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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
22528
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MODEL
11-res-jb
Source/SAE
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Explanations
prices and numerical values in a specific format
oai_token-act-pair · gpt-3.5-turbo
No Scores
numerical values associated with measurements or statistics
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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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https://www.neuronpedia.org/gpt2-small/11-res-jb/22528?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
65
-0.69
75
-0.68
70
-0.67
60
-0.67
72
-0.66
Mechdragon
-0.65
80
-0.64
Pigs
-0.63
bots
-0.62
stout
-0.62
POSITIVE LOGITS
08
1.49
04
1.47
06
1.46
05
1.45
09
1.45
075
1.45
07
1.44
008
1.44
019
1.43
024
1.43
Act
ivations
Density 0.084%
Test
Steer
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