[P] Interactive 2D and 3D Visualization of GPT-2

2026-03-20 · Source: Machine Learning · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

An interactive web visualization of GPT-2 (124M) has been created, accessible at llm-visualized.com, to depict real attention scores and activations during a forward pass. This educational resource aims to illustrate fundamental Transformer architecture concepts and mechanisms, including kv-caching. The visualization combines a 3D component built with Three.js and a 2D component developed using plain HTML/CSS/JS, providing a comprehensive and interactive exploration of the model's internal processes.

Key takeaway

An interactive 2D and 3D web visualization of GPT-2 (124M) is available as an educational resource for Transformer architectures. It depicts real attention scores and activations during a forward pass, illustrating core concepts like KV-caching. This offers practical insight for AI/ML professionals and students seeking to demystify LLM internal mechanics.

Topics

• GPT-2
• Transformer Architecture
• Attention Mechanisms
• KV-Caching
• Model Visualization

Best for: AI Student, Machine Learning Engineer, Deep Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Learning.