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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
1936
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10-res-jb
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words within parentheses
oai_token-act-pair · gpt-3.5-turbo
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occurrences of the word "here" and its variants
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 @ 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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/1936?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/1936?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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guiName
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":[{"
-0.76
."
-0.72
.''
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();
-0.70
({
-0.67
.''.
-0.67
ãĢIJ
-0.63
.[
-0.63
(âĪĴ
-0.63
POSITIVE LOGITS
?)
1.77
)
1.67
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1.63
-)
1.61
)."
1.58
)"
1.58
),"
1.58
)/
1.56
?).
1.55
!)
1.54
Act
ivations
Density 0.394%
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