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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
10849
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0-res-jb
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Explanations
words in a foreign language that are not part of the standard English alphabet
oai_token-act-pair · gpt-3.5-turbo
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specific non-Latin characters or symbols
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/10849?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/10849?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
iture
-0.68
Pers
-0.66
model
-0.66
respectively
-0.65
Pere
-0.64
net
-0.64
roll
-0.64
Cly
-0.62
PE
-0.61
Blank
-0.61
POSITIVE LOGITS
Ń
4.48
¬
2.32
®
2.09
¯
1.95
«
1.86
µ
1.79
º
1.73
³
1.72
¸
1.70
ī
1.69
Act
ivations
Density 0.001%
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