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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
12-RES-JB
2844
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MODEL
12-res-jb
Source/SAE
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Explanations
references to specific dates and locations in news articles
oai_token-act-pair · gpt-3.5-turbo
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phrases related to healthcare systems and their implications
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 @ 12-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
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_post
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/12-res-jb/2844?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/12-res-jb/2844?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
pione
-0.87
oun
-0.81
ART
-0.77
PF
-0.74
prime
-0.73
PF
-0.72
Pru
-0.70
Fitz
-0.69
Prime
-0.69
Fri
-0.68
POSITIVE LOGITS
dale
0.88
1978
0.83
468
0.80
478
0.78
2008
0.76
1978
0.75
ter
0.75
378
0.75
138
0.73
188
0.73
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ivations
Density 0.569%
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