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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
15996
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MODEL
11-res-jb
Source/SAE
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Explanations
mentions of specific medical conditions, possibly relating to psychiatric or psychological disorders
oai_token-act-pair · gpt-3.5-turbo
No Scores
references to psychological concepts or terms
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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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/15996?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/11-res-jb/15996?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Tib
-0.91
ASA
-0.86
Sebastian
-0.85
Tsu
-0.82
Sob
-0.82
279
-0.81
Sim
-0.81
Bib
-0.80
Gob
-0.80
279
-0.79
POSITIVE LOGITS
ll
1.69
ill
1.60
ell
1.60
LL
1.50
ELL
1.46
ILL
1.43
ll
1.32
illi
1.30
ills
1.28
oll
1.25
Act
ivations
Density 0.368%
Test
Steer
Stacked
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