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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
4135
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MODEL
10-res-jb
Source/SAE
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oai_token-act-pair · gpt-3.5-turbo
No Scores
New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
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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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/4135?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/4135?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Thomson
-0.73
interf
-0.73
traffic
-0.68
Tinker
-0.67
photoc
-0.66
ASC
-0.65
transc
-0.64
NEC
-0.64
MET
-0.63
Jem
-0.62
POSITIVE LOGITS
Ļ
1.80
¬
1.51
¡
1.43
ı
1.43
ª
1.42
£
1.38
¥
1.36
¨
1.34
´
1.33
Ĵ
1.32
Act
ivations
Density 0.150%
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