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Add 50K persistent-channel scan for Qwen/Qwen3.5-0.8B

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analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-0.8B/COMPLETE.json ADDED
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+ ],
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+ "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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
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9
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14
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15
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22
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30
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34
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35
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36
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37
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38
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39
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40
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41
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42
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43
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44
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45
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46
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47
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48
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49
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50
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51
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52
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53
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54
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55
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68
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72
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73
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91
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92
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93
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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
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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,
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+ "target_sequences": 50000,
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+ "batch_size": 16,
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+ "max_input_tokens": 128,
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+ "prompt_pipeline": "original_qwen35_2b_v1",
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+ "sources": [
12
+ "ultrachat",
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+ "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,
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+ "top_fraction": 0.015625,
44
+ "strong_multiplier": 3.0
45
+ }