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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
10966
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0-res-jb
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Explanations
the number 76
oai_token-act-pair · gpt-3.5-turbo
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occurrences of the number "76" and its variations in context
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 @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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https://www.neuronpedia.org/gpt2-small/0-res-jb/10966?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Tig
-0.82
Jere
-0.77
Yo
-0.76
TY
-0.74
Jud
-0.72
Jude
-0.71
Obj
-0.71
Oss
-0.69
ques
-0.69
idation
-0.68
POSITIVE LOGITS
76
1.59
75
1.51
76
1.48
74
1.39
74
1.36
75
1.30
1975
1.27
375
1.23
73
1.20
73
1.19
Act
ivations
Density 0.071%
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Steer
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