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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
16919
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MODEL
11-res-jb
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Explanations
terms related to finance, politics, and technology
oai_token-act-pair · gpt-3.5-turbo
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financial terms and references to economic impacts
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 @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/11-res-jb/16919?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/16919?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
.",
-1.14
.''.
-0.81
''.
-0.78
.:
-0.78
'.
-0.75
().
-0.73
.,"
-0.73
.).
-0.72
`.
-0.72
.")
-0.71
POSITIVE LOGITS
)—
1.51
)--
1.15
—
1.13
)
1.10
)-
1.09
–
1.03
--
1.01
!)
0.99
)
0.98
-
0.96
Act
ivations
Density 0.447%
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