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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
10286
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6-res-jb
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Explanations
numerical identifiers or codes in a specific format
oai_token-act-pair · gpt-3.5-turbo
No Scores
numerical data and references to external links or images
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/6-res-jb/10286?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/10286?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
20439
-0.71
Rated
-0.66
igans
-0.62
abor
-0.61
hement
-0.58
Gork
-0.58
igan
-0.57
GAN
-0.56
Key
-0.56
Key
-0.55
POSITIVE LOGITS
/
1.36
/
1.31
/)
1.18
/(
1.16
/_
1.07
\/
1.05
/,
1.00
./
0.96
/?
0.96
\\
0.96
Act
ivations
Density 0.108%
Test
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