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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
1324
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MODEL
6-res-jb
Source/SAE
INDEX
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Explanations
random combinations of characters with occasional Swedish words
oai_token-act-pair · gpt-3.5-turbo
No Scores
linguistic patterns and elements related to the letter 'n'
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
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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Plots
Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/6-res-jb/1324?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/6-res-jb/1324?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
ukong
-0.78
convol
-0.77
yip
-0.70
ãĥĻ
-0.68
rook
-0.66
VW
-0.63
女
-0.63
caps
-0.61
clicks
-0.61
BCC
-0.60
POSITIVE LOGITS
én
0.85
ó
0.77
Ãī
0.77
Ã
0.77
Ãĸ
0.77
ée
0.77
Ã
0.76
iste
0.76
é
0.75
Ä
0.75
Act
ivations
Density 0.131%
Test
Steer
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