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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
10-RES-JB
15677
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10-res-jb
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Explanations
phrases related to warnings or advice
oai_token-act-pair · gpt-3.5-turbo
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Comparing With
GPT2-SMALL @ 10-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
10
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/15677?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/10-res-jb/15677?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Sok
-0.71
Brist
-0.70
mathemat
-0.70
Tid
-0.69
anwhile
-0.68
Tek
-0.66
Gan
-0.66
Mous
-0.66
Thomson
-0.65
telev
-0.64
POSITIVE LOGITS
Ļ
1.65
¬
1.52
ª
1.42
¡
1.38
ı
1.36
ħ
1.32
ĸ
1.29
Ķ
1.28
Ĵ
1.28
¤
1.24
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Density 0.362%
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