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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
11338
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
names of people and locations associated with a news story
oai_token-act-pair · gpt-3.5-turbo
No Scores
references to individuals in a narrative context
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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
herself
-1.33
her
-1.14
She
-1.12
she
-1.08
kaya
-1.06
SHE
-1.03
hers
-1.01
She
-1.01
ova
-1.00
Her
-0.98
POSITIVE LOGITS
His
1.12
his
1.11
his
1.04
His
1.02
he
1.00
himself
0.99
He
0.96
He
0.93
Jr
0.87
Jr
0.85
Act
ivations
Density 0.896%
Test
Steer
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