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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
9-RES-JB
12095
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9-res-jb
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Explanations
references to outdoor natural environments
oai_token-act-pair · gpt-3.5-turbo
No Scores
references to nature and environmental issues
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 @ 9-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
9
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/9-res-jb/12095?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/9-res-jb/12095?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
anus
-0.59
bour
-0.55
uum
-0.54
uran
-0.54
aud
-0.52
ool
-0.51
alarm
-0.50
glomer
-0.50
371
-0.50
haw
-0.50
POSITIVE LOGITS
to
1.33
to
1.33
To
1.02
TO
1.01
To
0.96
thereto
0.93
TO
0.88
unto
0.81
ta
0.79
Nanto
0.76
Act
ivations
Density 0.202%
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