Transformer Explainer lets you watch your text flow through GPT-2, token by token
techNmak · x · 2026-09-04
A thread on the best visual AI learning resources, headlined by Georgia Tech Polo Club's Transformer Explainer:
- Type your own text and watch it move through GPT-2 (124M params): tokenization, embeddings, self-attention, MLPs, logits, softmax and next-token prediction, with adjustable temperature, top-k and top-p.
- GPT-2 isn't state-of-the-art, but shares the same architectural components as current models, making it an ideal starting point.
- The thread also cites 3Blue1Brown and Brendan Bycroft's LLM Visualization, arguing interactive exploration beats static diagrams.
Related event: Stop learning AI from static diagrams: a curated visual learning roadmap(13 posts)→
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