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OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
GPT2-Small
Residual Post - 32k
6-RES_POST_32K-OAI
4200
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MODEL
6-res_post_32k-oai
Source/SAE
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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 @ 6-res_post_32k-oai
Configuration
jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_6.pt
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
32,768
Data Type
torch.float32
Hook Name
blocks.6.hook_resid_post
Hook Layer
6
Architecture
standard
Context Size
64
Dataset
Skylion007/openwebtext
Activation Function
topk
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IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/6-res_post_32k-oai/4200?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/6-res_post_32k-oai/4200?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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