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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
9612
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11-res-jb
Source/SAE
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Explanations
mathematical expressions and symbols
oai_token-act-pair · gpt-3.5-turbo
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patterns and elements related to structured data presentations, possibly mathematical or graphical layouts
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 @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
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/11-res-jb/9612?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/11-res-jb/9612?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
â̦"
-0.75
"—
-0.74
—"
-0.68
anski
-0.64
incorpor
-0.63
exerc
-0.63
depl
-0.63
advoc
-0.61
aiman
-0.61
stret
-0.60
POSITIVE LOGITS
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2.78
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2.18
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1.82
}}
1.60
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1.59
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1.51
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1.50
[|
1.45
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1.42
+---
1.37
Act
ivations
Density 0.070%
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