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GPT2 Transformer Attention Block Analysis

Analysis of GPT-2 Transformer's Attention Block.

Transformers have revolutionized natural language processing with models like GPT-2. At the core of GPT-2’s architecture lies the attention mechanism, which determines how the model processes and prioritizes different tokens in a sequence.

Dependencies

transformers 
torch 

Notebook Overview

  • Visualization of Attention Patterns: Includes heatmaps and other visual aids to illustrate how GPT-2 attends to different tokens in input sequences.

  • Token Generation Process: GPT2 outputs the next token based on the preceding tokens. At each step, the attention layers dynamically compute their outputs, and highlighting how each encoded token adapts to the evolving context as it completes.

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