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Under Peer Review · Attention SAE Research Paper
GPT2-Small
Attention Out
10-ATT-KK
7381
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MODEL
10-att-kk
Source/SAE
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Explanations
concepts related to modular robotic systems and their applications in assembly and manipulation tasks
oai_token-act-pair · gpt-4o-mini
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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 @ 10-att-kk
Configuration
ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L10_Hcat_z_lr1.20e-03_l11.30e+00_ds24576_bs4096_dc1.00e-05_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.10.attn.hook_z
Hook Layer
10
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gpt2-small/10-att-kk/7381?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/10-att-kk/7381?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.12
1:
0.16
2:
0.07
3:
0.06
4:
0.03
5:
0.01
6:
0.07
7:
0.09
8:
0.02
9:
0.03
10:
0.22
11:
0.05
Negative Logits
hex
-3.07
��
-3.04
Schwarz
-2.96
yne
-2.90
ッド
-2.77
ال
-2.77
裏�
-2.74
σ
-2.73
覚醒
-2.69
binary
-2.67
POSITIVE LOGITS
lim
8.20
Lim
7.85
Lim
6.24
lim
4.66
LIM
4.63
Lam
4.50
Lem
3.96
Cruise
3.40
Im
3.38
Slim
3.14
Act
ivations
Density 0.009%
Test
Steer
Stacked
Snippet
Full
Split DFA
Combine DFA
Show Breaks
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No Known Activations