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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
8715
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
quotations enclosed in double quotation marks
oai_token-act-pair · gpt-3.5-turbo
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punctuations and phrases indicating excitement or urgency
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 @ 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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Plots
Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/11-res-jb/8715?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/8715?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
949
-0.74
riott
-0.73
ãĥª
-0.73
arl
-0.71
oint
-0.70
arian
-0.69
Sil
-0.68
urrent
-0.68
arrell
-0.68
ully
-0.67
POSITIVE LOGITS
Go
1.93
Go
1.80
go
1.79
GO
1.70
go
1.56
GO
1.47
Goo
1.33
gone
1.24
Goes
1.17
went
1.12
Act
ivations
Density 0.155%
Test
Steer
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