Add 50K persistent-channel scan for Qwen/Qwen3.5-0.8B
Browse files- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/COMPLETE.json +461 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/TOP.txt +107 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/layer_features.csv +0 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/persistent_channels.csv +0 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/runtime.json +45 -0
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/COMPLETE.json
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| 1 |
+
{
|
| 2 |
+
"model": "Qwen/Qwen3.5-0.8B",
|
| 3 |
+
"complete": true,
|
| 4 |
+
"prompt_pipeline": "original_qwen35_2b_v1",
|
| 5 |
+
"sequences": 50000,
|
| 6 |
+
"n_layers": 24,
|
| 7 |
+
"hidden_size": 1024,
|
| 8 |
+
"top_channels": [
|
| 9 |
+
{
|
| 10 |
+
"model": "Qwen/Qwen3.5-0.8B",
|
| 11 |
+
"feature_index": 0,
|
| 12 |
+
"persistent_channel_score": 0.9781647439073424,
|
| 13 |
+
"layer_count": 24,
|
| 14 |
+
"layer_coverage": 1.0,
|
| 15 |
+
"near_universal_layer_fraction": 1.0,
|
| 16 |
+
"mean_universal_score": 0.9789942575398757,
|
| 17 |
+
"min_universal_score": 0.9513823416184084,
|
| 18 |
+
"min_worst_group_sign_consistency": 1.0,
|
| 19 |
+
"min_worst_group_strong_coverage": 1.0,
|
| 20 |
+
"mean_topk_coverage": 0.9999925,
|
| 21 |
+
"median_relative_strength": 105.74991198312023,
|
| 22 |
+
"median_magnitude_cv": 0.09454580501397016,
|
| 23 |
+
"cross_layer_sign_stability": 1.0,
|
| 24 |
+
"mean_activation_across_layers": -1.4796677216183642,
|
| 25 |
+
"max_abs_mean_activation": 4.426313509821892
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"model": "Qwen/Qwen3.5-0.8B",
|
| 29 |
+
"feature_index": 46,
|
| 30 |
+
"persistent_channel_score": 0.790350274573008,
|
| 31 |
+
"layer_count": 24,
|
| 32 |
+
"layer_coverage": 1.0,
|
| 33 |
+
"near_universal_layer_fraction": 0.9166666666666666,
|
| 34 |
+
"mean_universal_score": 0.9610418238310353,
|
| 35 |
+
"min_universal_score": 0.7585691828212666,
|
| 36 |
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"min_worst_group_sign_consistency": 0.6683168316831682,
|
| 37 |
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"min_worst_group_strong_coverage": 0.054455445544554455,
|
| 38 |
+
"mean_topk_coverage": 0.9753766666666666,
|
| 39 |
+
"median_relative_strength": 46.62811157857411,
|
| 40 |
+
"median_magnitude_cv": 0.12789381507762784,
|
| 41 |
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"cross_layer_sign_stability": 1.0,
|
| 42 |
+
"mean_activation_across_layers": -0.5381199727248996,
|
| 43 |
+
"max_abs_mean_activation": 1.1252467026340962
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"model": "Qwen/Qwen3.5-0.8B",
|
| 47 |
+
"feature_index": 339,
|
| 48 |
+
"persistent_channel_score": 0.5690603258576858,
|
| 49 |
+
"layer_count": 24,
|
| 50 |
+
"layer_coverage": 1.0,
|
| 51 |
+
"near_universal_layer_fraction": 0.0,
|
| 52 |
+
"mean_universal_score": 0.7498398871318336,
|
| 53 |
+
"min_universal_score": 0.25871530285570776,
|
| 54 |
+
"min_worst_group_sign_consistency": 0.5081168831168832,
|
| 55 |
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"min_worst_group_strong_coverage": 0.0,
|
| 56 |
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"mean_topk_coverage": 0.844305,
|
| 57 |
+
"median_relative_strength": 25.999979756546715,
|
| 58 |
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"median_magnitude_cv": 0.2516179158843276,
|
| 59 |
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"cross_layer_sign_stability": 0.9166666666666666,
|
| 60 |
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"mean_activation_across_layers": -0.27272408596240044,
|
| 61 |
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"max_abs_mean_activation": 0.4722764741266562
|
| 62 |
+
},
|
| 63 |
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{
|
| 64 |
+
"model": "Qwen/Qwen3.5-0.8B",
|
| 65 |
+
"feature_index": 31,
|
| 66 |
+
"persistent_channel_score": 0.5565621301958463,
|
| 67 |
+
"layer_count": 24,
|
| 68 |
+
"layer_coverage": 1.0,
|
| 69 |
+
"near_universal_layer_fraction": 0.20833333333333334,
|
| 70 |
+
"mean_universal_score": 0.7678629132496759,
|
| 71 |
+
"min_universal_score": 0.49687498576506595,
|
| 72 |
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"min_worst_group_sign_consistency": 0.5115894039735099,
|
| 73 |
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"min_worst_group_strong_coverage": 0.0,
|
| 74 |
+
"mean_topk_coverage": 0.5618325000000001,
|
| 75 |
+
"median_relative_strength": 16.644480221416227,
|
| 76 |
+
"median_magnitude_cv": 0.5956725257110209,
|
| 77 |
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"cross_layer_sign_stability": 0.9166666666666666,
|
| 78 |
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"mean_activation_across_layers": -0.17349340245790387,
|
| 79 |
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"max_abs_mean_activation": 0.5678121303138213
|
| 80 |
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},
|
| 81 |
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{
|
| 82 |
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"model": "Qwen/Qwen3.5-0.8B",
|
| 83 |
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"feature_index": 12,
|
| 84 |
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"persistent_channel_score": 0.5482989312551592,
|
| 85 |
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"layer_count": 24,
|
| 86 |
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"layer_coverage": 1.0,
|
| 87 |
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"near_universal_layer_fraction": 0.0,
|
| 88 |
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"mean_universal_score": 0.7066335998320961,
|
| 89 |
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"min_universal_score": 0.49378055764194567,
|
| 90 |
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"min_worst_group_sign_consistency": 0.5035128805620609,
|
| 91 |
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"min_worst_group_strong_coverage": 0.0,
|
| 92 |
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"mean_topk_coverage": 0.8037199999999999,
|
| 93 |
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"median_relative_strength": 28.241863619680444,
|
| 94 |
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"median_magnitude_cv": 0.4049797001619767,
|
| 95 |
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"cross_layer_sign_stability": 0.9166666666666666,
|
| 96 |
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"mean_activation_across_layers": -0.3181675080905479,
|
| 97 |
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"max_abs_mean_activation": 0.6600351499322537
|
| 98 |
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},
|
| 99 |
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{
|
| 100 |
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"model": "Qwen/Qwen3.5-0.8B",
|
| 101 |
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"feature_index": 6,
|
| 102 |
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"persistent_channel_score": 0.5473872891709067,
|
| 103 |
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"layer_count": 24,
|
| 104 |
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"layer_coverage": 1.0,
|
| 105 |
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"near_universal_layer_fraction": 0.0,
|
| 106 |
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"mean_universal_score": 0.7536719134188732,
|
| 107 |
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"min_universal_score": 0.5261454435397711,
|
| 108 |
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"min_worst_group_sign_consistency": 0.5321782178217822,
|
| 109 |
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"min_worst_group_strong_coverage": 0.0,
|
| 110 |
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"mean_topk_coverage": 0.5981016666666666,
|
| 111 |
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"median_relative_strength": 15.023487140397421,
|
| 112 |
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|
| 113 |
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"cross_layer_sign_stability": 1.0,
|
| 114 |
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"mean_activation_across_layers": 0.2055391827004769,
|
| 115 |
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"max_abs_mean_activation": 0.5097258949703789
|
| 116 |
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},
|
| 117 |
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{
|
| 118 |
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"model": "Qwen/Qwen3.5-0.8B",
|
| 119 |
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"feature_index": 9,
|
| 120 |
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"persistent_channel_score": 0.5438494178899255,
|
| 121 |
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"layer_count": 24,
|
| 122 |
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"layer_coverage": 1.0,
|
| 123 |
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"near_universal_layer_fraction": 0.0,
|
| 124 |
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"mean_universal_score": 0.6624745462412821,
|
| 125 |
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"min_universal_score": 0.2810360470436062,
|
| 126 |
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"min_worst_group_sign_consistency": 0.5,
|
| 127 |
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"min_worst_group_strong_coverage": 0.0,
|
| 128 |
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"mean_topk_coverage": 0.6571866666666667,
|
| 129 |
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"median_relative_strength": 16.11182392772484,
|
| 130 |
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"median_magnitude_cv": 0.2698947104862309,
|
| 131 |
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"cross_layer_sign_stability": 1.0,
|
| 132 |
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"mean_activation_across_layers": 0.20163713343668266,
|
| 133 |
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"max_abs_mean_activation": 0.45415106973318425
|
| 134 |
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},
|
| 135 |
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{
|
| 136 |
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"model": "Qwen/Qwen3.5-0.8B",
|
| 137 |
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"feature_index": 123,
|
| 138 |
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+
"mean_activation_across_layers": 0.11926486373031836,
|
| 439 |
+
"max_abs_mean_activation": 0.36815814828411475
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"model": "Qwen/Qwen3.5-0.8B",
|
| 443 |
+
"feature_index": 5,
|
| 444 |
+
"persistent_channel_score": 0.4460906221570915,
|
| 445 |
+
"layer_count": 24,
|
| 446 |
+
"layer_coverage": 1.0,
|
| 447 |
+
"near_universal_layer_fraction": 0.0,
|
| 448 |
+
"mean_universal_score": 0.5130861089924973,
|
| 449 |
+
"min_universal_score": 0.339751095940902,
|
| 450 |
+
"min_worst_group_sign_consistency": 0.5,
|
| 451 |
+
"min_worst_group_strong_coverage": 0.0,
|
| 452 |
+
"mean_topk_coverage": 0.2898191666666667,
|
| 453 |
+
"median_relative_strength": 12.002740463873277,
|
| 454 |
+
"median_magnitude_cv": 0.9337902446073387,
|
| 455 |
+
"cross_layer_sign_stability": 0.8333333333333334,
|
| 456 |
+
"mean_activation_across_layers": -0.10331211226640374,
|
| 457 |
+
"max_abs_mean_activation": 0.23615120761542213
|
| 458 |
+
}
|
| 459 |
+
],
|
| 460 |
+
"finished_at": "2026-10-20T11:18:19"
|
| 461 |
+
}
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/TOP.txt
ADDED
|
@@ -0,0 +1,107 @@
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|
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|
|
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|
|
|
| 1 |
+
MODEL: Qwen/Qwen3.5-0.8B
|
| 2 |
+
SEQUENCES: 50,000
|
| 3 |
+
LAYERS: 24
|
| 4 |
+
HIDDEN SIZE: 1024
|
| 5 |
+
|
| 6 |
+
TOP PERSISTENT CHANNELS
|
| 7 |
+
========================================================================================================================
|
| 8 |
+
feature= 0 score=0.978165 nearLayers=1.000 meanU=0.9790 minWGsign=1.0000 minWGstrong=1.0000 topK=1.0000 rel=105.75x CV=0.0945 signStable=1.000
|
| 9 |
+
feature= 46 score=0.790350 nearLayers=0.917 meanU=0.9610 minWGsign=0.6683 minWGstrong=0.0545 topK=0.9754 rel=46.63x CV=0.1279 signStable=1.000
|
| 10 |
+
feature= 339 score=0.569060 nearLayers=0.000 meanU=0.7498 minWGsign=0.5081 minWGstrong=0.0000 topK=0.8443 rel=26.00x CV=0.2516 signStable=0.917
|
| 11 |
+
feature= 31 score=0.556562 nearLayers=0.208 meanU=0.7679 minWGsign=0.5116 minWGstrong=0.0000 topK=0.5618 rel=16.64x CV=0.5957 signStable=0.917
|
| 12 |
+
feature= 12 score=0.548299 nearLayers=0.000 meanU=0.7066 minWGsign=0.5035 minWGstrong=0.0000 topK=0.8037 rel=28.24x CV=0.4050 signStable=0.917
|
| 13 |
+
feature= 6 score=0.547387 nearLayers=0.000 meanU=0.7537 minWGsign=0.5322 minWGstrong=0.0000 topK=0.5981 rel=15.02x CV=0.3847 signStable=1.000
|
| 14 |
+
feature= 9 score=0.543849 nearLayers=0.000 meanU=0.6625 minWGsign=0.5000 minWGstrong=0.0000 topK=0.6572 rel=16.11x CV=0.2699 signStable=1.000
|
| 15 |
+
feature= 123 score=0.541961 nearLayers=0.208 meanU=0.6827 minWGsign=0.5053 minWGstrong=0.0000 topK=0.4176 rel=13.62x CV=0.2741 signStable=0.917
|
| 16 |
+
feature= 16 score=0.541204 nearLayers=0.250 meanU=0.7197 minWGsign=0.5820 minWGstrong=0.0000 topK=0.2588 rel=10.18x CV=0.2747 signStable=0.917
|
| 17 |
+
feature= 94 score=0.540611 nearLayers=0.083 meanU=0.7122 minWGsign=0.5266 minWGstrong=0.0000 topK=0.3876 rel=12.63x CV=0.2141 signStable=1.000
|
| 18 |
+
feature= 4 score=0.534092 nearLayers=0.000 meanU=0.6891 minWGsign=0.5050 minWGstrong=0.0000 topK=0.7364 rel=25.08x CV=0.5494 signStable=0.917
|
| 19 |
+
feature= 600 score=0.527888 nearLayers=0.333 meanU=0.6626 minWGsign=0.5034 minWGstrong=0.0000 topK=0.3720 rel=11.62x CV=0.2262 signStable=0.667
|
| 20 |
+
feature= 8 score=0.514346 nearLayers=0.000 meanU=0.6203 minWGsign=0.5017 minWGstrong=0.0000 topK=0.5864 rel=15.87x CV=0.4027 signStable=0.917
|
| 21 |
+
feature= 49 score=0.508457 nearLayers=0.000 meanU=0.6789 minWGsign=0.5232 minWGstrong=0.0000 topK=0.3290 rel=12.78x CV=0.3347 signStable=1.000
|
| 22 |
+
feature= 32 score=0.495635 nearLayers=0.000 meanU=0.6644 minWGsign=0.5024 minWGstrong=0.0000 topK=0.3163 rel=11.36x CV=0.4182 signStable=1.000
|
| 23 |
+
feature= 81 score=0.472029 nearLayers=0.042 meanU=0.6045 minWGsign=0.5433 minWGstrong=0.0000 topK=0.1429 rel=8.68x CV=0.5192 signStable=1.000
|
| 24 |
+
feature= 3 score=0.467923 nearLayers=0.125 meanU=0.5476 minWGsign=0.5000 minWGstrong=0.0000 topK=0.3507 rel=3.87x CV=0.3287 signStable=0.833
|
| 25 |
+
feature= 119 score=0.464774 nearLayers=0.042 meanU=0.6008 minWGsign=0.5012 minWGstrong=0.0000 topK=0.1765 rel=8.78x CV=0.2832 signStable=0.833
|
| 26 |
+
feature= 24 score=0.462571 nearLayers=0.000 meanU=0.5599 minWGsign=0.5721 minWGstrong=0.0000 topK=0.1835 rel=8.57x CV=0.4258 signStable=0.917
|
| 27 |
+
feature= 2 score=0.454284 nearLayers=0.000 meanU=0.5167 minWGsign=0.5009 minWGstrong=0.0000 topK=0.3174 rel=9.24x CV=0.7417 signStable=0.917
|
| 28 |
+
feature= 826 score=0.453462 nearLayers=0.042 meanU=0.5271 minWGsign=0.5000 minWGstrong=0.0000 topK=0.1204 rel=6.66x CV=0.2615 signStable=0.917
|
| 29 |
+
feature= 68 score=0.451937 nearLayers=0.000 meanU=0.5353 minWGsign=0.5029 minWGstrong=0.0000 topK=0.1222 rel=7.96x CV=0.4034 signStable=1.000
|
| 30 |
+
feature= 19 score=0.451873 nearLayers=0.000 meanU=0.5545 minWGsign=0.5008 minWGstrong=0.0000 topK=0.1965 rel=9.17x CV=0.5159 signStable=0.917
|
| 31 |
+
feature= 18 score=0.449491 nearLayers=0.000 meanU=0.4882 minWGsign=0.5014 minWGstrong=0.0000 topK=0.1750 rel=8.48x CV=0.4534 signStable=1.000
|
| 32 |
+
feature= 5 score=0.446091 nearLayers=0.000 meanU=0.5131 minWGsign=0.5000 minWGstrong=0.0000 topK=0.2898 rel=12.00x CV=0.9338 signStable=0.833
|
| 33 |
+
feature= 130 score=0.442119 nearLayers=0.000 meanU=0.4963 minWGsign=0.5000 minWGstrong=0.0000 topK=0.1353 rel=6.19x CV=0.4149 signStable=1.000
|
| 34 |
+
feature= 15 score=0.436981 nearLayers=0.000 meanU=0.4725 minWGsign=0.5000 minWGstrong=0.0000 topK=0.1170 rel=6.74x CV=0.4523 signStable=1.000
|
| 35 |
+
feature= 30 score=0.436778 nearLayers=0.000 meanU=0.4935 minWGsign=0.5000 minWGstrong=0.0000 topK=0.1159 rel=7.01x CV=0.3568 signStable=0.917
|
| 36 |
+
feature= 28 score=0.435599 nearLayers=0.000 meanU=0.5096 minWGsign=0.5016 minWGstrong=0.0000 topK=0.1163 rel=7.45x CV=0.4590 signStable=0.917
|
| 37 |
+
feature= 40 score=0.435311 nearLayers=0.000 meanU=0.4834 minWGsign=0.5012 minWGstrong=0.0000 topK=0.1585 rel=5.85x CV=0.3766 signStable=0.917
|
| 38 |
+
feature= 55 score=0.432951 nearLayers=0.000 meanU=0.4823 minWGsign=0.5012 minWGstrong=0.0000 topK=0.0422 rel=6.68x CV=0.4038 signStable=1.000
|
| 39 |
+
feature= 29 score=0.431107 nearLayers=0.000 meanU=0.4704 minWGsign=0.5034 minWGstrong=0.0000 topK=0.1617 rel=6.52x CV=0.4948 signStable=0.917
|
| 40 |
+
feature= 17 score=0.430934 nearLayers=0.000 meanU=0.4973 minWGsign=0.5000 minWGstrong=0.0000 topK=0.2528 rel=8.86x CV=0.5553 signStable=0.750
|
| 41 |
+
feature= 156 score=0.430293 nearLayers=0.000 meanU=0.4835 minWGsign=0.5012 minWGstrong=0.0000 topK=0.0568 rel=5.81x CV=0.4416 signStable=1.000
|
| 42 |
+
feature= 37 score=0.425148 nearLayers=0.000 meanU=0.4646 minWGsign=0.5018 minWGstrong=0.0000 topK=0.3406 rel=6.34x CV=0.7777 signStable=0.750
|
| 43 |
+
feature= 113 score=0.421689 nearLayers=0.000 meanU=0.5002 minWGsign=0.5059 minWGstrong=0.0000 topK=0.0171 rel=5.48x CV=0.4006 signStable=0.917
|
| 44 |
+
feature= 105 score=0.420846 nearLayers=0.000 meanU=0.4489 minWGsign=0.5024 minWGstrong=0.0000 topK=0.0036 rel=5.14x CV=0.3813 signStable=1.000
|
| 45 |
+
feature= 124 score=0.420450 nearLayers=0.000 meanU=0.4577 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0531 rel=2.91x CV=0.3222 signStable=1.000
|
| 46 |
+
feature= 22 score=0.419148 nearLayers=0.000 meanU=0.4441 minWGsign=0.5000 minWGstrong=0.0000 topK=0.1555 rel=5.52x CV=0.6656 signStable=0.917
|
| 47 |
+
feature= 96 score=0.415781 nearLayers=0.000 meanU=0.4768 minWGsign=0.5009 minWGstrong=0.0000 topK=0.1091 rel=3.57x CV=0.3180 signStable=0.833
|
| 48 |
+
feature= 152 score=0.415536 nearLayers=0.000 meanU=0.4470 minWGsign=0.5016 minWGstrong=0.0000 topK=0.0324 rel=4.32x CV=0.4937 signStable=1.000
|
| 49 |
+
feature= 23 score=0.413924 nearLayers=0.000 meanU=0.4405 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0609 rel=5.44x CV=0.4689 signStable=0.917
|
| 50 |
+
feature= 25 score=0.413276 nearLayers=0.000 meanU=0.4237 minWGsign=0.5000 minWGstrong=0.0000 topK=0.1053 rel=5.49x CV=0.5642 signStable=0.917
|
| 51 |
+
feature= 465 score=0.411945 nearLayers=0.000 meanU=0.4113 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0000 rel=2.97x CV=0.2805 signStable=1.000
|
| 52 |
+
feature= 104 score=0.411830 nearLayers=0.000 meanU=0.4209 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0135 rel=4.31x CV=0.4381 signStable=1.000
|
| 53 |
+
feature= 101 score=0.411596 nearLayers=0.000 meanU=0.4298 minWGsign=0.5026 minWGstrong=0.0000 topK=0.0052 rel=4.27x CV=0.4579 signStable=1.000
|
| 54 |
+
feature= 82 score=0.409794 nearLayers=0.000 meanU=0.4382 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0037 rel=3.33x CV=0.2783 signStable=0.917
|
| 55 |
+
feature= 13 score=0.409144 nearLayers=0.000 meanU=0.3957 minWGsign=0.5008 minWGstrong=0.0000 topK=0.1818 rel=3.74x CV=0.6154 signStable=0.917
|
| 56 |
+
feature= 117 score=0.408668 nearLayers=0.000 meanU=0.4291 minWGsign=0.5012 minWGstrong=0.0000 topK=0.0003 rel=4.54x CV=0.3513 signStable=0.917
|
| 57 |
+
feature= 106 score=0.406239 nearLayers=0.000 meanU=0.4610 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0244 rel=5.07x CV=0.4041 signStable=0.833
|
| 58 |
+
feature= 14 score=0.406036 nearLayers=0.000 meanU=0.4296 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0398 rel=6.12x CV=0.2818 signStable=0.750
|
| 59 |
+
feature= 73 score=0.405277 nearLayers=0.000 meanU=0.4011 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0144 rel=3.97x CV=0.5039 signStable=1.000
|
| 60 |
+
feature= 70 score=0.402783 nearLayers=0.000 meanU=0.3908 minWGsign=0.5011 minWGstrong=0.0000 topK=0.0019 rel=3.37x CV=0.4281 signStable=1.000
|
| 61 |
+
feature= 742 score=0.401835 nearLayers=0.000 meanU=0.4112 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0001 rel=3.81x CV=0.3711 signStable=0.917
|
| 62 |
+
feature= 420 score=0.401443 nearLayers=0.000 meanU=0.4125 minWGsign=0.5017 minWGstrong=0.0000 topK=0.0004 rel=3.21x CV=0.3359 signStable=0.917
|
| 63 |
+
feature= 61 score=0.400187 nearLayers=0.000 meanU=0.4170 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0298 rel=3.71x CV=0.4852 signStable=0.917
|
| 64 |
+
feature= 161 score=0.400107 nearLayers=0.000 meanU=0.3834 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0006 rel=3.04x CV=0.4207 signStable=1.000
|
| 65 |
+
feature= 26 score=0.397896 nearLayers=0.000 meanU=0.3645 minWGsign=0.5009 minWGstrong=0.0000 topK=0.0458 rel=3.18x CV=0.5656 signStable=1.000
|
| 66 |
+
feature= 84 score=0.397637 nearLayers=0.000 meanU=0.3912 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0242 rel=4.29x CV=0.5125 signStable=0.917
|
| 67 |
+
feature= 20 score=0.396966 nearLayers=0.000 meanU=0.3697 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0125 rel=3.22x CV=0.3281 signStable=0.917
|
| 68 |
+
feature= 60 score=0.396397 nearLayers=0.000 meanU=0.3918 minWGsign=0.5010 minWGstrong=0.0000 topK=0.0028 rel=3.64x CV=0.4186 signStable=0.917
|
| 69 |
+
feature= 35 score=0.395814 nearLayers=0.000 meanU=0.3900 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0289 rel=3.53x CV=0.4754 signStable=0.917
|
| 70 |
+
feature= 90 score=0.395720 nearLayers=0.000 meanU=0.3924 minWGsign=0.5017 minWGstrong=0.0000 topK=0.0051 rel=3.60x CV=0.4390 signStable=0.917
|
| 71 |
+
feature= 122 score=0.394711 nearLayers=0.000 meanU=0.3872 minWGsign=0.5010 minWGstrong=0.0000 topK=0.0002 rel=3.10x CV=0.3796 signStable=0.917
|
| 72 |
+
feature= 62 score=0.394580 nearLayers=0.000 meanU=0.3701 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0105 rel=2.92x CV=0.5309 signStable=1.000
|
| 73 |
+
feature= 258 score=0.394034 nearLayers=0.000 meanU=0.4632 minWGsign=0.5032 minWGstrong=0.0000 topK=0.0059 rel=4.00x CV=0.3757 signStable=0.750
|
| 74 |
+
feature= 98 score=0.393165 nearLayers=0.000 meanU=0.3557 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0028 rel=3.17x CV=0.5311 signStable=1.000
|
| 75 |
+
feature= 66 score=0.393104 nearLayers=0.000 meanU=0.4322 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0644 rel=4.74x CV=0.4937 signStable=0.750
|
| 76 |
+
feature= 126 score=0.393096 nearLayers=0.000 meanU=0.3547 minWGsign=0.5017 minWGstrong=0.0000 topK=0.0013 rel=2.92x CV=0.4884 signStable=1.000
|
| 77 |
+
feature= 285 score=0.392850 nearLayers=0.000 meanU=0.3537 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0000 rel=2.16x CV=0.3747 signStable=1.000
|
| 78 |
+
feature= 203 score=0.391853 nearLayers=0.000 meanU=0.3385 minWGsign=0.5009 minWGstrong=0.0000 topK=0.0000 rel=2.23x CV=0.3639 signStable=1.000
|
| 79 |
+
feature= 139 score=0.391830 nearLayers=0.000 meanU=0.3751 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0018 rel=3.50x CV=0.4493 signStable=0.917
|
| 80 |
+
feature= 69 score=0.391344 nearLayers=0.000 meanU=0.3937 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0199 rel=4.66x CV=0.4920 signStable=0.833
|
| 81 |
+
feature= 523 score=0.391136 nearLayers=0.000 meanU=0.3059 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0002 rel=1.42x CV=0.2279 signStable=1.000
|
| 82 |
+
feature= 42 score=0.390886 nearLayers=0.000 meanU=0.3795 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0213 rel=3.32x CV=0.5268 signStable=0.917
|
| 83 |
+
feature= 47 score=0.390406 nearLayers=0.000 meanU=0.3945 minWGsign=0.5010 minWGstrong=0.0000 topK=0.0269 rel=3.74x CV=0.4397 signStable=0.833
|
| 84 |
+
feature= 54 score=0.390166 nearLayers=0.000 meanU=0.3848 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0090 rel=2.95x CV=0.4736 signStable=0.917
|
| 85 |
+
feature= 141 score=0.389401 nearLayers=0.000 meanU=0.3407 minWGsign=0.5009 minWGstrong=0.0000 topK=0.0019 rel=2.00x CV=0.2627 signStable=0.917
|
| 86 |
+
feature= 204 score=0.389342 nearLayers=0.000 meanU=0.3322 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0000 rel=2.37x CV=0.4117 signStable=1.000
|
| 87 |
+
feature= 321 score=0.389320 nearLayers=0.000 meanU=0.3414 minWGsign=0.5010 minWGstrong=0.0000 topK=0.0000 rel=2.01x CV=0.3919 signStable=1.000
|
| 88 |
+
feature= 172 score=0.388985 nearLayers=0.000 meanU=0.3862 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0006 rel=4.00x CV=0.4083 signStable=0.833
|
| 89 |
+
feature= 181 score=0.387889 nearLayers=0.000 meanU=0.3317 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0000 rel=2.06x CV=0.3978 signStable=1.000
|
| 90 |
+
feature= 324 score=0.387291 nearLayers=0.000 meanU=0.3448 minWGsign=0.5032 minWGstrong=0.0000 topK=0.0002 rel=2.25x CV=0.3242 signStable=0.917
|
| 91 |
+
feature= 531 score=0.387263 nearLayers=0.000 meanU=0.3269 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0021 rel=1.74x CV=0.2420 signStable=0.917
|
| 92 |
+
feature= 83 score=0.386082 nearLayers=0.000 meanU=0.4395 minWGsign=0.5014 minWGstrong=0.0000 topK=0.0323 rel=2.18x CV=0.3293 signStable=0.750
|
| 93 |
+
feature= 50 score=0.385483 nearLayers=0.000 meanU=0.3684 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0133 rel=3.76x CV=0.4360 signStable=0.833
|
| 94 |
+
feature= 576 score=0.385198 nearLayers=0.000 meanU=0.3155 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0004 rel=1.73x CV=0.2439 signStable=0.917
|
| 95 |
+
feature= 38 score=0.385053 nearLayers=0.208 meanU=0.4872 minWGsign=0.5000 minWGstrong=0.0000 topK=0.1076 rel=2.79x CV=0.2996 signStable=0.250
|
| 96 |
+
feature= 162 score=0.384422 nearLayers=0.000 meanU=0.3366 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0003 rel=1.74x CV=0.2897 signStable=0.917
|
| 97 |
+
feature= 881 score=0.383895 nearLayers=0.000 meanU=0.3199 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0000 rel=1.70x CV=0.3898 signStable=1.000
|
| 98 |
+
feature= 64 score=0.382486 nearLayers=0.000 meanU=0.3924 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0327 rel=4.27x CV=0.4936 signStable=0.750
|
| 99 |
+
feature= 436 score=0.382466 nearLayers=0.000 meanU=0.2924 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0006 rel=1.36x CV=0.3024 signStable=1.000
|
| 100 |
+
feature= 59 score=0.382457 nearLayers=0.000 meanU=0.3431 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0132 rel=2.74x CV=0.5068 signStable=0.917
|
| 101 |
+
feature= 426 score=0.382414 nearLayers=0.000 meanU=0.3095 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0003 rel=1.52x CV=0.2461 signStable=0.917
|
| 102 |
+
feature= 807 score=0.382146 nearLayers=0.000 meanU=0.2806 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0006 rel=1.04x CV=0.2472 signStable=1.000
|
| 103 |
+
feature= 534 score=0.381290 nearLayers=0.000 meanU=0.2912 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0006 rel=1.20x CV=0.2954 signStable=1.000
|
| 104 |
+
feature= 256 score=0.381007 nearLayers=0.000 meanU=0.3584 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0000 rel=1.72x CV=0.3916 signStable=0.917
|
| 105 |
+
feature= 790 score=0.380675 nearLayers=0.000 meanU=0.3458 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0000 rel=1.77x CV=0.3724 signStable=0.917
|
| 106 |
+
feature= 174 score=0.380538 nearLayers=0.000 meanU=0.3395 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0001 rel=1.93x CV=0.3813 signStable=0.917
|
| 107 |
+
feature= 250 score=0.378985 nearLayers=0.000 meanU=0.3730 minWGsign=0.5000 minWGstrong=0.0000 topK=0.0000 rel=2.18x CV=0.3747 signStable=0.833
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/layer_features.csv
ADDED
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analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/persistent_channels.csv
ADDED
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analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/runtime.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"model": "Qwen/Qwen3.5-0.8B",
|
| 3 |
+
"loader": "AutoModelForMultimodalLM",
|
| 4 |
+
"stack": "model.language_model.layers",
|
| 5 |
+
"n_layers": 24,
|
| 6 |
+
"hidden_size": 1024,
|
| 7 |
+
"target_sequences": 50000,
|
| 8 |
+
"batch_size": 16,
|
| 9 |
+
"max_input_tokens": 128,
|
| 10 |
+
"prompt_pipeline": "original_qwen35_2b_v1",
|
| 11 |
+
"sources": [
|
| 12 |
+
"ultrachat",
|
| 13 |
+
"fineweb_edu",
|
| 14 |
+
"openwebmath",
|
| 15 |
+
"cosmopedia_v2"
|
| 16 |
+
],
|
| 17 |
+
"formats": [
|
| 18 |
+
"raw",
|
| 19 |
+
"qa_short",
|
| 20 |
+
"user_assistant",
|
| 21 |
+
"hash_sections",
|
| 22 |
+
"xml_document",
|
| 23 |
+
"key_point",
|
| 24 |
+
"continue",
|
| 25 |
+
"next_sentence",
|
| 26 |
+
"context_answer",
|
| 27 |
+
"brackets",
|
| 28 |
+
"reader_reply",
|
| 29 |
+
"plain_instruction",
|
| 30 |
+
"title",
|
| 31 |
+
"summary",
|
| 32 |
+
"minimal",
|
| 33 |
+
"note",
|
| 34 |
+
"completion",
|
| 35 |
+
"quoted",
|
| 36 |
+
"dash",
|
| 37 |
+
"task_block"
|
| 38 |
+
],
|
| 39 |
+
"grouping": "source::format",
|
| 40 |
+
"reference_prompt_tokenizer": "Qwen/Qwen3.5-2B",
|
| 41 |
+
"seed": 3407,
|
| 42 |
+
"min_input_tokens": 48,
|
| 43 |
+
"top_fraction": 0.015625,
|
| 44 |
+
"strong_multiplier": 3.0
|
| 45 |
+
}
|