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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
7337
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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
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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 @ 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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<iframe src="https://www.neuronpedia.org/gpt2-small/0-res-jb/7337?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/0-res-jb/7337?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
`.
-1.02
`,
-0.95
alot
-0.92
doesnt
-0.89
`
-0.88
`
-0.84
dont
-0.83
didnt
-0.82
..
-0.82
colourful
-0.74
POSITIVE LOGITS
—
3.38
—"
3.03
)—
2.88
"—
2.81
.—
2.37
—-
2.37
,—
2.29
——
2.02
--
1.94
–
1.94
Act
ivations
Density 0.048%
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