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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
20004
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MODEL
11-res-jb
Source/SAE
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Explanations
mentions of specific organizations and technology-related terms
oai_token-act-pair · gpt-3.5-turbo
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terms related to lobbying and organizational activities
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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Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/20004?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
}}}
-0.58
\.
-0.57
_.
-0.57
.?
-0.56
respective
-0.56
}.
-0.55
Conclusion
-0.54
Conclusion
-0.54
};
-0.52
vre
-0.52
POSITIVE LOGITS
to
1.24
to
0.79
onto
0.79
into
0.77
TO
0.67
To
0.66
toward
0.64
To
0.64
ta
0.60
unto
0.56
Act
ivations
Density 0.828%
Test
Steer
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