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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
9-RES-JB
10889
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MODEL
9-res-jb
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Explanations
specific dates and numbers
oai_token-act-pair · gpt-3.5-turbo
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specific years and associated events or statistics
oai_token-act-pair · gpt-4o-mini
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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 @ 9-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
9
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/9-res-jb/10889?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/9-res-jb/10889?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Haku
-0.91
Hes
-0.85
nos
-0.83
hands
-0.80
ssh
-0.79
hod
-0.79
Wik
-0.78
Goth
-0.77
Fle
-0.77
osaurs
-0.76
POSITIVE LOGITS
ati
0.94
87
0.82
91
0.82
885
0.81
92
0.80
91
0.80
886
0.79
Marion
0.79
85
0.78
92
0.78
Act
ivations
Density 0.559%
Test
Steer
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