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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
3-RES-JB
14130
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3-res-jb
Source/SAE
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Explanations
names of individuals, possibly celebrities
oai_token-act-pair · gpt-3.5-turbo
No Scores
names of individuals, particularly in entertainment or notable contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 3-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
3
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/3-res-jb/14130?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/3-res-jb/14130?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
guiName
-1.12
[/
-0.74
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-0.64
iencies
-0.62
ãĢIJ
-0.62
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-0.61
[];
-0.61
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-0.60
POSITIVE LOGITS
)
1.53
)"
1.38
),"
1.38
)—
1.36
!)
1.35
),
1.33
)."
1.33
)/
1.33
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1.32
)!
1.31
Act
ivations
Density 0.499%
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