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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
8929
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MODEL
10-res-jb
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phrases related to contrasting or opposing ideas
oai_token-act-pair · gpt-3.5-turbo
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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 @ 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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<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/8929?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/10-res-jb/8929?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
.",
-0.90
`.
-0.72
``
-0.67
mathemat
-0.66
.''.
-0.62
''.
-0.62
inav
-0.59
`
-0.59
streng
-0.56
Anth
-0.56
POSITIVE LOGITS
)—
1.97
—
1.69
—
1.44
)
1.29
!)
1.28
)--
1.25
–
1.25
âĢķ
1.21
--
1.20
)
1.19
Act
ivations
Density 0.634%
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