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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
10-RES-JB
2333
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MODEL
10-res-jb
Source/SAE
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Explanations
words related to physical landscapes or difficult challenges
oai_token-act-pair · gpt-3.5-turbo
No Scores
specific nouns and action-related terms that indicate notable events or conditions
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 @ 10-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
10
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/2333?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/2333?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
anus
-0.53
uran
-0.52
aud
-0.52
©¶æ¥µ
-0.51
uum
-0.48
odox
-0.48
glomer
-0.47
berries
-0.47
çīĪ
-0.46
gur
-0.46
POSITIVE LOGITS
to
1.50
to
1.41
TO
1.14
To
1.12
To
1.11
thereto
1.10
TO
0.95
unto
0.91
toc
0.85
ta
0.82
Act
ivations
Density 0.169%
Test
Steer
Stacked
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