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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
9-RES-JB
21316
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9-res-jb
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Explanations
numerical patterns and programming terms
oai_token-act-pair · gpt-3.5-turbo
No Scores
numerical values with a focus on time or sequences
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 9-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
9
Activation Function
relu
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<iframe src=https://www.neuronpedia.org/gpt2-small/9-res-jb/21316?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/9-res-jb/21316?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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