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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
21382
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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-3-5-haiku-20241022
Generate
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/21382?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/21382?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
``
-1.22
Âł
-0.93
````
-0.88
`,
-0.87
``
-0.86
`.
-0.84
`
-0.82
³³³
-0.80
`
-0.78
³³
-0.74
POSITIVE LOGITS
—
3.19
âĢķ
2.17
ÂŃ
1.84
—
1.77
—"
1.51
--
1.49
â̦
1.47
.—
1.38
–
1.36
Enlarge
1.29
Act
ivations
Density 0.096%
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