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47. GPT-2 Architecture

GPT-2 is a decoder-only Transformer language model.

Its architecture contains:

  • token embeddings
  • positional embeddings
  • Transformer blocks
  • masked self-attention
  • feed-forward networks
  • residual connections
  • layer normalization
  • language-model output

Understanding the architecture makes it possible to reproduce the model structure and load compatible pretrained weights.