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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
16302
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MODEL
11-res-jb
Source/SAE
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Explanations
words and phrases related to authority or decision-making
oai_token-act-pair · gpt-3.5-turbo
No Scores
phrases indicating uncertainty or skepticism
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/16302?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/16302?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Osw
-0.85
enegger
-0.72
Thomson
-0.72
Brist
-0.69
Yon
-0.69
airs
-0.67
Cyn
-0.67
ifications
-0.67
SN
-0.66
Tid
-0.65
POSITIVE LOGITS
¬
1.65
Ļ
1.48
¡
1.35
ı
1.32
ĵ
1.26
ħ
1.25
ª
1.24
£
1.24
¤
1.23
ĸ
1.22
Act
ivations
Density 0.381%
Test
Steer
Stacked
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No Known Activations