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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
496
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MODEL
9-res-jb
Source/SAE
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Explanations
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oai_token-act-pair · gpt-3.5-turbo
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references to technical specifications and product details
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/496?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/496?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Hatt
-0.89
ipp
-0.83
Hicks
-0.82
hous
-0.72
34
-0.72
HEAD
-0.69
Aid
-0.69
ank
-0.68
Inher
-0.67
414
-0.67
POSITIVE LOGITS
V
1.46
v
1.38
VE
1.30
ve
1.29
VP
1.25
Vs
1.24
vez
1.23
va
1.22
vent
1.20
vest
1.18
Act
ivations
Density 0.416%
Test
Steer
Stacked
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