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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
15084
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MODEL
11-res-jb
Source/SAE
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Explanations
phrases related to personal evaluation or judgment
oai_token-act-pair · gpt-3.5-turbo
No Scores
descriptors of processes or conditions that signify negativity or difficulty
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 @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/15084?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/11-res-jb/15084?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
itta
-0.59
rued
-0.57
illi
-0.57
acers
-0.56
Figures
-0.55
iod
-0.55
adas
-0.55
END
-0.55
å§«
-0.55
WORK
-0.54
POSITIVE LOGITS
one
2.21
ones
1.95
one
1.63
ONE
1.46
One
1.36
One
1.33
Ones
1.12
ones
1.09
ONE
0.94
ONES
0.86
Act
ivations
Density 0.944%
Test
Steer
Stacked
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