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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
16979
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11-res-jb
Source/SAE
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Explanations
statements related to politics or controversial figures
oai_token-act-pair · gpt-3.5-turbo
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phrases related to decision-making and consequences
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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/16979?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/16979?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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âĹ
-0.83
âĩ
-0.80
ãĤ´ãĥ³
-0.75
«
-0.75
¶
-0.75
âĦ¢:
-0.74
âĹ
-0.73
âĸ
-0.69
ortium
-0.69
ãĥ¯ãĥ³
-0.68
POSITIVE LOGITS
.")
1.70
,'"
1.63
..."
1.61
!'"
1.59
?'"
1.59
',"
1.55
âĢ¦"
1.54
.'"
1.52
..."
1.45
)."
1.39
Act
ivations
Density 1.014%
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