Home› 🧠 Models ›Extracting Concepts from GPT-4… OpenAI 🧠 Models 🕐 Jun 6, 2024 👁 73 ⏱ 1 min read Extracting Concepts from GPT-4 Annons Annons 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 ⚡ Popular — 73 views Share: 𝕏 Twitter in LinkedIn 💬 WhatsApp 🔗 Copy Link More in Models Latent Space16h ago [AINews] Anthropic IPO: Whither Now? The Decoder23h ago Ripple-65B Preview delivers strong agentic coding results as a fully Apache 2.0 open US model The Decoder1d ago Perplexity now has its own always-on AI agent NVIDIA AI1d ago How NVIDIA Open Source Tools Are Helping Researchers Build Next-Generation 6G Networks The Decoder1d ago Frontier Radar #5: If AGI is so close, why is everyone leaving? The neolabs and their bets Latent Space1d ago Controlling Biology - Fabian Theis, Helmholtz Munich Annons Annons