 21.990717, 22.284196, 27.891272, 28.534371], [50.937218, 53.154200, 55.307144, 55.779562, 58.320320, 58.583076, 62.041920, 69.101765, 70.413888, 177.708904], [6.718922, 6.932052, 7.248357, 7.543846, 8.446463, 9.262142, 9.445335, 10.086393, 12.546863, 77.094915], [73.659239, 78.027594, 79.923153, 82.554657, 84.295905, 87.400903, 91.859952, 98.051594, 101.350015, 266.973360], [52.183668, 56.877197, 57.759730, 59.691389, 60.228526, 63.220760, 66.484431, 69.586335, 71.487194, 175.247658]]
### 8
fourier: [[84.918453, 92.347873, 92.558792, 98.870820, 100.062654, 106.232598, 111.460757, 114.233536, 117.673284, 302.116827], [79.883176, 86.281708, 86.791193, 92.994541, 93.588606, 99.478065, 104.294077, 107.808477, 111.228504, 308.170801], [5.361187, 5.705882, 5.849098, 6.167857, 6.380977, 6.760443, 6.935732, 7.030878, 9.152769, 111.732935], [62.668734, 66.390921, 66.906422, 70.436046, 70.663707, 73.186011, 78.484153, 86.878520, 88.185905, 202.848432], [60.332750, 64.293184, 65.348059, 67.807970, 67.857230, 69.305913, 75.220103, 84.277051, 84.707737, 141.808662], [50.271621, 53.413706, 54.505253, 56.267362, 56.272916, 57.873137, 62.663895, 70.857468, 71.144239, 121.039063], [65.435297, 71.629734, 73.528030, 80.084700, 80.468626, 83.851587, 86.947795, 93.180098, 93.606241, 325.799206]]
### 10
fourier: [[3.642671, 3.699966, 4.013372, 4.033244, 4.445243, 5.084067, 5.240911, 5.473959, 7.062786, 42.237572], [36.999293, 37.543564, 38.621212, 39.224237, 39.265359, 39.508842, 40.538450, 43.701499, 53.505573, 53.940694], [9.856748, 10.096152, 10.451424, 11.242008, 11.477511, 12.797930, 14.652594, 16.071653, 17.171219, 53.655913], [75.553740, 81.390744, 81.584308, 87.890768, 88.483155, 94.454356, 98.687242, 101.466601, 105.475745, 260.121228], [110.413355, 119.389401, 121.114090, 130.213590, 135.010411, 143.770107, 144.812574, 149.640668, 150.398553, 435.497659], [12.477166, 14.029001, 14.051797, 14.483931, 15.836901, 16.155773, 16.761092, 18.503077, 19.148380, 110.124008], [95.831742, 103.485530, 103.955769, 112.223038, 113.233684, 121.671666, 126.371311, 127.444011, 133.363024, 340.351591]]
### 12
fourier: [[80.979875, 85.083984, 86.325700, 91.800712, 95.451526, 99.627296, 105.401305, 107.312811, 110.891786, 244.244642]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[14.880028, 15.533451, 16.132133, 16.523556, 17.513653, 22.135987, 22.553223, 22.826489, 23.503440, 142.494810], [22.741084, 23.129818, 24.471984, 25.476631, 26.147864, 26.792938, 29.655053, 33.377859, 37.033224, 76.580077], [20.190013, 20.371371, 21.704318, 25.093323, 25.246725, 26.194221, 28.164898, 31.175262, 32.910039, 51.153095], [30.118747, 31.899040, 31.974531, 32.074305, 33.146715, 33.155950, 34.902100, 37.386662, 39.496053, 138.739280], [14.860319, 15.573725, 15.727909, 15.906877, 16.528383, 17.070051, 19.797630, 23.268080, 23.411726, 81.894861], [14.779816, 15.338071, 15.681006, 16.369507, 16.688067, 20.832734, 21.153887, 22.328875, 22.631275, 25.254852], [27.643931, 27.750003, 27.963394, 28.367893, 28.667505, 29.010179, 34.210860, 37.120838, 37.856242, 154.408354]]
### 2
fourier: [[11.594287, 11.650962, 12.210644, 12.438526, 13.194766, 13.738444, 14.075623, 14.676724, 16.757049, 19.108254], [27.036223, 27.810731, 28.356240, 29.870084, 30.147725, 32.018253, 33.368102, 37.111373, 39.335777, 71.721739], [9.582860, 9.607720, 10.816850, 11.050839, 11.600975, 12.011497, 12.741927, 14.074236, 15.319791, 45.630809], [43.412571, 47.956607, 50.125120, 51.050162, 51.236326, 53.509009, 53.544407, 57.709251, 59.509841, 242.287020], [7.011450, 7.211840, 8.009393, 8.067796, 8.261528, 8.455241, 8.543395, 8.613447, 11.610052, 22.526125], [11.306339, 11.565911, 11.764227, 11.939362, 13.395530, 13.681814, 14.065899, 14.584392, 19.506149, 31.731397], [5.838678, 6.003691, 6.554076, 6.590557, 7.012479, 7.019968, 7.455806, 8.128670, 10.923208, 18.876236]]
### 4
fourier: [[52.839345, 56.029797, 57.659511, 60.325326, 60.939872, 62.026003, 66.303083, 72.370686, 72.414831, 227.116999], [14.932427, 14.992600, 16.490153, 16.595481, 16.786551, 17.979549, 18.359590, 20.552066, 21.294155, 74.041700], [36.359195, 36.450447, 38.345792, 40.027869, 40.919151, 41.173091, 43.395096, 49.124035, 50.078999, 178.837068], [36.304354, 39.495727, 41.505872, 42.191721, 42.350347, 44.009140, 45.777465, 48.206959, 50.473027, 128.513093], [10.839012, 10.869650, 11.136018, 11.609996, 11.717128, 11.879976, 12.835858, 15.210289, 15.455686, 37.934299], [53.662935, 57.524029, 58.617547, 59.101467, 59.820338, 60.470175, 65.345127, 73.321498, 73.869854, 163.772878], [33.819774, 35.669968, 37.711878, 38.205324, 39.346910, 40.367343, 41.330601, 46.109891, 46.260848, 137.576675]]
### 6
fourier: [[13.185135, 13.428059, 13.946029, 14.562715, 14.624965, 15.131034, 16.449875, 17.841610, 18.863543, 64.642344], [10.370724, 11.527746, 12.064716, 12.088063, 12.139370, 12.367939, 13.189410, 16.963367, 19.146935, 23.786923], [18.614560, 19.774466, 19.975793, 20.174633, 20.626392, 21.664884, 21.990717, 22.284196, 27.891272, 28.534371], [50.937218, 53.154200, 55.307144, 55.779562, 58.320320, 58.583076, 62.041920, 69.101765, 70.413888, 177.708904], [6.718922, 6.932052, 7.248357, 7.543846, 8.446463, 9.262142, 9.445335, 10.086393, 12.546863, 77.094915], [73.659239, 78.027594, 79.923153, 82.554657, 84.295905, 87.400903, 91.859952, 98.051594, 101.350015, 266.973360], [52.183668, 56.877197, 57.759730, 59.691389, 60.228526, 63.220760, 66.484431, 69.586335, 71.487194, 175.247658]]
### 8
fourier: [[84.918453, 92.347873, 92.558792, 98.870820, 100.062654, 106.232598, 111.460757, 114.233536, 117.673284, 302.116827], [79.883176, 86.281708, 86.791193, 92.994541, 93.588606, 99.478065, 104.294077, 107.808477, 111.228504, 308.170801], [5.361187, 5.705882, 5.849098, 6.167857, 6.380977, 6.760443, 6.935732, 7.030878, 9.152769, 111.732935], [62.668734, 66.390921, 66.906422, 70.436046, 70.663707, 73.186011, 78.484153, 86.878520, 88.185905, 202.848432], [60.332750, 64.293184, 65.348059, 67.807970, 67.857230, 69.305913, 75.220103, 84.277051, 84.707737, 141.808662], [50.271621, 53.413706, 54.505253, 56.267362, 56.272916, 57.873137, 62.663895, 70.857468, 71.144239, 121.039063], [65.435297, 71.629734, 73.528030, 80.084700, 80.468626, 83.851587, 86.947795, 93.180098, 93.606241, 325.799206]]
### 10
fourier: [[3.642671, 3.699966, 4.013372, 4.033244, 4.445243, 5.084067, 5.240911, 5.473959, 7.062786, 42.237572], [36.999293, 37.543564, 38.621212, 39.224237, 39.265359, 39.508842, 40.538450, 43.701499, 53.505573, 53.940694], [9.856748, 10.096152, 10.451424, 11.242008, 11.477511, 12.797930, 14.652594, 16.071653, 17.171219, 53.655913], [75.553740, 81.390744, 81.584308, 87.890768, 88.483155, 94.454356, 98.687242, 101.466601, 105.475745, 260.121228], [110.413355, 119.389401, 121.114090, 130.213590, 135.010411, 143.770107, 144.812574, 149.640668, 150.398553, 435.497659], [12.477166, 14.029001, 14.051797, 14.483931, 15.836901, 16.155773, 16.761092, 18.503077, 19.148380, 110.124008], [95.831742, 103.485530, 103.955769, 112.223038, 113.233684, 121.671666, 126.371311, 127.444011, 133.363024, 340.351591]]
### 12
fourier: [[80.979875, 85.083984, 86.325700, 91.800712, 95.451526, 99.627296, 105.401305, 107.312811, 110.891786, 244.244642]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6845654547214508, "train_acc": 0.57, "val_loss": 0.7171134948730469, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.656058132648468, "train_acc": 0.57, "val_loss": 0.5658271312713623, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.60847008228302, "train_acc": 0.57, "val_loss": 0.5131816267967224, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5342929512262344, "train_acc": 0.715, "val_loss": 1.0053935050964355, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7195404171943665, "train_acc": 0.71, "val_loss": 0.4560045003890991, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6484599709510803, "train_acc": 0.685, "val_loss": 0.5766732692718506, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6254366040229797, "train_acc": 0.63, "val_loss": 0.6098359823226929, "val_acc": 0.64}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.6223846971988678, "train_acc": 0.61, "val_loss": 0.6226609349250793, "val_acc": 0.6}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7171134948730469, "final_val_loss": 0.5658271312713623, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5131816267967224, "final_val_loss": 0.6226609349250793, "initial_val_acc": 0.78, "final_val_acc": 0.6, "best_val_acc": 0.86, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
294
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6882, "learning_rate": 0.04365681251808357, "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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}
## Activation Signature
### 0
fourier: [[18.827022, 20.770414, 22.412547, 22.815508, 23.041707, 24.826492, 25.650848, 30.693326, 32.788722, 196.720422], [17.648459, 19.219636, 20.001682, 20.325621, 20.339273, 20.468110, 20.814421, 21.042436, 22.214967, 89.033070], [17.380376, 17.817721, 17.901190, 18.767713, 18.771009, 19.526427, 21.583275, 23.718711, 28.592772, 68.567341], [14.583769, 15.515007, 15.630939, 15.731605, 15.946010, 18.810264, 19.749424, 22.599621, 25.026679, 174.793016], [18.735230, 18.827243, 20.010409, 20.363645, 20.757096, 21.211258, 21.896981, 25.075245, 25.371480, 111.689625], [5.794777, 5.912000, 6.926650, 7.005494, 7.072569, 7.198103, 7.434869, 7.602956, 8.010325, 83.765714], [11.577294, 11.683054, 11.792357, 12.166479, 12.657679, 13.401941, 13.615308, 15.805345, 16.645138, 117.465276], [12.224063, 12.331816, 13.810236, 14.352922, 15.458182, 15.534297, 15.991078, 17.885789, 17.947197, 51.577558]]
### 2
fourier: [[5.455563, 5.783315, 5.857082, 6.332426, 6.395310, 6.400410, 6.414478, 7.412919, 8.073323, 9.386005], [15.775113, 16.060286, 17.371738, 17.545591, 20.425220, 20.682298, 22.110695, 22.850692, 23.911642, 140.814074], [13.440037, 14.140440, 14.643677, 15.028193, 16.567073, 16.831593, 16.877009, 17.613858, 18.904441, 115.806466], [3.167576, 3.248890, 3.323535, 3.396827, 3.524832, 3.795643, 3.799923, 4.113992, 5.046403, 48.526069], [8.557650, 8.786547, 9.005176, 9.249990, 9.554917, 9.591572, 10.120528, 10.289527, 12.292806, 16.629876], [2.894980, 2.952092, 3.167141, 3.215949, 3.272941, 4.094624, 4.399884, 4.627433, 4.816017, 39.923007], [7.177685, 7.185046, 7.259963, 7.383973, 8.067932, 8.542805, 9.142530, 9.414468, 10.810868, 51.933348], [8.536334, 8.959489, 8.969924, 9.072171, 9.607487, 10.213879, 10.328989, 13.061626, 14.997684, 82.180132]]
### 4
fourier: [[11.814318, 12.626456, 13.759005, 14.575454, 14.844408, 15.510287, 16.464415, 17.756213, 18.651010, 42.726730], [14.752935, 14.794991, 15.181623, 16.068637, 18.381854, 19.197577, 20.098380, 20.641488, 20.877344, 108.638105], [2.982063, 3.141229, 3.281217, 3.292820, 3.330401, 3.337829, 3.643335, 4.254920, 4.277210, 8.159369], [14.333979, 15.238126, 16.233440, 17.389619, 18.800580, 19.135109, 21.027082, 21.803085, 22.931388, 116.294804], [4.961208, 5.054737, 5.166596, 5.218394, 5.693322, 5.766726, 6.019540, 7.090595, 7.898127, 73.433323], [5.251185, 5.536478, 5.776370, 5.813925, 5.860562, 5.897271, 6.028904, 7.509444, 7.981088, 32.429963], [4.599356, 5.101618, 5.130548, 5.448800, 5.727560, 6.037438, 6.412672, 6.698437, 6.950697, 39.964909], [16.747761, 16.932820, 19.108593, 19.366111, 21.940439, 22.787059, 24.505565, 24.806285, 25.331449, 146.382919]]
### 6
fourier: [[4.329727, 4.395717, 4.562040, 4.768681, 5.264829, 5.485280, 5.890668, 6.133613, 6.292565, 54.553798], [8.290382, 8.464970, 9.957544, 10.901794, 10.951120, 11.796112, 12.480823, 12.742003, 12.908326, 54.221122], [3.912788, 3.947260, 4.318014, 4.966986, 5.157416, 5.388610, 5.728740, 5.757667, 5.799498, 31.627751], [8.833148, 9.261908, 10.650140, 10.736536, 11.770815, 12.430385, 13.578517, 13.621865, 13.688769, 77.951550], [9.095343, 9.228774, 9.681463, 10.418131, 11.764213, 12.281778, 13.164968, 13.289119, 13.717938, 73.281329], [13.851139, 13.881966, 15.116738, 15.656586, 17.866615, 18.933246, 19.876543, 20.288188, 20.852691, 108.286192], [13.736342, 13.957025, 16.281912, 17.456540, 18.082487, 19.544156, 20.904986, 20.940213, 21.092137, 97.007749], [8.991382, 9.002354, 10.471839, 11.427382, 11.549780, 12.455632, 13.237075, 13.584851, 13.690747, 59.017546]]
### 8
fourier: [[15.711744, 16.047123, 17.975575, 18.322286, 20.496060, 21.820827, 23.136274, 23.605692, 24.259686, 112.636755]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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## Activation Signature
### 0
fourier: [[18.827022, 20.770414, 22.412547, 22.815508, 23.041707, 24.826492, 25.650848, 30.693326, 32.788722, 196.720422], [17.648459, 19.219636, 20.001682, 20.325621, 20.339273, 20.468110, 20.814421, 21.042436, 22.214967, 89.033070], [17.380376, 17.817721, 17.901190, 18.767713, 18.771009, 19.526427, 21.583275, 23.718711, 28.592772, 68.567341], [14.583769, 15.515007, 15.630939, 15.731605, 15.946010, 18.810264, 19.749424, 22.599621, 25.026679, 174.793016], [18.735230, 18.827243, 20.010409, 20.363645, 20.757096, 21.211258, 21.896981, 25.075245, 25.371480, 111.689625], [5.794777, 5.912000, 6.926650, 7.005494, 7.072569, 7.198103, 7.434869, 7.602956, 8.010325, 83.765714], [11.577294, 11.683054, 11.792357, 12.166479, 12.657679, 13.401941, 13.615308, 15.805345, 16.645138, 117.465276], [12.224063, 12.331816, 13.810236, 14.352922, 15.458182, 15.534297, 15.991078, 17.885789, 17.947197, 51.577558]]
### 2
fourier: [[5.455563, 5.783315, 5.857082, 6.332426, 6.395310, 6.400410, 6.414478, 7.412919, 8.073323, 9.386005], [15.775113, 16.060286, 17.371738, 17.545591, 20.425220, 20.682298, 22.110695, 22.850692, 23.911642, 140.814074], [13.440037, 14.140440, 14.643677, 15.028193, 16.567073, 16.831593, 16.877009, 17.613858, 18.904441, 115.806466], [3.167576, 3.248890, 3.323535, 3.396827, 3.524832, 3.795643, 3.799923, 4.113992, 5.046403, 48.526069], [8.557650, 8.786547, 9.005176, 9.249990, 9.554917, 9.591572, 10.120528, 10.289527, 12.292806, 16.629876], [2.894980, 2.952092, 3.167141, 3.215949, 3.272941, 4.094624, 4.399884, 4.627433, 4.816017, 39.923007], [7.177685, 7.185046, 7.259963, 7.383973, 8.067932, 8.542805, 9.142530, 9.414468, 10.810868, 51.933348], [8.536334, 8.959489, 8.969924, 9.072171, 9.607487, 10.213879, 10.328989, 13.061626, 14.997684, 82.180132]]
### 4
fourier: [[11.814318, 12.626456, 13.759005, 14.575454, 14.844408, 15.510287, 16.464415, 17.756213, 18.651010, 42.726730], [14.752935, 14.794991, 15.181623, 16.068637, 18.381854, 19.197577, 20.098380, 20.641488, 20.877344, 108.638105], [2.982063, 3.141229, 3.281217, 3.292820, 3.330401, 3.337829, 3.643335, 4.254920, 4.277210, 8.159369], [14.333979, 15.238126, 16.233440, 17.389619, 18.800580, 19.135109, 21.027082, 21.803085, 22.931388, 116.294804], [4.961208, 5.054737, 5.166596, 5.218394, 5.693322, 5.766726, 6.019540, 7.090595, 7.898127, 73.433323], [5.251185, 5.536478, 5.776370, 5.813925, 5.860562, 5.897271, 6.028904, 7.509444, 7.981088, 32.429963], [4.599356, 5.101618, 5.130548, 5.448800, 5.727560, 6.037438, 6.412672, 6.698437, 6.950697, 39.964909], [16.747761, 16.932820, 19.108593, 19.366111, 21.940439, 22.787059, 24.505565, 24.806285, 25.331449, 146.382919]]
### 6
fourier: [[4.329727, 4.395717, 4.562040, 4.768681, 5.264829, 5.485280, 5.890668, 6.133613, 6.292565, 54.553798], [8.290382, 8.464970, 9.957544, 10.901794, 10.951120, 11.796112, 12.480823, 12.742003, 12.908326, 54.221122], [3.912788, 3.947260, 4.318014, 4.966986, 5.157416, 5.388610, 5.728740, 5.757667, 5.799498, 31.627751], [8.833148, 9.261908, 10.650140, 10.736536, 11.770815, 12.430385, 13.578517, 13.621865, 13.688769, 77.951550], [9.095343, 9.228774, 9.681463, 10.418131, 11.764213, 12.281778, 13.164968, 13.289119, 13.717938, 73.281329], [13.851139, 13.881966, 15.116738, 15.656586, 17.866615, 18.933246, 19.876543, 20.288188, 20.852691, 108.286192], [13.736342, 13.957025, 16.281912, 17.456540, 18.082487, 19.544156, 20.904986, 20.940213, 21.092137, 97.007749], [8.991382, 9.002354, 10.471839, 11.427382, 11.549780, 12.455632, 13.237075, 13.584851, 13.690747, 59.017546]]
### 8
fourier: [[15.711744, 16.047123, 17.975575, 18.322286, 20.496060, 21.820827, 23.136274, 23.605692, 24.259686, 112.636755]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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19.544156251936933, 20.90498576345728, 20.940212771750048, 21.09213742017889, 97.00774949043989]}, "7": {"fourier": [8.991382270918715, 9.002354268169036, 10.471838678882985, 11.427381980658994, 11.549779634683764, 12.455631624016876, 13.237075331234717, 13.584851354879108, 13.6907473760563, 59.0175463296473]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [15.711744491568089, 16.04712257258931, 17.97557462310673, 18.322286339410113, 20.49606043477913, 21.82082709565239, 23.13627435151112, 23.605691522278043, 24.25968592460725, 112.63675516843796]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.468841, 0.101032, -0.408771, -0.176702, -0.196037], [-0.299976, -0.169647, 0.107717, 0.352066, 0.507152], [-0.376859, 0.22733, -0.365293, 0.258588, 0.394788], [-0.220965, -0.224581, -0.100076, -0.373671, 0.009969], [-0.574667, -0.064244, 0.51124, 0.201559, 0.10962], [-0.035408, 0.087575, -0.091561, -0.163427, -0.104502], [0.02991, 0.087527, 0.236197, 0.234655, 0.159378], [0.035356, -0.320572, -0.261764, -0.055634, 0.322932]], "network.0.bias": [-0.311855, 0.066212, 0.538218, -0.259859, 0.437852, -0.375642, -0.084706, 0.234886], "network.2.weight": [[-0.16875, 0.008918, -0.148654, -0.180049, -0.321817, 0.010027, 0.12583, -0.497186], [-0.34839, 0.465863, 0.352997, -0.192322, 0.536568, -0.463549, -0.019527, 0.116854], [-0.481869, 0.497147, 0.059827, 0.063943, 0.240828, -0.147745, 0.333422, 0.037107], [-0.091734, 0.01526, 0.044413, 0.42587, -0.206612, 0.199826, 0.229744, -0.234184], [0.089439, -0.071623, -0.484339, 0.236813, -0.267911, -0.250062, 0.305186, -0.153191], [-0.13178, 0.300344, -0.237943, -0.149573, -0.234616, -0.021178, -0.013633, -0.059201], [0.357104, 0.075297, -0.054646, -0.472939, 0.256232, -0.198009, 0.263631, 0.460136], [-0.15484, -0.091917, 0.531636, -0.169267, 0.333232, 0.08298, -0.120388, 0.198283]], "network.2.bias": [0.357869, -0.03083, -0.063321, -0.542653, 0.40233, -0.239093, -0.172051, 0.217201], "network.4.weight": [[0.45636, -0.274563, -0.204643, -0.188788, 0.539375, 0.072256, -0.081833, -0.307631], [-0.299911, 0.353935, 0.308071, -0.107702, -0.084981, 0.030537, 0.374409, 0.281868], [-0.073147, -0.338387, 0.090041, -0.27712, 0.520233, -0.408669, 0.182441, 0.272413], [0.220558, 0.384105, 0.387379, -0.285588, -0.426184, -0.244728, -0.000106, 0.44095], [0.044683, 0.14669, -0.29898, 0.316139, 0.075653, -0.164475, 0.186301, -0.520097], [0.503444, -0.223201, 0.017802, -0.30544, 0.081336, -0.48244, 0.199872, -0.177896], [0.239625, 0.037622, -0.110535, -0.179309, 0.014423, -0.086301, -0.203086, -0.30942], [-0.343896, 0.488653, 0.436061, -0.32175, -0.601828, -0.525093, 0.136118, 0.120809]], "network.4.bias": [0.372168, -0.092154, -0.142908, -0.145012, -0.33443, -0.137474, -0.069824, 0.174765], "network.6.weight": [[-0.183368, -0.134083, 0.233769, 0.021619, -0.319342, -0.066744, 0.056526, -0.166956], [0.455582, -0.132963, 0.266485, -0.272469, -0.132245, 0.224864, -0.063335, -0.06487], [-0.367169, 0.285752, 0.07723, -0.154894, 0.363646, -0.183514, 0.286278, 0.073105], [-0.164952, 0.039416, -0.275522, 0.285005, 0.12826, -0.229666, -0.434807, 0.195446], [-0.049683, 0.288659, -0.135607, 0.085761, -0.092695, -0.108436, -0.334134, 0.195119], [-0.310131, 0.383859, 0.03645, 0.022939, -0.251766, 0.118905, -0.114647, 0.445853], [-0.456557, 0.198342, -0.599337, 0.289925, -0.523159, -0.333655, -0.133524, 0.298421], [0.33213, 0.100872, 0.313188, -0.271598, -0.253899, 0.254226, 0.122796, -0.296029]], "network.6.bias": [-0.23826, -0.044457, 0.19662, 0.116654, 0.006468, 0.005956, -0.08069, 0.012929], "network.8.weight": [[0.180121, 0.524838, -0.139858, -0.481684, -0.131553, -0.31907, -0.366748, 0.371809]], "network.8.bias": [0.091559]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6970954239368439, "train_acc": 0.41, "val_loss": 0.6566712856292725, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6615161895751953, "train_acc": 0.555, "val_loss": 0.5306805968284607, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5270998179912567, "train_acc": 0.64, "val_loss": 0.2768993079662323, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.2919112890958786, "train_acc": 0.94, "val_loss": 0.2123280018568039, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.1562747061252594, "train_acc": 0.935, "val_loss": 0.20923180878162384, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.13363629952073097, "train_acc": 0.96, "val_loss": 0.27477800846099854, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.0949295274913311, "train_acc": 0.975, "val_loss": 0.3114270567893982, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.10767166316509247, "train_acc": 0.97, "val_loss": 0.3364788889884949, "val_acc": 0.94}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6566712856292725, "final_val_loss": 0.5306805968284607, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.2768993079662323, "final_val_loss": 0.3364788889884949, "initial_val_acc": 0.94, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
295
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3831, "learning_rate": 0.028352807986233325, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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}
## Activation Signature
### 0
fourier: [[16.067899, 16.117090, 16.634302, 17.323625, 17.794635, 18.934165, 19.511454, 25.314415, 26.251998, 42.486528], [22.030125, 22.347176, 24.718194, 25.543414, 26.188742, 28.212068, 28.374956, 30.106713, 31.629700, 32.532971], [22.650900, 23.415839, 23.677837, 24.873719, 26.281914, 28.389619, 30.394290, 37.665641, 39.557396, 166.074478], [6.727249, 6.762809, 6.928213, 6.931238, 8.998967, 9.023725, 9.684291, 11.802666, 11.963206, 84.931418], [30.212629, 31.919474, 33.665550, 34.738831, 36.028335, 38.601474, 44.888100, 44.973368, 46.002198, 98.019751], [38.156361, 38.786998, 39.351415, 39.613059, 39.942562, 43.735358, 49.394346, 52.218706, 55.757264, 402.768117]]
### 2
fourier: [[11.127894, 11.210516, 11.800194, 13.021987, 13.542079, 13.842707, 14.628027, 14.880790, 15.677220, 54.416627], [38.678482, 39.819341, 42.659108, 43.611446, 44.351117, 46.825292, 52.835733, 58.422722, 60.825785, 398.188433], [8.274966, 8.898096, 9.384241, 10.020365, 10.211212, 11.784755, 11.803695, 14.398370, 16.792765, 40.061784], [5.281723, 5.310804, 5.528612, 5.647613, 5.785535, 6.269037, 6.334024, 6.786019, 7.139948, 68.380722], [14.435658, 15.142060, 15.991902, 16.270746, 16.889895, 17.103568, 17.553673, 18.196754, 20.601717, 23.079726], [19.969713, 20.261846, 20.445205, 20.546843, 23.476834, 23.513024, 24.057223, 28.949341, 31.059347, 35.466195]]
### 4
fourier: [[14.366476, 14.896426, 15.015323, 15.074876, 15.124515, 19.273670, 20.092828, 21.015864, 21.084275, 140.563046], [32.072985, 32.086306, 32.235394, 33.207409, 37.042527, 43.045179, 44.056165, 44.891931, 47.364745, 288.040529], [24.309142, 25.853291, 26.121246, 27.561738, 28.887289, 31.705779, 33.829704, 35.900772, 38.491094, 221.275002], [9.929829, 10.891898, 10.947098, 11.547339, 12.684498, 13.052160, 13.225176, 14.729848, 17.278568, 103.448207], [23.084379, 23.759087, 24.001711, 26.066777, 28.000113, 30.947979, 31.057881, 39.328920, 39.527649, 280.535444], [9.594780, 9.689034, 9.919108, 11.098644, 11.185525, 11.762879, 14.386408, 14.472590, 15.584603, 104.797735]]
### 6
fourier: [[28.962848, 32.514970, 34.626820, 34.708840, 35.065771, 36.909406, 43.309555, 44.640115, 47.166734, 353.397621], [42.938882, 44.592883, 47.983368, 48.099202, 50.439967, 59.141371, 63.410473, 63.535424, 63.771246, 421.845364], [10.862991, 11.105506, 11.222517, 11.563486, 11.699901, 13.933365, 15.377787, 15.489795, 22.123593, 81.434546], [25.975203, 26.670990, 27.180130, 27.422511, 29.381556, 29.635065, 34.670756, 40.363935, 54.366729, 106.545382], [36.619548, 36.735980, 39.511577, 39.574225, 42.527467, 49.268358, 51.869772, 52.925833, 54.938027, 340.717579], [9.677481, 10.368327, 10.614687, 11.469234, 11.796374, 13.568941, 14.443882, 15.957481, 19.530284, 153.628184]]
### 8
fourier: [[11.149004, 11.658315, 11.747595, 11.980681, 13.583268, 14.491431, 16.270893, 16.934296, 21.198694, 64.959093], [8.513744, 8.896737, 9.703979, 10.107960, 11.315138, 11.663556, 11.895138, 15.405628, 15.642475, 19.042852], [41.022245, 46.012333, 48.522285, 48.572389, 49.754031, 49.887698, 54.552336, 63.465885, 68.267278, 452.199023], [5.903179, 6.249638, 6.464141, 7.047634, 7.087054, 7.394113, 7.637067, 7.950759, 9.197199, 10.934245], [12.552401, 12.908288, 14.345099, 14.829874, 14.842434, 14.975902, 16.390979, 18.591541, 23.009088, 46.494151], [23.617876, 24.652899, 25.656140, 26.086969, 27.899944, 33.315628, 34.270263, 34.285929, 34.775716, 220.717745]]
### 10
fourier: [[34.474037, 35.815304, 35.855441, 36.219942, 38.241671, 40.005777, 42.574066, 50.143980, 56.163762, 310.250308]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[16.067899, 16.117090, 16.634302, 17.323625, 17.794635, 18.934165, 19.511454, 25.314415, 26.251998, 42.486528], [22.030125, 22.347176, 24.718194, 25.543414, 26.188742, 28.212068, 28.374956, 30.106713, 31.629700, 32.532971], [22.650900, 23.415839, 23.677837, 24.873719, 26.281914, 28.389619, 30.394290, 37.665641, 39.557396, 166.074478], [6.727249, 6.762809, 6.928213, 6.931238, 8.998967, 9.023725, 9.684291, 11.802666, 11.963206, 84.931418], [30.212629, 31.919474, 33.665550, 34.738831, 36.028335, 38.601474, 44.888100, 44.973368, 46.002198, 98.019751], [38.156361, 38.786998, 39.351415, 39.613059, 39.942562, 43.735358, 49.394346, 52.218706, 55.757264, 402.768117]]
### 2
fourier: [[11.127894, 11.210516, 11.800194, 13.021987, 13.542079, 13.842707, 14.628027, 14.880790, 15.677220, 54.416627], [38.678482, 39.819341, 42.659108, 43.611446, 44.351117, 46.825292, 52.835733, 58.422722, 60.825785, 398.188433], [8.274966, 8.898096, 9.384241, 10.020365, 10.211212, 11.784755, 11.803695, 14.398370, 16.792765, 40.061784], [5.281723, 5.310804, 5.528612, 5.647613, 5.785535, 6.269037, 6.334024, 6.786019, 7.139948, 68.380722], [14.435658, 15.142060, 15.991902, 16.270746, 16.889895, 17.103568, 17.553673, 18.196754, 20.601717, 23.079726], [19.969713, 20.261846, 20.445205, 20.546843, 23.476834, 23.513024, 24.057223, 28.949341, 31.059347, 35.466195]]
### 4
fourier: [[14.366476, 14.896426, 15.015323, 15.074876, 15.124515, 19.273670, 20.092828, 21.015864, 21.084275, 140.563046], [32.072985, 32.086306, 32.235394, 33.207409, 37.042527, 43.045179, 44.056165, 44.891931, 47.364745, 288.040529], [24.309142, 25.853291, 26.121246, 27.561738, 28.887289, 31.705779, 33.829704, 35.900772, 38.491094, 221.275002], [9.929829, 10.891898, 10.947098, 11.547339, 12.684498, 13.052160, 13.225176, 14.729848, 17.278568, 103.448207], [23.084379, 23.759087, 24.001711, 26.066777, 28.000113, 30.947979, 31.057881, 39.328920, 39.527649, 280.535444], [9.594780, 9.689034, 9.919108, 11.098644, 11.185525, 11.762879, 14.386408, 14.472590, 15.584603, 104.797735]]
### 6
fourier: [[28.962848, 32.514970, 34.626820, 34.708840, 35.065771, 36.909406, 43.309555, 44.640115, 47.166734, 353.397621], [42.938882, 44.592883, 47.983368, 48.099202, 50.439967, 59.141371, 63.410473, 63.535424, 63.771246, 421.845364], [10.862991, 11.105506, 11.222517, 11.563486, 11.699901, 13.933365, 15.377787, 15.489795, 22.123593, 81.434546], [25.975203, 26.670990, 27.180130, 27.422511, 29.381556, 29.635065, 34.670756, 40.363935, 54.366729, 106.545382], [36.619548, 36.735980, 39.511577, 39.574225, 42.527467, 49.268358, 51.869772, 52.925833, 54.938027, 340.717579], [9.677481, 10.368327, 10.614687, 11.469234, 11.796374, 13.568941, 14.443882, 15.957481, 19.530284, 153.628184]]
### 8
fourier: [[11.149004, 11.658315, 11.747595, 11.980681, 13.583268, 14.491431, 16.270893, 16.934296, 21.198694, 64.959093], [8.513744, 8.896737, 9.703979, 10.107960, 11.315138, 11.663556, 11.895138, 15.405628, 15.642475, 19.042852], [41.022245, 46.012333, 48.522285, 48.572389, 49.754031, 49.887698, 54.552336, 63.465885, 68.267278, 452.199023], [5.903179, 6.249638, 6.464141, 7.047634, 7.087054, 7.394113, 7.637067, 7.950759, 9.197199, 10.934245], [12.552401, 12.908288, 14.345099, 14.829874, 14.842434, 14.975902, 16.390979, 18.591541, 23.009088, 46.494151], [23.617876, 24.652899, 25.656140, 26.086969, 27.899944, 33.315628, 34.270263, 34.285929, 34.775716, 220.717745]]
### 10
fourier: [[34.474037, 35.815304, 35.855441, 36.219942, 38.241671, 40.005777, 42.574066, 50.143980, 56.163762, 310.250308]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": {"fourier": [16.067899065457688, 16.117089733250356, 16.634301594615444, 17.323624986304786, 17.79463490788365, 18.934164812767058, 19.511454391114775, 25.314415150722454, 26.251998125225988, 42.486527785658836]}, "1": {"fourier": [22.030125310768486, 22.347176346371498, 24.718194377171088, 25.543414179792478, 26.188742029986045, 28.21206793023602, 28.374955712994637, 30.106712562963367, 31.62969984237851, 32.532970915039634]}, "2": {"fourier": [22.650899774394645, 23.41583890228752, 23.677836529534947, 24.873718715379113, 26.281913732674216, 28.38961863860323, 30.394289968948176, 37.6656408609601, 39.55739621040116, 166.0744784772396]}, "3": {"fourier": [6.727249463224977, 6.762808847593492, 6.928212513946777, 6.931237754517449, 8.998967224649725, 9.023724770675328, 9.684291173596458, 11.802666486049068, 11.963206478686706, 84.93141779303551]}, "4": {"fourier": [30.212628540062855, 31.919474385024476, 33.66554968866555, 34.73883088740121, 36.02833475027262, 38.60147403302465, 44.888100344572045, 44.97336843113942, 46.00219836117754, 98.01975072501227]}, "5": {"fourier": [38.156361041028134, 38.7869980678685, 39.351415360303314, 39.6130588840032, 39.94256168579531, 43.735358422866184, 49.394346467817364, 52.218705527852386, 55.757263666540894, 402.7681173682213]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [11.127893777953004, 11.210516250626457, 11.800194220304771, 13.021987095739199, 13.542078898175976, 13.842707030763659, 14.628027175495438, 14.88079019271202, 15.67722015446477, 54.41662721335888]}, "1": {"fourier": [38.67848213704986, 39.81934096880514, 42.659108256862396, 43.61144559811097, 44.35111737062269, 46.825292451218516, 52.83573263130971, 58.42272158711642, 60.82578465224292, 398.1884325146675]}, "2": {"fourier": [8.274966211247227, 8.898095907665558, 9.384240627550394, 10.020364531634119, 10.211212047113898, 11.784755072064998, 11.803694508012313, 14.398370215700963, 16.792765287167576, 40.061784125864506]}, "3": {"fourier": [5.281722708851492, 5.310803516076419, 5.5286117593984905, 5.647612652529782, 5.7855353762711355, 6.269037127205604, 6.334023902535786, 6.786018746338898, 7.139948068190664, 68.38072195649147]}, "4": {"fourier": [14.435657664807861, 15.14205967063284, 15.991902146266208, 16.270745613285666, 16.88989478707112, 17.10356754331292, 17.553673198309188, 18.19675363955485, 20.60171670209673, 23.079726421725447]}, "5": {"fourier": [19.969712763589964, 20.26184587012133, 20.44520537068567, 20.546843094893124, 23.476834067641754, 23.51302449328554, 24.05722347396, 28.94934079277135, 31.05934690364351, 35.46619503537543]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [14.366475517005224, 14.896426408463048, 15.015323300670966, 15.074875573430345, 15.124514995878645, 19.273669969341526, 20.0928283934693, 21.01586426805043, 21.084274748032147, 140.5630461499095]}, "1": {"fourier": [32.07298541097847, 32.0863062353254, 32.23539405744029, 33.20740933887595, 37.04252713447574, 43.04517927836766, 44.05616496488516, 44.89193127447518, 47.36474517012723, 288.0405286848545]}, "2": {"fourier": [24.30914219231518, 25.85329070909934, 26.12124643397575, 27.56173786027028, 28.887288888093202, 31.705779386502265, 33.82970393964552, 35.90077192105999, 38.49109371346557, 221.2750015705824]}, "3": {"fourier": [9.92982890793811, 10.891898062313231, 10.94709833337025, 11.547339390215793, 12.684497514232964, 13.052159693481624, 13.225176465760791, 14.72984829300476, 17.27856796485783, 103.44820657372475]}, "4": {"fourier": [23.084378844512422, 23.759087263037344, 24.001711450996282, 26.066777318974236, 28.000112523871643, 30.947979352375576, 31.05788124754259, 39.32891963633405, 39.527648508891886, 280.53544384241104]}, "5": {"fourier": [9.594780268382546, 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27.18012982879877, 27.422510866274028, 29.38155623398633, 29.63506519518544, 34.67075576395304, 40.363934547346105, 54.36672863846289, 106.5453817769885]}, "4": {"fourier": [36.619548457491824, 36.73598004446175, 39.51157663601525, 39.57422540198473, 42.527466536215265, 49.26835752371246, 51.8697722044859, 52.92583296887626, 54.93802736362247, 340.71757942438126]}, "5": {"fourier": [9.677481092200477, 10.368326529619283, 10.614687333252812, 11.46923366928019, 11.796374456720908, 13.568941438266195, 14.443882177001377, 15.957481495139126, 19.530284396031185, 153.62818384170532]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [11.149004271749792, 11.658315306449966, 11.747594525639169, 11.980680722960404, 13.583267663633809, 14.491431232208207, 16.270893424867428, 16.934296275446215, 21.19869417437707, 64.95909337699413]}, "1": {"fourier": [8.513743820723857, 8.896736772403012, 9.703978784302453, 10.107960198775245, 11.315138022182376, 11.663556290700695, 11.895138021352244, 15.40562790632248, 15.642474922858332, 19.042852143254546]}, "2": {"fourier": [41.022245381978024, 46.012332826195724, 48.52228514564873, 48.57238862399717, 49.75403125402299, 49.88769824599246, 54.55233632578543, 63.465885350991684, 68.26727794207316, 452.19902300834656]}, "3": {"fourier": [5.903179056216824, 6.24963819612364, 6.464141281477354, 7.047633684949856, 7.087053975886223, 7.394112712609035, 7.637066986511611, 7.950758958468232, 9.197199195623398, 10.934245100979036]}, "4": {"fourier": [12.552401462282553, 12.908287966068672, 14.34509924821937, 14.829874471196272, 14.842434139597582, 14.975902010377078, 16.390979074815505, 18.59154149646725, 23.009088358324686, 46.494151309132576]}, "5": {"fourier": [23.617876376350466, 24.65289941137588, 25.656140216163593, 26.086968593131008, 27.89994354845847, 33.31562797900383, 34.27026306137982, 34.28592866589872, 34.775715782343134, 220.7177449464798]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [34.47403717816209, 35.81530355676714, 35.855440849820134, 36.2199423486172, 38.24167089200734, 40.00577709175417, 42.57406590956687, 50.143980189886136, 56.16376199543905, 310.25030812621117]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["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": [[-0.143798, -0.243284, -0.030773, -0.073555, 0.680197], [-0.28033, -0.418234, -0.346841, 0.448155, 0.445249], [0.520628, -0.540362, 0.390828, 0.309407, 0.359264], [-0.16994, 0.149924, -0.049214, -0.154362, -0.145865], [0.776014, 0.099427, 0.387791, -0.523245, 0.20659], [0.854805, 0.445479, 0.478212, 0.478148, -0.05125]], "network.0.bias": [0.477445, -0.009219, 0.259046, -0.391672, -0.000553, 0.638597], "network.2.weight": [[-0.016863, -0.182725, 0.340043, 0.284051, -0.336828, -0.223885], [0.178776, 0.002803, 0.458904, -0.45091, 0.294012, 0.667101], [0.121651, 0.230391, -0.237442, -0.381463, -0.221188, 0.062567], [-0.047613, 0.036378, 0.017449, 0.271191, -0.067991, -0.096332], [0.162151, -0.03247, 0.000945, -0.060215, 0.729093, -0.235036], [0.610701, 0.388348, 0.572402, -0.069467, -0.5174, -0.167247]], "network.2.bias": [0.357251, 0.01643, -0.194598, -0.217745, -0.046854, -0.071125], "network.4.weight": [[-0.423514, 0.375672, 0.317093, 0.299723, -0.250631, -0.338233], [-0.600686, 0.668265, -0.109129, -0.336619, 0.468388, -0.415477], [-0.631136, 0.543869, -0.226732, -0.58858, 0.208582, -0.428716], [-0.471485, 0.195517, -0.32702, -0.446264, -0.506427, 0.554377], [-0.506441, 0.643654, -0.364775, -0.688303, -0.226072, 0.295086], [0.163099, -0.08817, 0.561606, 0.547687, 0.185947, -0.62332]], "network.4.bias": [0.222011, 0.237041, 0.102517, 0.080124, 0.07661, -0.402404], "network.6.weight": [[0.235925, 0.575753, -0.024636, 0.15488, 0.392486, -0.224347], [0.380937, 0.503462, 0.523586, -0.198158, 0.42446, -0.313333], [-0.549698, 0.202441, -0.203536, 0.587475, -0.201372, 0.030328], [-0.405509, -0.446671, -0.597298, 0.651809, 0.472816, -0.280492], [0.135984, 0.604401, 0.494203, -0.059328, 0.138919, -0.138293], [0.30791, -0.230266, 0.248171, -0.349572, -0.409722, 0.187155]], "network.6.bias": [0.420805, 0.127152, -0.219392, 0.097747, 0.101749, -0.385702], "network.8.weight": [[0.076483, -0.351999, 0.306604, 0.376732, 0.105422, -0.22157], [0.318487, 0.049572, -0.061965, 0.452474, -0.480222, 0.022389], [0.306856, 0.42891, -0.624793, -0.56793, 0.32475, -0.135036], [-0.009744, 0.03024, 0.301178, 0.427075, 0.05017, -0.224138], [0.366537, -0.17583, -0.109461, 0.163939, -0.413872, -0.269524], [-0.059848, 0.260397, -0.006954, 0.121712, 0.393684, -0.284302]], "network.8.bias": [0.129011, 0.047751, 0.709159, -0.29626, 0.356989, -0.056454], "network.10.weight": [[0.324908, 0.31866, -0.645303, 0.315672, 0.181567, -0.14764]], "network.10.bias": [0.073221]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6926417350769043, "train_acc": 0.475, "val_loss": 0.6869909763336182, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6716073751449585, "train_acc": 0.585, "val_loss": 0.6567262411117554, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6312141716480255, "train_acc": 0.58, "val_loss": 0.5777177214622498, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.55154949426651, "train_acc": 0.785, "val_loss": 0.40390923619270325, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4088503569364548, "train_acc": 0.855, "val_loss": 0.2508940100669861, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.33076854050159454, "train_acc": 0.87, "val_loss": 0.5835402607917786, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4363516718149185, "train_acc": 0.795, "val_loss": 0.17950332164764404, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2850983813405037, "train_acc": 0.88, "val_loss": 0.18921145796775818, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2163986787199974, "train_acc": 0.91, "val_loss": 0.3367660641670227, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2443353682756424, "train_acc": 0.89, "val_loss": 0.15630598366260529, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.20908625423908234, "train_acc": 0.915, "val_loss": 0.16000701487064362, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.19089721143245697, "train_acc": 0.925, "val_loss": 0.24299469590187073, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.18678446859121323, "train_acc": 0.935, "val_loss": 0.15371784567832947, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6869909763336182, "final_val_loss": 0.5777177214622498, "initial_val_acc": 0.48, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.40390923619270325, "final_val_loss": 0.15371784567832947, "initial_val_acc": 0.92, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 7}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
296
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.64, "improved_accuracy": 0.94, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4596, "learning_rate": 0.014471783142497457, "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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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[19.930130, 20.087442, 21.324680, 21.463528, 21.850398, 21.982102, 24.023759, 24.818979, 27.010715, 28.670650], [17.465761, 18.060486, 18.191417, 18.410166, 18.852101, 20.332477, 22.693973, 24.682176, 25.753907, 138.459598], [24.424279, 25.766567, 26.355584, 26.816289, 28.242862, 28.351583, 28.358078, 33.287444, 34.642933, 45.576509], [18.036817, 19.541255, 19.563866, 20.159670, 21.660643, 21.676492, 22.449899, 26.661350, 30.526361, 46.327157], [11.002454, 11.683031, 12.988513, 14.103206, 14.137802, 14.486431, 17.021425, 17.181080, 19.708714, 20.868561], [18.757281, 18.796635, 18.892382, 19.058688, 20.169250, 20.625566, 21.175609, 24.581145, 35.053254, 212.296312], [12.949063, 13.305489, 13.599499, 13.736922, 14.145021, 16.748605, 17.302736, 19.063213, 21.958330, 52.425028], [18.554206, 18.615322, 19.768845, 19.787981, 20.270734, 20.987348, 22.824670, 23.001969, 23.773071, 101.102173]]
### 2
fourier: [[21.439659, 22.598530, 24.132774, 25.763471, 27.122261, 30.236967, 34.980915, 35.264478, 40.987234, 172.671027], [18.822752, 19.432939, 19.755355, 20.311483, 22.147109, 23.351714, 26.414529, 27.068593, 31.345263, 33.003175], [17.973491, 18.377376, 18.465282, 19.675862, 21.037464, 24.573116, 25.489894, 26.867125, 28.289593, 28.965506], [21.713713, 21.862050, 23.174702, 23.543359, 23.681704, 26.335653, 28.269897, 28.837386, 33.179542, 202.974993], [22.776845, 23.530313, 23.935058, 24.487951, 26.305630, 29.385041, 30.946924, 32.373173, 33.932549, 46.964318], [12.544461, 12.749246, 13.332820, 13.659288, 14.942083, 15.797785, 16.951557, 17.057625, 18.779524, 22.310494], [19.649604, 19.816732, 20.219648, 20.859062, 22.528797, 23.167748, 26.162542, 29.610831, 33.808088, 180.586002], [9.756412, 9.920167, 10.618717, 11.656636, 11.845255, 12.481123, 13.488226, 14.560627, 15.290698, 146.259597]]
### 4
fourier: [[21.431204, 22.742934, 22.868914, 23.690678, 24.752036, 25.414163, 32.752163, 33.200831, 38.735018, 111.262726], [25.432176, 25.776828, 26.993066, 28.679520, 31.474079, 37.248456, 37.574784, 40.239894, 45.817583, 223.428643], [17.828208, 19.334680, 19.362316, 19.564723, 20.567981, 20.777694, 28.284703, 28.354628, 33.498520, 85.743414], [11.225423, 11.341036, 11.644352, 12.318340, 14.431553, 16.222705, 17.231570, 18.522289, 20.861577, 129.651505], [35.203310, 36.234155, 36.306426, 36.471051, 40.599851, 47.236583, 49.235773, 53.279951, 60.795119, 281.416800], [12.326016, 12.671165, 13.437357, 13.995562, 15.266625, 17.082600, 17.768558, 18.825470, 21.629762, 23.552052], [18.584798, 21.590517, 22.783803, 23.233211, 23.366988, 24.190147, 29.416466, 29.521482, 30.410184, 67.160648], [8.099632, 8.372722, 8.539668, 8.686176, 9.400376, 9.401851, 10.490031, 10.838993, 11.446905, 95.388860]]
### 6
fourier: [[40.119764, 44.013958, 45.915854, 46.485440, 48.285074, 50.986320, 64.474333, 66.011241, 76.032577, 246.601792], [42.864143, 44.467856, 45.936140, 48.471264, 48.569893, 49.066098, 64.061200, 67.259401, 76.791414, 148.846731], [29.108042, 30.908101, 30.962365, 32.767422, 34.243298, 37.934900, 45.781180, 46.167790, 54.344298, 163.982735], [46.559702, 47.458249, 49.118608, 52.863763, 52.897802, 58.038870, 72.140394, 73.275179, 85.586658, 226.938546], [24.055871, 24.631952, 25.551751, 27.100921, 28.322534, 31.699981, 38.090699, 38.295005, 45.181532, 149.320965], [8.098183, 8.215666, 8.441183, 8.746786, 9.543843, 9.544207, 9.857506, 10.652051, 11.437507, 95.149750], [49.370236, 50.156064, 51.176927, 55.791166, 57.532791, 64.598141, 77.658578, 78.420441, 91.827359, 328.337246], [27.404427, 28.760747, 29.054008, 31.466555, 31.481578, 35.309024, 42.906953, 43.701588, 50.539783, 137.624299]]
### 8
fourier: [[15.714040, 17.126415, 17.571885, 18.405111, 19.373643, 19.700711, 24.249488, 24.927747, 29.264320, 82.342436], [43.960322, 47.968087, 49.462048, 52.746674, 53.044120, 55.336720, 70.569679, 72.429831, 82.515794, 197.413619], [8.094982, 8.165252, 8.710646, 8.853863, 9.697491, 9.775775, 10.747681, 12.836042, 13.371844, 14.894888], [29.136710, 32.103419, 32.289442, 34.693083, 34.795399, 36.751816, 47.204521, 47.377325, 54.945608, 192.645757], [20.578706, 22.581814, 22.691063, 24.068794, 24.187864, 25.998624, 32.819227, 33.285408, 38.600552, 122.782164], [20.775514, 22.922769, 24.089308, 25.764657, 25.950907, 27.466494, 33.697631, 34.602391, 39.645801, 106.306614], [47.239891, 50.354047, 52.848089, 53.931617, 55.416885, 59.291432, 75.343607, 76.251424, 87.608328, 320.551567], [16.829236, 18.521661, 19.152028, 20.749453, 20.912044, 22.102706, 27.267742, 27.987674, 31.893501, 101.503593]]
### 10
fourier: [[52.517774, 58.092515, 59.900159, 64.325976, 66.528646, 67.192580, 86.468082, 87.276730, 100.316328, 331.403882]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[19.930130, 20.087442, 21.324680, 21.463528, 21.850398, 21.982102, 24.023759, 24.818979, 27.010715, 28.670650], [17.465761, 18.060486, 18.191417, 18.410166, 18.852101, 20.332477, 22.693973, 24.682176, 25.753907, 138.459598], [24.424279, 25.766567, 26.355584, 26.816289, 28.242862, 28.351583, 28.358078, 33.287444, 34.642933, 45.576509], [18.036817, 19.541255, 19.563866, 20.159670, 21.660643, 21.676492, 22.449899, 26.661350, 30.526361, 46.327157], [11.002454, 11.683031, 12.988513, 14.103206, 14.137802, 14.486431, 17.021425, 17.181080, 19.708714, 20.868561], [18.757281, 18.796635, 18.892382, 19.058688, 20.169250, 20.625566, 21.175609, 24.581145, 35.053254, 212.296312], [12.949063, 13.305489, 13.599499, 13.736922, 14.145021, 16.748605, 17.302736, 19.063213, 21.958330, 52.425028], [18.554206, 18.615322, 19.768845, 19.787981, 20.270734, 20.987348, 22.824670, 23.001969, 23.773071, 101.102173]]
### 2
fourier: [[21.439659, 22.598530, 24.132774, 25.763471, 27.122261, 30.236967, 34.980915, 35.264478, 40.987234, 172.671027], [18.822752, 19.432939, 19.755355, 20.311483, 22.147109, 23.351714, 26.414529, 27.068593, 31.345263, 33.003175], [17.973491, 18.377376, 18.465282, 19.675862, 21.037464, 24.573116, 25.489894, 26.867125, 28.289593, 28.965506], [21.713713, 21.862050, 23.174702, 23.543359, 23.681704, 26.335653, 28.269897, 28.837386, 33.179542, 202.974993], [22.776845, 23.530313, 23.935058, 24.487951, 26.305630, 29.385041, 30.946924, 32.373173, 33.932549, 46.964318], [12.544461, 12.749246, 13.332820, 13.659288, 14.942083, 15.797785, 16.951557, 17.057625, 18.779524, 22.310494], [19.649604, 19.816732, 20.219648, 20.859062, 22.528797, 23.167748, 26.162542, 29.610831, 33.808088, 180.586002], [9.756412, 9.920167, 10.618717, 11.656636, 11.845255, 12.481123, 13.488226, 14.560627, 15.290698, 146.259597]]
### 4
fourier: [[21.431204, 22.742934, 22.868914, 23.690678, 24.752036, 25.414163, 32.752163, 33.200831, 38.735018, 111.262726], [25.432176, 25.776828, 26.993066, 28.679520, 31.474079, 37.248456, 37.574784, 40.239894, 45.817583, 223.428643], [17.828208, 19.334680, 19.362316, 19.564723, 20.567981, 20.777694, 28.284703, 28.354628, 33.498520, 85.743414], [11.225423, 11.341036, 11.644352, 12.318340, 14.431553, 16.222705, 17.231570, 18.522289, 20.861577, 129.651505], [35.203310, 36.234155, 36.306426, 36.471051, 40.599851, 47.236583, 49.235773, 53.279951, 60.795119, 281.416800], [12.326016, 12.671165, 13.437357, 13.995562, 15.266625, 17.082600, 17.768558, 18.825470, 21.629762, 23.552052], [18.584798, 21.590517, 22.783803, 23.233211, 23.366988, 24.190147, 29.416466, 29.521482, 30.410184, 67.160648], [8.099632, 8.372722, 8.539668, 8.686176, 9.400376, 9.401851, 10.490031, 10.838993, 11.446905, 95.388860]]
### 6
fourier: [[40.119764, 44.013958, 45.915854, 46.485440, 48.285074, 50.986320, 64.474333, 66.011241, 76.032577, 246.601792], [42.864143, 44.467856, 45.936140, 48.471264, 48.569893, 49.066098, 64.061200, 67.259401, 76.791414, 148.846731], [29.108042, 30.908101, 30.962365, 32.767422, 34.243298, 37.934900, 45.781180, 46.167790, 54.344298, 163.982735], [46.559702, 47.458249, 49.118608, 52.863763, 52.897802, 58.038870, 72.140394, 73.275179, 85.586658, 226.938546], [24.055871, 24.631952, 25.551751, 27.100921, 28.322534, 31.699981, 38.090699, 38.295005, 45.181532, 149.320965], [8.098183, 8.215666, 8.441183, 8.746786, 9.543843, 9.544207, 9.857506, 10.652051, 11.437507, 95.149750], [49.370236, 50.156064, 51.176927, 55.791166, 57.532791, 64.598141, 77.658578, 78.420441, 91.827359, 328.337246], [27.404427, 28.760747, 29.054008, 31.466555, 31.481578, 35.309024, 42.906953, 43.701588, 50.539783, 137.624299]]
### 8
fourier: [[15.714040, 17.126415, 17.571885, 18.405111, 19.373643, 19.700711, 24.249488, 24.927747, 29.264320, 82.342436], [43.960322, 47.968087, 49.462048, 52.746674, 53.044120, 55.336720, 70.569679, 72.429831, 82.515794, 197.413619], [8.094982, 8.165252, 8.710646, 8.853863, 9.697491, 9.775775, 10.747681, 12.836042, 13.371844, 14.894888], [29.136710, 32.103419, 32.289442, 34.693083, 34.795399, 36.751816, 47.204521, 47.377325, 54.945608, 192.645757], [20.578706, 22.581814, 22.691063, 24.068794, 24.187864, 25.998624, 32.819227, 33.285408, 38.600552, 122.782164], [20.775514, 22.922769, 24.089308, 25.764657, 25.950907, 27.466494, 33.697631, 34.602391, 39.645801, 106.306614], [47.239891, 50.354047, 52.848089, 53.931617, 55.416885, 59.291432, 75.343607, 76.251424, 87.608328, 320.551567], [16.829236, 18.521661, 19.152028, 20.749453, 20.912044, 22.102706, 27.267742, 27.987674, 31.893501, 101.503593]]
### 10
fourier: [[52.517774, 58.092515, 59.900159, 64.325976, 66.528646, 67.192580, 86.468082, 87.276730, 100.316328, 331.403882]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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297
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|
## 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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## Activation Signature
### 0
fourier: [[21.642173, 22.062490, 23.035319, 23.744807, 24.871298, 25.058843, 25.727458, 28.088171, 30.806483, 107.365927], [20.316308, 20.647768, 21.444018, 21.499306, 22.959102, 24.211244, 25.950761, 26.207712, 29.115821, 133.671984], [18.696852, 20.120676, 22.146261, 22.434897, 27.386834, 29.772452, 30.719438, 31.184833, 33.256414, 166.923937], [20.048596, 20.396828, 21.501937, 21.945364, 23.361794, 24.144142, 26.793642, 28.530997, 29.362550, 209.470519], [21.016570, 22.218787, 22.969244, 25.390010, 26.253157, 27.004800, 27.070368, 30.022048, 42.058209, 161.121031], [23.457433, 23.791222, 23.861674, 25.231258, 25.953968, 28.572807, 28.688465, 37.089115, 39.584561, 201.320418], [25.396713, 26.947801, 27.750210, 28.359244, 29.827650, 30.823037, 34.728232, 35.028681, 39.334739, 91.606960]]
### 2
fourier: [[9.496927, 9.765317, 10.212372, 10.448391, 10.507363, 11.181835, 13.391930, 13.993093, 15.808682, 58.286502], [12.704080, 12.714242, 12.947759, 13.022320, 13.036861, 14.462092, 14.528869, 15.147047, 15.551622, 52.946358], [16.337549, 16.701479, 16.703675, 17.270437, 17.758022, 19.806101, 20.502582, 21.405822, 24.198133, 68.516631], [9.276581, 9.347250, 9.594804, 9.625063, 10.244452, 10.550696, 10.871101, 14.037203, 16.850040, 111.587884], [17.914851, 18.169652, 18.334606, 18.352644, 18.963461, 19.800516, 20.167345, 20.179123, 22.513164, 162.526404], [22.176645, 22.512868, 24.953323, 25.068716, 27.512581, 27.895177, 30.786804, 36.486405, 40.176274, 192.953013], [12.129586, 12.974813, 13.275949, 13.317878, 13.356492, 13.810660, 15.470113, 17.108906, 19.890606, 47.675677]]
### 4
fourier: [[19.977759, 21.090310, 21.482459, 22.162660, 22.221389, 22.242670, 23.184170, 23.301478, 29.453976, 47.301176], [8.564800, 8.978736, 9.231816, 9.455195, 9.552555, 9.909616, 10.292759, 10.519568, 11.969138, 18.550279], [19.112248, 19.458015, 19.811282, 20.215612, 22.564882, 25.635922, 27.875698, 31.660080, 34.492925, 171.585256], [12.293040, 13.157443, 13.336918, 13.472847, 13.663768, 13.928650, 14.374768, 14.631764, 16.308014, 16.427746], [5.844740, 5.982350, 6.103423, 6.111315, 6.786022, 6.985085, 7.189064, 7.287920, 7.386647, 16.888900], [9.271317, 9.501122, 10.173533, 10.497808, 11.330711, 11.776800, 12.099458, 13.685653, 16.349384, 77.145804], [5.835957, 6.856682, 6.900176, 7.039592, 7.429041, 8.128730, 8.398292, 8.566973, 10.458987, 14.020604]]
### 6
fourier: [[10.241134, 11.071213, 11.242602, 12.406985, 12.501381, 13.767878, 14.801297, 16.858986, 19.901409, 71.084321], [17.890907, 18.658524, 18.967351, 20.075103, 20.967852, 20.980745, 21.186156, 21.796575, 24.535293, 124.409981], [4.943653, 4.981441, 5.684059, 5.886292, 6.400470, 6.538849, 6.747235, 6.778266, 10.397536, 23.589180], [19.413775, 20.202492, 20.658380, 21.073123, 21.913989, 22.167415, 22.729624, 24.472881, 25.865027, 154.139839], [2.458634, 2.465546, 2.496220, 2.833314, 3.262021, 3.263142, 3.354968, 4.214433, 4.713093, 45.987196], [14.951711, 14.986724, 15.620629, 16.044614, 16.330491, 16.691801, 17.107739, 17.127696, 17.671883, 53.148735], [13.216942, 14.595169, 15.738731, 16.098070, 17.184820, 17.357315, 18.229600, 23.600472, 25.174427, 106.981611]]
### 8
fourier: [[4.643145, 4.788652, 4.990218, 5.251058, 5.699690, 6.318479, 6.941685, 7.169963, 8.791257, 9.688504], [12.079121, 13.274019, 13.295154, 13.354696, 15.991500, 16.724158, 16.773120, 19.460586, 24.302918, 55.714434], [11.815400, 11.829042, 12.190872, 12.535330, 14.884458, 15.752005, 15.783978, 17.579082, 21.495605, 42.184227], [12.075005, 12.377372, 12.538658, 12.701463, 12.856334, 13.604124, 14.900944, 17.250784, 17.336576, 17.947535], [12.227904, 12.234859, 12.639857, 12.852150, 13.292673, 14.257338, 14.530825, 17.809465, 19.583452, 41.197476], [11.661241, 12.152336, 12.928422, 13.642413, 14.987797, 15.789138, 17.102530, 17.362800, 23.111704, 35.676469], [13.302081, 14.328942, 14.471353, 14.518264, 14.779817, 16.196320, 16.781578, 20.140289, 21.816320, 46.967485]]
### 10
fourier: [[20.408709, 21.333347, 21.796088, 22.211610, 25.825271, 27.326944, 27.369854, 27.735252, 30.739996, 38.500686]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[21.642173, 22.062490, 23.035319, 23.744807, 24.871298, 25.058843, 25.727458, 28.088171, 30.806483, 107.365927], [20.316308, 20.647768, 21.444018, 21.499306, 22.959102, 24.211244, 25.950761, 26.207712, 29.115821, 133.671984], [18.696852, 20.120676, 22.146261, 22.434897, 27.386834, 29.772452, 30.719438, 31.184833, 33.256414, 166.923937], [20.048596, 20.396828, 21.501937, 21.945364, 23.361794, 24.144142, 26.793642, 28.530997, 29.362550, 209.470519], [21.016570, 22.218787, 22.969244, 25.390010, 26.253157, 27.004800, 27.070368, 30.022048, 42.058209, 161.121031], [23.457433, 23.791222, 23.861674, 25.231258, 25.953968, 28.572807, 28.688465, 37.089115, 39.584561, 201.320418], [25.396713, 26.947801, 27.750210, 28.359244, 29.827650, 30.823037, 34.728232, 35.028681, 39.334739, 91.606960]]
### 2
fourier: [[9.496927, 9.765317, 10.212372, 10.448391, 10.507363, 11.181835, 13.391930, 13.993093, 15.808682, 58.286502], [12.704080, 12.714242, 12.947759, 13.022320, 13.036861, 14.462092, 14.528869, 15.147047, 15.551622, 52.946358], [16.337549, 16.701479, 16.703675, 17.270437, 17.758022, 19.806101, 20.502582, 21.405822, 24.198133, 68.516631], [9.276581, 9.347250, 9.594804, 9.625063, 10.244452, 10.550696, 10.871101, 14.037203, 16.850040, 111.587884], [17.914851, 18.169652, 18.334606, 18.352644, 18.963461, 19.800516, 20.167345, 20.179123, 22.513164, 162.526404], [22.176645, 22.512868, 24.953323, 25.068716, 27.512581, 27.895177, 30.786804, 36.486405, 40.176274, 192.953013], [12.129586, 12.974813, 13.275949, 13.317878, 13.356492, 13.810660, 15.470113, 17.108906, 19.890606, 47.675677]]
### 4
fourier: [[19.977759, 21.090310, 21.482459, 22.162660, 22.221389, 22.242670, 23.184170, 23.301478, 29.453976, 47.301176], [8.564800, 8.978736, 9.231816, 9.455195, 9.552555, 9.909616, 10.292759, 10.519568, 11.969138, 18.550279], [19.112248, 19.458015, 19.811282, 20.215612, 22.564882, 25.635922, 27.875698, 31.660080, 34.492925, 171.585256], [12.293040, 13.157443, 13.336918, 13.472847, 13.663768, 13.928650, 14.374768, 14.631764, 16.308014, 16.427746], [5.844740, 5.982350, 6.103423, 6.111315, 6.786022, 6.985085, 7.189064, 7.287920, 7.386647, 16.888900], [9.271317, 9.501122, 10.173533, 10.497808, 11.330711, 11.776800, 12.099458, 13.685653, 16.349384, 77.145804], [5.835957, 6.856682, 6.900176, 7.039592, 7.429041, 8.128730, 8.398292, 8.566973, 10.458987, 14.020604]]
### 6
fourier: [[10.241134, 11.071213, 11.242602, 12.406985, 12.501381, 13.767878, 14.801297, 16.858986, 19.901409, 71.084321], [17.890907, 18.658524, 18.967351, 20.075103, 20.967852, 20.980745, 21.186156, 21.796575, 24.535293, 124.409981], [4.943653, 4.981441, 5.684059, 5.886292, 6.400470, 6.538849, 6.747235, 6.778266, 10.397536, 23.589180], [19.413775, 20.202492, 20.658380, 21.073123, 21.913989, 22.167415, 22.729624, 24.472881, 25.865027, 154.139839], [2.458634, 2.465546, 2.496220, 2.833314, 3.262021, 3.263142, 3.354968, 4.214433, 4.713093, 45.987196], [14.951711, 14.986724, 15.620629, 16.044614, 16.330491, 16.691801, 17.107739, 17.127696, 17.671883, 53.148735], [13.216942, 14.595169, 15.738731, 16.098070, 17.184820, 17.357315, 18.229600, 23.600472, 25.174427, 106.981611]]
### 8
fourier: [[4.643145, 4.788652, 4.990218, 5.251058, 5.699690, 6.318479, 6.941685, 7.169963, 8.791257, 9.688504], [12.079121, 13.274019, 13.295154, 13.354696, 15.991500, 16.724158, 16.773120, 19.460586, 24.302918, 55.714434], [11.815400, 11.829042, 12.190872, 12.535330, 14.884458, 15.752005, 15.783978, 17.579082, 21.495605, 42.184227], [12.075005, 12.377372, 12.538658, 12.701463, 12.856334, 13.604124, 14.900944, 17.250784, 17.336576, 17.947535], [12.227904, 12.234859, 12.639857, 12.852150, 13.292673, 14.257338, 14.530825, 17.809465, 19.583452, 41.197476], [11.661241, 12.152336, 12.928422, 13.642413, 14.987797, 15.789138, 17.102530, 17.362800, 23.111704, 35.676469], [13.302081, 14.328942, 14.471353, 14.518264, 14.779817, 16.196320, 16.781578, 20.140289, 21.816320, 46.967485]]
### 10
fourier: [[20.408709, 21.333347, 21.796088, 22.211610, 25.825271, 27.326944, 27.369854, 27.735252, 30.739996, 38.500686]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.233609, -0.057588, -0.879758, -0.099546, 0.427292], [-0.236022, 0.449008, -0.404958, -0.684047, 0.335186], [-0.441297, -0.210993, -0.216044, 0.145254, -0.447458], [-0.076736, 0.259685, 0.282859, 0.549558, 0.203917], [-0.12439, 0.174322, 0.759916, -0.146274, 0.447345], [0.511653, 0.478724, -0.295366, 0.432144, 0.265982], [0.76637, -1.022237, -0.272255, 0.212258, 0.202292]], "network.0.bias": [0.145464, -0.110301, -0.229398, -0.071116, -0.198053, 0.090061, -0.244777], "network.2.weight": [[0.052086, -0.71225, 0.409879, -0.20028, 0.097813, 0.472827, 0.05428], [0.691499, 0.352471, -0.418841, -0.272117, -0.104079, 0.398561, 0.602229], [-0.828026, -0.405318, -0.686688, -0.090268, 0.260104, -0.53016, -0.444366], [-0.135844, 0.308273, 0.053762, 0.029136, -0.124954, -0.384491, 0.257198], [-0.147684, -0.56722, 0.725674, 0.568085, 0.364003, -0.082904, -0.219138], [-0.15879, -0.135205, 0.638091, 0.542635, -0.16839, 0.646821, 0.4335], [-0.03824, -0.565701, -0.332666, 0.338653, -0.498575, 0.14302, 0.501136]], "network.2.bias": [-0.114752, 0.246349, 0.323989, -0.278031, 0.162979, -0.312428, 0.177416], "network.4.weight": [[0.137807, 0.485399, -0.177283, -0.233765, -0.740896, 0.391245, 0.579652], [-0.482619, -0.057275, -0.068695, -0.547855, 0.294084, -0.122585, -0.205498], [0.393128, 0.003785, -0.532665, 0.510571, 0.18123, 0.635969, -0.191512], [0.112988, 0.481748, 0.017585, -0.2016, -0.536616, 0.044166, 0.226857], [0.201504, -0.307006, -0.257644, 0.783479, 0.282909, -0.205984, -0.02201], [-0.615879, -0.01007, -0.111449, -0.329963, -0.439711, 0.057666, 0.058187], [0.243339, -0.310819, 0.410698, 0.022432, 0.261603, -0.234399, 0.339097]], "network.4.bias": [0.261977, -0.075472, 0.226141, 0.243728, -0.042943, 0.099398, -0.008591], "network.6.weight": [[-0.281185, -0.098577, 0.500006, -0.44128, 0.225358, -0.142685, -0.048023], [-0.711584, 0.044923, -0.458649, 0.042794, 0.46815, -0.648277, 0.487232], [-0.389533, -0.070496, 0.279836, 0.305799, 0.044991, -0.056688, 0.018441], [-0.709763, -0.232974, -0.513604, -0.196737, 0.455791, -0.394109, 0.489995], [0.020554, 0.057755, -0.108135, 0.171175, -0.244627, -0.380111, -0.021058], [0.591322, -0.35954, -0.205956, 0.83157, 0.389617, 0.171057, -0.168282], [-0.293671, 0.155541, 0.704476, -0.408833, 0.240584, -0.256063, 0.013974]], "network.6.bias": [0.186011, -0.09916, -0.022616, -0.235784, -0.399057, 0.370547, 0.170893], "network.8.weight": [[0.043481, -0.12605, -0.149995, -0.086725, 0.315918, -0.128639, 0.302005], [0.388941, -0.447424, 0.263326, -0.304166, 0.192657, -0.375375, 0.364055], [0.367774, 0.093917, 0.187942, -0.411874, 0.536767, -0.35546, 0.363904], [-0.101974, 0.201326, -0.15547, -0.212458, 0.52632, -0.578901, 0.614692], [-0.386197, 0.327889, -0.528901, 0.35789, -0.40306, 0.554997, -0.021559], [0.353914, -0.429598, 0.393555, 0.11122, 0.284306, -0.224102, 0.389643], [-0.069763, 0.283072, -0.290227, -0.027211, -0.463031, 0.655011, -0.412991]], "network.8.bias": [-0.332665, 0.097709, 0.018483, 0.023605, 0.507535, -0.21596, 0.64328], "network.10.weight": [[-0.584736, -0.339549, -0.323582, -0.206028, 0.273945, -0.49207, 0.595265]], "network.10.bias": [0.495762]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6918268799781799, "train_acc": 0.445, "val_loss": 0.7906518578529358, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6810068786144257, "train_acc": 0.595, "val_loss": 0.7362010478973389, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.667129397392273, "train_acc": 0.51, "val_loss": 0.6384019255638123, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5981064736843109, "train_acc": 0.655, "val_loss": 0.5579602122306824, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5437856614589691, "train_acc": 0.735, "val_loss": 0.6826720237731934, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5334044396877289, "train_acc": 0.745, "val_loss": 0.49754083156585693, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.48809824883937836, "train_acc": 0.765, "val_loss": 0.45135757327079773, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4485620707273483, "train_acc": 0.785, "val_loss": 0.45203903317451477, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4238296002149582, "train_acc": 0.775, "val_loss": 0.3917558193206787, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.41794903576374054, "train_acc": 0.785, "val_loss": 0.3248578608036041, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3857963979244232, "train_acc": 0.81, "val_loss": 0.3992689549922943, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.39429445564746857, "train_acc": 0.795, "val_loss": 0.3725109398365021, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7906518578529358, "final_val_loss": 0.7362010478973389, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.6384019255638123, "final_val_loss": 0.3725109398365021, "initial_val_acc": 0.52, "final_val_acc": 0.82, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
298
|
{"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": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4262, "learning_rate": 0.05684392681675799, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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}
## Activation Signature
### 0
fourier: [[16.865355, 18.500263, 18.848477, 19.151902, 20.318600, 22.177393, 22.350313, 22.909072, 25.002043, 25.833731], [25.690208, 25.773005, 27.096016, 27.645477, 32.082372, 32.417429, 34.144045, 37.228669, 38.142635, 102.249494], [26.580819, 27.028178, 27.044458, 29.901071, 30.010194, 30.139813, 32.527469, 38.972216, 42.227421, 83.455524], [31.677968, 31.784003, 33.367463, 33.431391, 34.828793, 37.622706, 42.924625, 43.950925, 45.994527, 187.713741], [16.358052, 17.233898, 17.583941, 17.643785, 18.135906, 18.442936, 19.611932, 20.114409, 21.481700, 29.562378]]
### 2
fourier: [[55.775269, 57.737112, 60.037000, 60.240120, 64.311184, 64.870074, 69.282997, 77.906779, 81.796258, 307.783169], [10.769724, 11.164480, 11.699247, 12.484591, 12.697039, 13.099703, 13.532664, 15.292369, 15.701299, 120.729917], [49.485559, 50.589927, 53.194455, 53.438169, 55.022473, 58.278003, 58.966323, 68.858961, 70.935429, 254.256324], [31.452558, 32.109406, 32.583546, 33.166152, 36.205674, 36.865530, 39.042621, 39.089860, 45.015269, 196.195042], [24.417328, 24.655760, 24.656056, 27.707911, 29.148678, 29.544389, 29.885521, 34.730110, 37.253890, 168.945651]]
### 4
fourier: [[15.647651, 16.505582, 17.198211, 17.549342, 18.035132, 18.438195, 18.806618, 19.164540, 23.260334, 84.411626], [97.460730, 103.668127, 108.783826, 110.184267, 111.280453, 116.984445, 121.011706, 134.932502, 141.772500, 633.181030], [6.150859, 6.460306, 6.766621, 7.610727, 7.642292, 7.671641, 7.928595, 8.856041, 9.291708, 35.227217], [34.682731, 35.652978, 36.634391, 36.932334, 39.305510, 39.652887, 42.034336, 46.921473, 47.164239, 241.040087], [106.898081, 115.597729, 119.188414, 121.092681, 123.274119, 127.865331, 134.746067, 150.328109, 154.246824, 687.131382]]
### 6
fourier: [[155.713709, 169.273884, 173.402345, 176.856866, 179.541328, 186.925097, 196.033822, 218.240497, 225.329824, 984.013809], [29.606432, 30.865274, 32.819571, 33.277701, 33.361386, 35.029181, 36.572649, 40.655370, 42.389739, 196.751775], [63.418314, 66.189277, 70.371165, 71.190743, 71.547991, 75.267269, 78.133604, 86.943827, 91.172269, 422.882551], [74.649154, 78.683217, 82.835358, 84.087273, 84.336043, 88.808827, 92.278696, 102.597766, 107.281289, 488.100745], [184.407279, 199.530595, 205.785368, 209.366739, 212.183937, 221.590007, 231.589771, 257.610176, 267.044943, 1161.254387]]
### 8
fourier: [[81.523657, 88.911996, 90.943227, 92.784735, 94.317779, 98.277030, 102.748545, 113.967023, 118.269457, 523.649258], [202.821358, 221.189121, 226.305344, 230.863577, 234.664141, 244.549614, 255.629666, 283.518686, 294.289465, 1268.365124], [211.027786, 230.119721, 235.530649, 240.240904, 244.176375, 254.511162, 265.977282, 294.965010, 306.264964, 1331.110929], [186.669875, 203.586776, 208.240857, 212.456363, 215.965996, 225.033471, 235.270013, 260.956657, 270.811447, 1159.281233], [147.410574, 160.670970, 164.798510, 167.960735, 170.634365, 178.049194, 185.811812, 205.942890, 214.206535, 944.934651]]
### 10
fourier: [[358.465726, 391.905042, 399.801513, 408.254388, 415.413327, 432.935110, 452.037064, 500.568983, 520.482130, 2170.972161]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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0.034979
],
[
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],
[
0.59656,
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-0.285102,
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],
[
0.66044,
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0.457073
],
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0.067771,
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-0.226646,
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0.745162
]
],
"network.8.bias": [
-0.082988,
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-0.055211,
-0.251645,
0.131263
],
"network.10.weight": [
[
-0.384469,
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-0.791057,
-0.832905,
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],
"network.10.bias": [
0.793521
]
}
## Activation Signature
### 0
fourier: [[16.865355, 18.500263, 18.848477, 19.151902, 20.318600, 22.177393, 22.350313, 22.909072, 25.002043, 25.833731], [25.690208, 25.773005, 27.096016, 27.645477, 32.082372, 32.417429, 34.144045, 37.228669, 38.142635, 102.249494], [26.580819, 27.028178, 27.044458, 29.901071, 30.010194, 30.139813, 32.527469, 38.972216, 42.227421, 83.455524], [31.677968, 31.784003, 33.367463, 33.431391, 34.828793, 37.622706, 42.924625, 43.950925, 45.994527, 187.713741], [16.358052, 17.233898, 17.583941, 17.643785, 18.135906, 18.442936, 19.611932, 20.114409, 21.481700, 29.562378]]
### 2
fourier: [[55.775269, 57.737112, 60.037000, 60.240120, 64.311184, 64.870074, 69.282997, 77.906779, 81.796258, 307.783169], [10.769724, 11.164480, 11.699247, 12.484591, 12.697039, 13.099703, 13.532664, 15.292369, 15.701299, 120.729917], [49.485559, 50.589927, 53.194455, 53.438169, 55.022473, 58.278003, 58.966323, 68.858961, 70.935429, 254.256324], [31.452558, 32.109406, 32.583546, 33.166152, 36.205674, 36.865530, 39.042621, 39.089860, 45.015269, 196.195042], [24.417328, 24.655760, 24.656056, 27.707911, 29.148678, 29.544389, 29.885521, 34.730110, 37.253890, 168.945651]]
### 4
fourier: [[15.647651, 16.505582, 17.198211, 17.549342, 18.035132, 18.438195, 18.806618, 19.164540, 23.260334, 84.411626], [97.460730, 103.668127, 108.783826, 110.184267, 111.280453, 116.984445, 121.011706, 134.932502, 141.772500, 633.181030], [6.150859, 6.460306, 6.766621, 7.610727, 7.642292, 7.671641, 7.928595, 8.856041, 9.291708, 35.227217], [34.682731, 35.652978, 36.634391, 36.932334, 39.305510, 39.652887, 42.034336, 46.921473, 47.164239, 241.040087], [106.898081, 115.597729, 119.188414, 121.092681, 123.274119, 127.865331, 134.746067, 150.328109, 154.246824, 687.131382]]
### 6
fourier: [[155.713709, 169.273884, 173.402345, 176.856866, 179.541328, 186.925097, 196.033822, 218.240497, 225.329824, 984.013809], [29.606432, 30.865274, 32.819571, 33.277701, 33.361386, 35.029181, 36.572649, 40.655370, 42.389739, 196.751775], [63.418314, 66.189277, 70.371165, 71.190743, 71.547991, 75.267269, 78.133604, 86.943827, 91.172269, 422.882551], [74.649154, 78.683217, 82.835358, 84.087273, 84.336043, 88.808827, 92.278696, 102.597766, 107.281289, 488.100745], [184.407279, 199.530595, 205.785368, 209.366739, 212.183937, 221.590007, 231.589771, 257.610176, 267.044943, 1161.254387]]
### 8
fourier: [[81.523657, 88.911996, 90.943227, 92.784735, 94.317779, 98.277030, 102.748545, 113.967023, 118.269457, 523.649258], [202.821358, 221.189121, 226.305344, 230.863577, 234.664141, 244.549614, 255.629666, 283.518686, 294.289465, 1268.365124], [211.027786, 230.119721, 235.530649, 240.240904, 244.176375, 254.511162, 265.977282, 294.965010, 306.264964, 1331.110929], [186.669875, 203.586776, 208.240857, 212.456363, 215.965996, 225.033471, 235.270013, 260.956657, 270.811447, 1159.281233], [147.410574, 160.670970, 164.798510, 167.960735, 170.634365, 178.049194, 185.811812, 205.942890, 214.206535, 944.934651]]
### 10
fourier: [[358.465726, 391.905042, 399.801513, 408.254388, 415.413327, 432.935110, 452.037064, 500.568983, 520.482130, 2170.972161]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.418074, -0.229701, -0.049565, 0.002605, 0.596569], [0.238936, 0.863208, 0.176383, -0.076362, -0.441822], [0.774864, -0.120004, 0.244057, -0.419161, 0.034979], [0.871986, 0.359742, 0.317802, 0.187478, -0.599004], [-0.129582, -0.454917, -0.177347, 0.380821, 0.095692]], "network.0.bias": [0.588059, -0.393968, 0.527601, 0.017921, 0.097536], "network.2.weight": [[-0.60878, 0.739278, 0.579138, 0.879572, -0.627459], [-0.239735, -0.218053, -0.411393, 0.022994, 0.0103], [-0.172962, 0.062803, 0.916965, 0.964753, -0.025386], [0.12543, 0.544406, 0.87287, 0.126097, -0.341723], [-0.406475, 0.045042, 0.2626, 0.595762, 0.378041]], "network.2.bias": [0.293212, -0.403314, -0.459167, 0.04685, 0.305064], "network.4.weight": [[-0.299984, -0.199051, -0.144546, 0.338038, -0.117309], [0.782077, -0.255454, 0.559587, 0.322145, 0.928544], [-0.148746, -0.016597, 0.02627, 0.315449, 0.122666], [-0.434174, -0.051806, -0.161147, -0.340201, 0.270377], [0.778692, 0.314577, 0.441685, 0.871375, 0.9074]], "network.4.bias": [0.060229, 0.043358, -0.075424, -0.397894, -0.169232], "network.6.weight": [[0.124407, 0.528514, 0.372587, -0.229301, 0.959071], [0.098608, 0.019363, 0.269421, -0.39192, -0.304262], [0.098514, -0.276275, 0.406666, 0.076741, -0.355265], [-0.180044, -0.410909, 0.26123, 0.425209, -0.331999], [0.577067, 0.896449, 0.24633, 0.191216, 0.901871]], "network.6.bias": [-0.268049, -0.108721, -0.205765, -0.088741, -0.42443], "network.8.weight": [[-0.289765, -0.199967, -0.302214, -0.067583, -0.198487], [0.657925, -0.103517, 0.391109, 0.118306, 0.547136], [0.59656, 0.224785, 0.316318, -0.285102, 0.643775], [0.66044, 0.210571, 0.12365, -0.054972, 0.457073], [0.067771, 0.143966, -0.226646, 0.14236, 0.745162]], "network.8.bias": [-0.082988, -0.175555, -0.055211, -0.251645, 0.131263], "network.10.weight": [[-0.384469, -0.331227, -0.791057, -0.832905, 0.209166]], "network.10.bias": [0.793521]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7048117220401764, "train_acc": 0.465, "val_loss": 0.641164243221283, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6604558825492859, "train_acc": 0.55, "val_loss": 0.5903505086898804, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5767046511173248, "train_acc": 0.54, "val_loss": 0.4856056272983551, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.437526673078537, "train_acc": 0.83, "val_loss": 0.47521281242370605, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3951469361782074, "train_acc": 0.85, "val_loss": 0.5105654001235962, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3777282238006592, "train_acc": 0.86, "val_loss": 0.43052273988723755, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.37037141621112823, "train_acc": 0.86, "val_loss": 0.3927725553512573, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.32384857535362244, "train_acc": 0.895, "val_loss": 0.4638529121875763, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3339337855577469, "train_acc": 0.865, "val_loss": 0.4767371416091919, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.33753280341625214, "train_acc": 0.865, "val_loss": 0.44466206431388855, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.641164243221283, "final_val_loss": 0.5903505086898804, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4856056272983551, "final_val_loss": 0.44466206431388855, "initial_val_acc": 0.82, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.2799999999999999, "first_improvement_epoch": 1}}
|
299
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.98, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7449, "learning_rate": 0.07060440678626634, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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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
fourier: [[15.470346, 15.523175, 15.839811, 15.907989, 20.141273, 20.367367, 21.659861, 22.122730, 27.757180, 35.611961], [17.855173, 18.222466, 18.482023, 18.703328, 19.598621, 23.086123, 23.123179, 25.690794, 28.870702, 91.500557], [15.806711, 16.187318, 17.735287, 19.709238, 20.200561, 20.295976, 25.165901, 27.097324, 28.900358, 196.250148], [23.733482, 24.163202, 25.472304, 25.487466, 27.521233, 27.622580, 28.435396, 35.383379, 39.457976, 81.694529], [25.611670, 25.702398, 28.228444, 28.770762, 30.382899, 30.390441, 30.540701, 35.997954, 38.569445, 44.889567], [17.696422, 17.808869, 18.727842, 18.746919, 19.724991, 20.556851, 20.682464, 21.045771, 25.969815, 26.506033], [15.360729, 17.364432, 17.567231, 18.676792, 19.168625, 20.855639, 22.086243, 22.748898, 23.420903, 23.898470]]
### 2
fourier: [[8.030536, 8.124679, 8.805977, 9.362174, 9.672228, 9.804619, 10.761325, 10.840027, 11.681737, 130.473311], [18.675496, 19.062542, 19.865244, 20.539219, 21.396485, 22.143506, 25.930505, 26.097187, 34.252180, 74.466447], [19.202034, 19.554401, 19.882608, 22.292319, 23.311345, 23.526996, 25.348263, 27.060858, 35.456473, 136.809827], [21.553844, 22.215631, 23.080632, 24.267511, 24.964945, 25.741967, 28.763910, 28.805972, 33.060817, 34.488375], [19.975516, 21.564178, 21.660420, 22.728410, 25.014196, 25.385812, 26.573087, 27.620193, 27.925455, 112.458421], [15.614433, 15.716321, 16.337716, 16.902666, 18.294337, 18.428242, 18.729985, 18.880304, 21.350361, 43.661346], [11.209637, 12.264800, 12.381145, 12.788505, 12.844559, 12.947954, 13.812592, 15.030697, 15.573446, 20.244853]]
### 4
fourier: [[6.164034, 6.290033, 6.532112, 6.612210, 6.977718, 8.914794, 10.684519, 10.796639, 13.926041, 123.203388], [27.974695, 30.216723, 30.293822, 31.446388, 31.558010, 31.856830, 34.770477, 39.448015, 41.095577, 164.526665], [27.358341, 28.358444, 28.894550, 28.975785, 30.800676, 31.053570, 32.913687, 36.609485, 41.019573, 63.878322], [7.620678, 7.642852, 9.741159, 9.977439, 10.279431, 11.540721, 12.963666, 14.933773, 14.951041, 118.515188], [14.602865, 14.904459, 14.910679, 15.581619, 16.911145, 18.473085, 20.975672, 21.779061, 24.317410, 47.615994], [31.544838, 31.826586, 32.850657, 35.260797, 35.720344, 37.741661, 37.802486, 42.081571, 47.202589, 222.084874], [21.287912, 22.971981, 23.039950, 23.605496, 25.096688, 26.489728, 27.072716, 29.504466, 31.190844, 61.213410]]
### 6
fourier: [[22.036600, 22.681058, 24.292349, 25.425247, 27.835805, 28.364524, 29.956110, 30.161349, 31.602323, 34.055100], [8.508577, 9.105905, 9.118013, 9.487005, 9.573733, 9.825450, 11.448761, 12.267443, 12.606654, 79.276810], [11.861150, 12.023823, 12.626368, 12.636928, 13.255041, 13.261111, 13.694771, 13.782110, 14.294497, 16.761538], [18.189596, 19.026798, 19.382429, 19.546878, 19.630183, 20.547304, 20.623486, 21.701355, 21.941241, 23.743275], [51.522247, 52.866134, 53.442770, 57.997275, 61.499110, 68.645622, 70.233518, 72.122153, 73.381263, 316.055556], [34.440108, 37.521540, 38.703347, 38.852128, 39.109253, 42.897171, 44.933544, 47.358248, 50.371350, 180.998396], [60.523228, 63.098655, 64.729640, 69.192569, 71.950030, 80.782993, 80.980752, 85.193748, 87.656337, 367.556681]]
### 8
fourier: [[95.703232, 97.975877, 97.983956, 107.076240, 110.913071, 126.631242, 126.760964, 130.810021, 136.719954, 475.480037]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[15.470346, 15.523175, 15.839811, 15.907989, 20.141273, 20.367367, 21.659861, 22.122730, 27.757180, 35.611961], [17.855173, 18.222466, 18.482023, 18.703328, 19.598621, 23.086123, 23.123179, 25.690794, 28.870702, 91.500557], [15.806711, 16.187318, 17.735287, 19.709238, 20.200561, 20.295976, 25.165901, 27.097324, 28.900358, 196.250148], [23.733482, 24.163202, 25.472304, 25.487466, 27.521233, 27.622580, 28.435396, 35.383379, 39.457976, 81.694529], [25.611670, 25.702398, 28.228444, 28.770762, 30.382899, 30.390441, 30.540701, 35.997954, 38.569445, 44.889567], [17.696422, 17.808869, 18.727842, 18.746919, 19.724991, 20.556851, 20.682464, 21.045771, 25.969815, 26.506033], [15.360729, 17.364432, 17.567231, 18.676792, 19.168625, 20.855639, 22.086243, 22.748898, 23.420903, 23.898470]]
### 2
fourier: [[8.030536, 8.124679, 8.805977, 9.362174, 9.672228, 9.804619, 10.761325, 10.840027, 11.681737, 130.473311], [18.675496, 19.062542, 19.865244, 20.539219, 21.396485, 22.143506, 25.930505, 26.097187, 34.252180, 74.466447], [19.202034, 19.554401, 19.882608, 22.292319, 23.311345, 23.526996, 25.348263, 27.060858, 35.456473, 136.809827], [21.553844, 22.215631, 23.080632, 24.267511, 24.964945, 25.741967, 28.763910, 28.805972, 33.060817, 34.488375], [19.975516, 21.564178, 21.660420, 22.728410, 25.014196, 25.385812, 26.573087, 27.620193, 27.925455, 112.458421], [15.614433, 15.716321, 16.337716, 16.902666, 18.294337, 18.428242, 18.729985, 18.880304, 21.350361, 43.661346], [11.209637, 12.264800, 12.381145, 12.788505, 12.844559, 12.947954, 13.812592, 15.030697, 15.573446, 20.244853]]
### 4
fourier: [[6.164034, 6.290033, 6.532112, 6.612210, 6.977718, 8.914794, 10.684519, 10.796639, 13.926041, 123.203388], [27.974695, 30.216723, 30.293822, 31.446388, 31.558010, 31.856830, 34.770477, 39.448015, 41.095577, 164.526665], [27.358341, 28.358444, 28.894550, 28.975785, 30.800676, 31.053570, 32.913687, 36.609485, 41.019573, 63.878322], [7.620678, 7.642852, 9.741159, 9.977439, 10.279431, 11.540721, 12.963666, 14.933773, 14.951041, 118.515188], [14.602865, 14.904459, 14.910679, 15.581619, 16.911145, 18.473085, 20.975672, 21.779061, 24.317410, 47.615994], [31.544838, 31.826586, 32.850657, 35.260797, 35.720344, 37.741661, 37.802486, 42.081571, 47.202589, 222.084874], [21.287912, 22.971981, 23.039950, 23.605496, 25.096688, 26.489728, 27.072716, 29.504466, 31.190844, 61.213410]]
### 6
fourier: [[22.036600, 22.681058, 24.292349, 25.425247, 27.835805, 28.364524, 29.956110, 30.161349, 31.602323, 34.055100], [8.508577, 9.105905, 9.118013, 9.487005, 9.573733, 9.825450, 11.448761, 12.267443, 12.606654, 79.276810], [11.861150, 12.023823, 12.626368, 12.636928, 13.255041, 13.261111, 13.694771, 13.782110, 14.294497, 16.761538], [18.189596, 19.026798, 19.382429, 19.546878, 19.630183, 20.547304, 20.623486, 21.701355, 21.941241, 23.743275], [51.522247, 52.866134, 53.442770, 57.997275, 61.499110, 68.645622, 70.233518, 72.122153, 73.381263, 316.055556], [34.440108, 37.521540, 38.703347, 38.852128, 39.109253, 42.897171, 44.933544, 47.358248, 50.371350, 180.998396], [60.523228, 63.098655, 64.729640, 69.192569, 71.950030, 80.782993, 80.980752, 85.193748, 87.656337, 367.556681]]
### 8
fourier: [[95.703232, 97.975877, 97.983956, 107.076240, 110.913071, 126.631242, 126.760964, 130.810021, 136.719954, 475.480037]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.547037, 0.048337, -0.247766, 0.348481, -0.358646], [0.62374, -0.238593, 0.160352, 0.10323, -0.059535], [-0.243611, -0.089393, -0.241746, -0.217244, -0.407463], [-0.202092, -0.713443, 0.27084, 0.328022, 0.628844], [-0.71745, 0.412294, 0.181902, 0.515972, -0.475547], [-0.524589, 0.018833, 0.006324, 0.325312, 0.397781], [-0.422222, 0.587847, -0.286883, -0.222483, 0.47273]], "network.0.bias": [-0.160562, 0.192329, -0.241117, 0.414507, -0.329854, -0.388224, 0.118255], "network.2.weight": [[-0.512895, -0.024711, 0.07626, -0.253159, 0.036521, -0.125174, -0.400513], [0.256715, -0.356528, 0.259386, -0.072933, 0.726005, 0.454748, 0.387837], [0.435115, 0.025149, -0.05856, -0.324136, 0.791114, 0.57613, 0.213695], [0.53145, 0.566177, -0.164018, -0.600213, -0.23439, -0.063316, -0.467311], [-0.397803, 0.10024, 0.347353, 0.596378, 0.094782, 0.590129, 0.508606], [-0.252329, -0.032382, -0.191275, 0.415913, -0.403965, 0.272967, 0.445128], [0.162375, 0.066531, 0.163479, -0.2958, 0.491264, -0.134717, 0.054272]], "network.2.bias": [-0.431145, -0.158255, 0.277367, 0.603912, -0.112696, 0.144535, -0.20147], "network.4.weight": [[-0.134275, 0.035052, -0.427715, -0.168361, 0.115876, -0.437938, -0.095286], [0.636837, 0.409914, 0.203669, -0.518035, 0.610663, 0.634042, 0.001397], [0.238608, -0.182424, -0.433181, -0.145698, 0.703199, 0.763295, -0.461558], [0.096778, 0.26138, -0.500392, -0.383459, -0.276419, 0.009701, -0.070195], [0.433341, 0.343258, 0.364352, -0.184004, -0.134337, -0.062915, 0.227328], [-0.039936, 0.765226, 0.322013, -0.223212, 0.598276, 0.802449, 0.177136], [-0.053516, 0.060357, 0.308535, 0.621032, -0.475644, -0.467728, 0.223692]], "network.4.bias": [-0.432632, 0.176822, 0.36852, -0.133946, -0.12835, -0.127481, 0.57153], "network.6.weight": [[-0.083876, -0.072701, -0.093459, -0.398073, 0.482044, -0.551667, 0.610587], [-0.15947, 0.00292, -0.350917, -0.276448, -0.207268, -0.083293, -0.110688], [0.005364, -0.170497, 0.199471, -0.146414, 0.224372, 0.340574, -0.112248], [-0.118598, 0.053613, -0.17015, -0.022616, 0.414981, -0.3308, 0.582262], [-0.03923, 0.61368, 0.873124, -0.135127, -0.149383, 0.641643, -0.424038], [-0.356453, 0.320048, 0.439139, -0.307231, 0.137156, 0.615673, -0.089468], [0.176855, 0.679157, 0.945806, -0.032605, 0.001596, 0.838053, -0.501769]], "network.6.bias": [0.651364, -0.001177, -0.626776, 0.288438, 0.158654, -0.713162, -0.001904], "network.8.weight": [[0.738413, -9e-05, -0.154028, 0.306446, -0.898187, -0.327666, -0.548535]], "network.8.bias": [0.514472]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6818981766700745, "train_acc": 0.555, "val_loss": 0.6609668135643005, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6068162620067596, "train_acc": 0.555, "val_loss": 0.5156572461128235, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5490878820419312, "train_acc": 0.66, "val_loss": 0.41586410999298096, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.36294738948345184, "train_acc": 0.905, "val_loss": 0.22917293012142181, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2665826827287674, "train_acc": 0.91, "val_loss": 0.13229884207248688, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.27384696900844574, "train_acc": 0.92, "val_loss": 0.09841799736022949, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2759370058774948, "train_acc": 0.935, "val_loss": 0.09808468073606491, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1599290892481804, "train_acc": 0.955, "val_loss": 0.09734878689050674, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.17375840991735458, "train_acc": 0.945, "val_loss": 0.09872031956911087, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.17796743661165237, "train_acc": 0.955, "val_loss": 0.1051420047879219, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.16760186851024628, "train_acc": 0.945, "val_loss": 0.11087452620267868, "val_acc": 0.98}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6609668135643005, "final_val_loss": 0.5156572461128235, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.41586410999298096, "final_val_loss": 0.11087452620267868, "initial_val_acc": 0.94, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.48, "first_improvement_epoch": 1}}
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