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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
7-RES-JB
8217
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7-res-jb
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oai_token-act-pair · gpt-3.5-turbo
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specific characters or symbols that appear in relation to various contexts in the document
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 @ 7-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
7
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/7-res-jb/8217?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/7-res-jb/8217?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
romy
-0.72
Niet
-0.68
Galile
-0.66
Sapp
-0.64
polyg
-0.63
gib
-0.63
scattering
-0.62
olean
-0.61
shack
-0.61
Nept
-0.59
POSITIVE LOGITS
¹
0.98
¡
0.90
£
0.89
¬
0.89
ķ
0.87
Ĵ
0.86
Ī
0.84
ı
0.81
¦
0.79
§
0.78
Act
ivations
Density 0.153%
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