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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
8-RES-JB
18661
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MODEL
8-res-jb
Source/SAE
INDEX
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Explanations
complimentary statements or expressions of admiration
oai_token-act-pair · gpt-3.5-turbo
No Scores
expressions of opinions or perceptions regarding personal beauty or attractiveness
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 59
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 8-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
8
Activation Function
relu
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Link
https://www.neuronpedia.org/gpt2-small/8-res-jb/18661?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
.<
-0.78
!.
-0.77
+.
-0.72
$.
-0.70
."[
-0.67
%.
-0.64
.</
-0.63
.","
-0.62
.''.
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.""
-0.62
POSITIVE LOGITS
)]
0.73
)]
0.61
-)
0.56
?)
0.55
?),
0.55
oneliness
0.54
?)
0.54
ado
0.54
iru
0.52
infall
0.51
Act
ivations
Density 1.721%
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