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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
8593
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MODEL
11-res-jb
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Explanations
names of individuals
oai_token-act-pair · gpt-3.5-turbo
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references to specific names or places
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 @ 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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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/8593?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/11-res-jb/8593?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
bp
-0.82
ãĥĵ
-0.77
psc
-0.77
urai
-0.74
ument
-0.73
uked
-0.73
ray
-0.70
scrap
-0.69
McC
-0.69
pp
-0.68
POSITIVE LOGITS
El
2.50
El
2.31
EL
2.19
Els
2.08
el
1.99
Elm
1.55
Elk
1.53
EL
1.52
el
1.49
Elven
1.42
Act
ivations
Density 0.187%
Test
Steer
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