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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
8375
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MODEL
0-res-jb
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oai_token-act-pair · gpt-3.5-turbo
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oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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Intrusion Detection
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Comparing With
GPT2-SMALL @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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Negative Logits
Tent
-0.73
OP
-0.72
weed
-0.71
seed
-0.71
widow
-0.70
logger
-0.70
ED
-0.67
bush
-0.66
Op
-0.65
Whit
-0.65
POSITIVE LOGITS
Ãł
4.43
á
1.69
án
1.67
è
1.67
Ç
1.61
Ãĥ
1.59
Ãł
1.51
ã
1.51
Ã
1.41
ê
1.40
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ivations
Density 0.017%
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