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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
19826
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10-res-jb
Source/SAE
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Explanations
programming code related to integer data types
oai_token-act-pair · gpt-3.5-turbo
No Scores
programming-related syntax, particularly variable declarations
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 @ 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/19826?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/19826?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Jem
-0.82
SCP
-0.77
estab
-0.73
ANN
-0.72
Tol
-0.71
TAG
-0.69
UT
-0.69
NJ
-0.68
MT
-0.67
SAN
-0.66
POSITIVE LOGITS
3
1.92
4
1.88
2
1.83
5
1.82
6
1.79
1
1.77
7
1.75
8
1.71
9
1.56
10
1.54
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Density 0.064%
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