Two interactive visualizations take you from GPT-2 tokenization down to tensor-level LLM internals
techNmak · x · 2026-09-04
A recommendation of Brendan Bycroft's LLM Visualization: it goes deeper than most Transformer diagrams, letting you zoom from the model level down to the tensors and operations that produce the next token.
Also featured: Transformer Explainer — type your own text and watch it move through GPT-2's tokenization, embeddings, attention, MLPs, logits, softmax and next-token prediction, one of the clearest ways to make the architecture concrete.
Related event: Stop learning AI from static diagrams: a curated visual learning roadmap(13 posts)→
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