Home› 🧠 Models ›Extracting Concepts from GPT-4… OpenAI 🧠 Models 🕐 Jun 6, 2024 👁 45 ⏱ 1 min read Extracting Concepts from GPT-4 Using new techniques for scaling sparse autoencoders, we automatically identified 16 million patterns in GPT-4's computations. Source: OpenAI — Published June 6, 2024 at 00:00 UTC — Category: Models 🔗 Read full article on OpenAI → 🏷️ Topics: GPT Share: 𝕏 Twitter in LinkedIn 💬 WhatsApp 🔗 Copy Link More in Models The Decoder21h ago UN science panel says there is "no assurance humans will keep control" over AI agents Lambda Labs22h ago From structures to dynamics: scaling AI for molecular dynamics in drug discovery The Decoder22h ago xAI launches Grok 4.7 at bargain prices, but benchmarks reveal a wide gap to Claude and GPT-6 The Decoder23h ago ByteDance launches Dramagic, a full-pipeline AI platform for producing short dramas from script to screen NVIDIA AI23h ago From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale NVIDIA AI1d ago AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack