Learning features in pLM using sparse autoencoders
Learning features in pLM using sparse autoencoders
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We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence — whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences 30x longer than possible previously. Read more: https://openai.com/blog/sparse-transformer/ | OpenAI
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