Transformer Explainer: interactive visualization that teaches LLM internals in your browser
blaizedsouza · x · 2026-09-23
Resurfaced here: Transformer Explainer, an interactive teaching site by Georgia Tech's Polo Club that runs a GPT-2 (124M) model entirely in the browser to demonstrate how Transformers work.
It walks through next-token prediction, embeddings, self-attention, and temperature/Top-k/Top-p sampling with live adjustable parameters. Though built on an older model, the components match modern LLM architectures, making it a solid visual primer.
More from Research
- Dettmers releases CliffCompaction: 50% token savings for million-token coding agent sessions — Tim_Dettmers · 2026-09-23
- Simons Institute hosts week-long workshop on AI agent reliability at UC Berkeley, Oct 5-9 — SharonYixuanLi · 2026-09-23
- JevBench v1.4 adds 308 evolving sealed tasks to stop benchmaxxing, now covers 70+ models — airesearch12 · 2026-09-23
- Is input-side understanding separable from output competence? Two clues — sqcai · 2026-09-23
- MiMo-V3 to get new architecture, core HySparse2 paper published on arXiv — Recoil42 · 2026-09-23
- Software developer finds first 3D aperiodic monotile, with GPT Astra's help — calabi_and_yau · 2026-09-23