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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
5656
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0-res-jb
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Explanations
dates or numbers in the format of 87 followed by another number
oai_token-act-pair · gpt-3.5-turbo
No Scores
numerical references or identifiers, particularly those associated with model or product numbers
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
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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IFrame
<iframe src="https://www.neuronpedia.org/gpt2-small/0-res-jb/5656?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/0-res-jb/5656?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
•
Embedding Space Digit Features
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Negative Logits
MO
-0.70
onom
-0.67
Token
-0.66
te
-0.65
antry
-0.65
sty
-0.64
Tok
-0.64
Tac
-0.63
APE
-0.62
tro
-0.62
POSITIVE LOGITS
87
1.60
37
1.58
37
1.57
57
1.52
87
1.52
67
1.51
57
1.47
177
1.46
177
1.46
77
1.45
Act
ivations
Density 0.076%
Test
Steer
Stacked
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No Known Activations