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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
8009
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
words related to physical activities and behaviors
oai_token-act-pair · gpt-3.5-turbo
No Scores
elements associated with quotations or dialogue
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 @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/11-res-jb/8009?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/8009?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Melania
-0.76
mast
-0.73
Lil
-0.73
otten
-0.72
laus
-0.72
Mel
-0.70
onut
-0.68
tor
-0.68
Melanie
-0.67
Hats
-0.67
POSITIVE LOGITS
Q
2.32
Q
2.28
Qu
2.23
Qu
2.08
qu
2.00
qu
1.95
QU
1.93
q
1.90
QU
1.86
q
1.82
Act
ivations
Density 0.302%
Test
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