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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
16906
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10-res-jb
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Explanations
phrases related to adverse consequences or controversial issues
oai_token-act-pair · gpt-3.5-turbo
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elements related to actions or events
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
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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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/16906?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/16906?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Miche
-0.89
ä¿
-0.86
Micha
-0.85
Carey
-0.82
CIS
-0.81
Sik
-0.80
HTC
-0.78
Denis
-0.78
Scy
-0.77
ĨĴ
-0.76
POSITIVE LOGITS
Ball
2.18
Ball
2.17
BALL
2.01
ball
1.93
ball
1.86
balls
1.79
BALL
1.75
Balls
1.73
balls
1.56
Balloon
1.47
Act
ivations
Density 0.220%
Test
Steer
Stacked
Snippet
Full
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