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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
16249
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0-res-jb
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Explanations
variations of ASCII art
oai_token-act-pair · gpt-3.5-turbo
No Scores
occurrences of symbolic representations or formatting elements in the content
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
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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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/16249?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/16249?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Grey
-0.90
Gal
-0.85
Lebanese
-0.84
Gard
-0.82
Grey
-0.81
Yemeni
-0.80
Gal
-0.74
McGill
-0.74
Senegal
-0.73
Cant
-0.73
POSITIVE LOGITS
__
2.49
init
1.53
init
1.44
__
1.44
Vij
1.30
/*
1.21
/*
1.20
racket
1.18
/**
1.18
)(
1.11
Act
ivations
Density 0.056%
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