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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
9785
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
mentions of political discussions or debates
oai_token-act-pair · gpt-3.5-turbo
No Scores
phrases indicating the timing or occurrence of significant events
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
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
<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/9785?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/9785?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
ãĤ´ãĥ³
-0.87
"@
-0.79
"#
-0.76
âľ
-0.76
ãĢij
-0.74
©¶æ¥µ
-0.72
%:
-0.72
"_
-0.68
ãĥĩ
-0.66
ðŁ
-0.66
POSITIVE LOGITS
[
1.47
,'"
1.30
['
1.15
,"
1.03
?'"
1.03
),"
1.00
...
0.98
..."
0.97
â̦"
0.96
,'
0.95
Act
ivations
Density 1.519%
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Steer
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