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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
12-RES-JB
4106
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MODEL
12-res-jb
Source/SAE
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oai_token-act-pair · gpt-3.5-turbo
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oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Comparing With
GPT2-SMALL @ 12-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
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_post
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/12-res-jb/4106?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/12-res-jb/4106?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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â̦
-0.66
,
-0.66
.
-0.64
—
-0.62
—"
-0.58
...
-0.58
â̦"
-0.56
-
-0.56
straight
-0.56
ally
-0.53
POSITIVE LOGITS
teasp
1.11
pione
1.10
srf
1.09
actionDate
1.09
Ğ
1.04
Ė
1.04
ù
1.03
ą
1.03
ü
1.03
1.03
Act
ivations
Density 0.075%
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