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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
6623
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
specific years or date ranges mentioned in a text
oai_token-act-pair · gpt-3.5-turbo
No Scores
mentions of years and numeric data related to time
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/6623?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Beir
-0.66
onga
-0.66
Hog
-0.65
Bard
-0.62
Anthem
-0.60
ARM
-0.59
1840
-0.59
Hamilton
-0.59
icons
-0.57
toast
-0.57
POSITIVE LOGITS
1999
1.54
1999
1.54
1998
1.54
1998
1.50
1996
1.48
1997
1.45
1996
1.45
1997
1.44
1995
1.44
1995
1.44
Act
ivations
Density 0.065%
Test
Steer
Stacked
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No Known Activations