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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
21939
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0-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
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 @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/21939?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/21939?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Clo
-0.66
bil
-0.63
Vinyl
-0.62
spending
-0.62
CC
-0.61
die
-0.60
CGI
-0.59
CF
-0.59
DC
-0.59
Da
-0.59
POSITIVE LOGITS
§
4.49
¨
1.94
¦
1.86
¢
1.81
©
1.81
¥
1.80
«
1.74
ĩ
1.74
Ĺ
1.74
ª
1.73
Act
ivations
Density 0.010%
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