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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
21116
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MODEL
10-res-jb
Source/SAE
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Explanations
adjectives and phrases related to various qualities or conditions
oai_token-act-pair · gpt-3.5-turbo
No Scores
adjectives and their modifiers that describe conditions or states
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 @ 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/21116?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/21116?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
};
-0.86
',
-0.86
'.
-0.83
guiName
-0.77
.",
-0.77
."
-0.76
,"
-0.74
];
-0.71
%.
-0.71
",
-0.70
POSITIVE LOGITS
)
1.89
-)
1.62
)-
1.59
?)
1.59
)'
1.59
*)
1.58
!)
1.50
)"
1.49
)/
1.47
)*
1.42
Act
ivations
Density 0.305%
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