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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
19540
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0-res-jb
Source/SAE
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Explanations
the name "Andrew G" or similar variations
oai_token-act-pair · gpt-3.5-turbo
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specific non-English characters or symbols
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 @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/0-res-jb/19540?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/0-res-jb/19540?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Thur
-0.73
Pow
-0.72
mix
-0.69
bows
-0.66
Flash
-0.66
Premiere
-0.65
bleach
-0.63
Think
-0.63
Beach
-0.62
printers
-0.61
POSITIVE LOGITS
ĩ
4.53
į
2.01
Ĩ
2.00
ħ
1.98
ī
1.94
ĭ
1.91
ĥ
1.82
Ī
1.81
İ
1.81
ģ
1.79
Act
ivations
Density 0.007%
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