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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
10-RES-JB
14524
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MODEL
10-res-jb
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Explanations
chemical elements or compounds
oai_token-act-pair · gpt-3.5-turbo
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terms related to scientific and technical concepts
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 @ 10-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
10
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/14524?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/10-res-jb/14524?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
'.
-0.61
.''.
-0.60
.}
-0.57
`.
-0.56
"!
-0.56
>.
-0.53
.).
-0.51
."
-0.51
".
-0.50
.�
-0.49
POSITIVE LOGITS
?,
1.04
,[
0.94
*,
0.91
!,
0.87
(),
0.87
,
0.85
+,
0.83
%,
0.82
,
0.81
®,
0.80
Act
ivations
Density 2.055%
Test
Steer
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