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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
6-RES-JB
10405
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6-res-jb
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oai_token-act-pair · gpt-3.5-turbo
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phrases related to compliance and constraints
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 @ 6-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
6
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/6-res-jb/10405?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/6-res-jb/10405?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
enegger
-0.77
ENTS
-0.77
notes
-0.76
ouf
-0.72
pid
-0.72
posing
-0.68
ible
-0.67
ents
-0.63
jri
-0.63
ripp
-0.61
POSITIVE LOGITS
ī
1.00
ģ
0.89
ĭ
0.87
Ħ
0.81
ı
0.77
otide
0.75
¿½
0.73
Ĭ±
0.72
art
0.71
«
0.71
Act
ivations
Density 0.070%
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