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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
19242
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11-res-jb
Source/SAE
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Explanations
phrases related to social, political, or environmental issues
oai_token-act-pair · gpt-3.5-turbo
No Scores
the character 'âĢ' in various contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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
<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/19242?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/19242?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
lers
-0.65
sters
-0.62
eer
-0.60
folk
-0.59
erous
-0.59
Tasman
-0.59
creen
-0.58
Catalyst
-0.57
zilla
-0.55
lands
-0.55
POSITIVE LOGITS
IJ
1.49
ij
1.42
Ĵ
1.41
ł
1.39
ª
1.23
ı
1.20
ĸ
1.20
Ļ
1.14
ľ
1.13
Ħ¢
1.11
Act
ivations
Density 0.113%
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