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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
17633
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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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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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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/17633?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/11-res-jb/17633?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Manhattan
-0.74
Pilgrim
-0.69
Mous
-0.68
Schw
-0.67
Cycl
-0.66
Nam
-0.64
Moss
-0.64
Sony
-0.63
Mall
-0.62
Cameroon
-0.61
POSITIVE LOGITS
¬
1.59
ľ
1.58
ı
1.37
¼
1.33
ĺ
1.33
¯
1.29
Į
1.28
į
1.25
Ĵ
1.25
®
1.24
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ivations
Density 0.201%
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