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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
19435
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11-res-jb
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oai_token-act-pair · gpt-3.5-turbo
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oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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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https://www.neuronpedia.org/gpt2-small/11-res-jb/19435?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
ANE
-0.81
7601
-0.75
AFB
-0.72
Rhodes
-0.72
$.
-0.71
uary
-0.69
kefeller
-0.68
$,
-0.68
Mike
-0.67
Pegasus
-0.66
POSITIVE LOGITS
âĢ
2.68
âĢ
1.82
â
1.45
**
1.42
âĸº
1.39
ãĢ
1.38
âĶ
1.37
âĢł
1.32
Å
1.32
¶
1.29
Act
ivations
Density 3.393%
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