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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
844
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0-res-jb
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references to quarterbacks
oai_token-act-pair · gpt-3.5-turbo
No Scores
references to quarterbacks in football contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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/844?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/844?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
——
-0.74
atri
-0.72
Magn
-0.67
Lauder
-0.67
Magn
-0.67
ÂŃ
-0.65
alia
-0.65
idem
-0.64
bara
-0.64
ideshow
-0.64
POSITIVE LOGITS
QB
3.30
QB
2.27
RB
2.19
WR
1.77
LB
1.54
DB
1.47
OL
1.45
DT
1.39
FB
1.36
TDs
1.36
Act
ivations
Density 0.019%
Test
Steer
Stacked
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