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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
20325
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MODEL
10-res-jb
Source/SAE
INDEX
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Explanations
sequences starting and ending with special characters used for indicating sections or formatting in text
oai_token-act-pair · gpt-3.5-turbo
No Scores
a specific character or symbol frequently and its variations or representations
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
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
<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/20325?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/20325?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Sau
-0.77
Franch
-0.74
Lerner
-0.72
princ
-0.70
antip
-0.69
Nikola
-0.69
Mul
-0.69
snail
-0.68
Henri
-0.68
Nelson
-0.68
POSITIVE LOGITS
Ŀ
2.04
¡
1.47
Ł
1.42
¤
1.36
©
1.36
ª
1.36
°
1.35
ŀ
1.32
ľ
1.32
ī
1.30
Act
ivations
Density 0.209%
Test
Steer
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No Known Activations