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GPT2-SMALL · 6-RES_SCEFR-AJT · 9076 ｜ Neuronpedia
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Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
GPT2-Small
Residual Similar CE E2E Recon
6-RES_SCEFR-AJT
9076
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MODEL
6-res_scefr-ajt
Source/SAE
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AutoInterp Type
claude-haiku-5-5
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Top Features by Cosine Similarity
Configuration
neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-ajt
How To Load
Prompts (Dashboard)
12,288 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
46,080
Data Type
torch.float32
Hook Point
blocks.6.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
apollo-research/Skylion007-openwebtext-tokenizer-gpt2
Hook Point Layer
6
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/6-res_scefr-ajt/9076?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/6-res_scefr-ajt/9076?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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