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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
929
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
mentions of specific months and numbers
oai_token-act-pair · gpt-3.5-turbo
No Scores
references to specific dates, months, and numerical details within the text
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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 @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
24,576
Data Type
torch.float32
Hook Point
blocks.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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Negative Logits
Berk
-0.93
Chung
-0.88
Gree
-0.87
PLA
-0.83
Bok
-0.83
ela
-0.82
Braun
-0.82
Kel
-0.81
Bra
-0.80
Bra
-0.80
POSITIVE LOGITS
11
1.23
11
1.18
117
1.08
117
1.06
115
1.04
111
1.03
114
1.01
111
1.00
112
0.99
116
0.98
Act
ivations
Density 0.484%
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