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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
4-RES-JB
19247
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MODEL
4-res-jb
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Explanations
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oai_token-act-pair · gpt-3.5-turbo
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punctuation and special characters in the text
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 4-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
4
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/4-res-jb/19247?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/4-res-jb/19247?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
[/
-0.98
guiName
-0.95
otine
-0.74
[/
-0.74
Redditor
-0.65
"}
-0.64
ogly
-0.64
oaded
-0.62
ettle
-0.62
ove
-0.61
POSITIVE LOGITS
):
1.35
),"
1.34
)
1.33
),
1.31
)(
1.29
)--
1.26
)"
1.26
?)
1.24
)=
1.21
?)
1.19
Act
ivations
Density 0.280%
Test
Steer
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