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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
11104
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MODEL
11-res-jb
Source/SAE
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oai_token-act-pair · gpt-3.5-turbo
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references to programming and technical terminology
oai_token-act-pair · gpt-4o-mini
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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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Negative Logits
Zel
-0.88
fres
-0.83
rake
-0.78
Grimm
-0.76
anes
-0.75
Kraken
-0.74
Kel
-0.73
Fres
-0.73
Kro
-0.72
Kron
-0.72
POSITIVE LOGITS
Int
1.75
Int
1.63
INT
1.57
INT
1.49
int
1.47
int
1.42
Inter
1.35
Inter
1.30
inter
1.25
INF
1.20
Act
ivations
Density 0.289%
Test
Steer
Stacked
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