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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
17760
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MODEL
11-res-jb
Source/SAE
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Explanations
phrases related to destruction and violent actions
oai_token-act-pair · gpt-3.5-turbo
No Scores
symbols or special characters
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/11-res-jb/17760?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/17760?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Bent
-0.82
Wer
-0.75
Tob
-0.74
Thomson
-0.71
Ce
-0.70
mathemat
-0.70
Cop
-0.70
photoc
-0.70
Cob
-0.69
telev
-0.69
POSITIVE LOGITS
Ļ
2.16
ħ
1.43
¤
1.38
ĺ
1.37
Ĩ
1.29
¡
1.28
ª
1.26
ı
1.26
Ĺ
1.25
ļ
1.24
Act
ivations
Density 0.371%
Test
Steer
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