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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
9697
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MODEL
10-res-jb
Source/SAE
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Explanations
phrases related to contests or competitions
oai_token-act-pair · gpt-3.5-turbo
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words and phrases related to free items and contests
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
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/9697?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/9697?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Tara
-0.99
Tas
-0.95
Tan
-0.93
Tan
-0.91
Tanz
-0.86
Salam
-0.86
Taylor
-0.86
Siri
-0.85
Tatt
-0.85
TD
-0.84
POSITIVE LOGITS
BOX
1.56
Box
1.52
box
1.48
Box
1.36
BOX
1.35
boxes
1.35
box
1.34
boxes
1.25
boxing
1.23
boxed
1.04
Act
ivations
Density 0.344%
Test
Steer
Stacked
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