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Home
Under Peer Review · Attention SAE Research Paper
GPT2-Small
Attention Out
9-ATT-KK
20371
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MODEL
9-att-kk
Source/SAE
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Explanations
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 9-att-kk
Configuration
ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L9_Hcat_z_lr1.20e-03_l11.20e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
How To Load
Prompts (Dashboard)
36,864 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
24,576
Data Type
float32
Hook Name
blocks.9.attn.hook_z
Hook Layer
9
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gpt2-small/9-att-kk/20371?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/9-att-kk/20371?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.08
1:
0.07
2:
0.09
3:
0.07
4:
0.08
5:
0.08
6:
0.08
7:
0.08
8:
0.08
9:
0.08
10:
0.08
11:
0.09
Negative Logits
女
-2.93
writ
-2.65
='
-2.60
dstg
-2.55
obedient
-2.52
Yuan
-2.45
——
-2.43
raid
-2.43
Herm
-2.40
raids
-2.38
POSITIVE LOGITS
89
2.86
94
2.84
93
2.71
92
2.61
96
2.58
86
2.56
79
2.56
95
2.55
88
2.54
90
2.53
Act
ivations
Density 0.000%
Test
Steer
Stacked
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