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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
17132
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0-res-jb
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Explanations
keywords related to compatibility or suitability
oai_token-act-pair · gpt-3.5-turbo
No Scores
instances of the word "fitting."
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 @ 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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/17132?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/17132?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
doc
-0.85
md
-0.80
iac
-0.76
opa
-0.66
ousands
-0.65
gm
-0.62
antis
-0.61
Monitor
-0.59
dn
-0.59
ilot
-0.59
POSITIVE LOGITS
fitting
4.02
fitting
2.71
fit
1.78
fitted
1.63
fitt
1.60
fit
1.58
fits
1.46
fits
1.39
fitted
1.36
Fit
1.19
Act
ivations
Density 0.012%
Test
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