A research team hand-coded weights for one-layer MLPs that memorize labels for input token sequences of length two, finding that the number of facts memorized with 90% accuracy scales roughly linearly…
Researchers are applying causal mediation analysis and interventions to reverse-engineer large language models into debuggable circuits, enabling teams to localize why a model fails and sometimes edit…
A developer building an AI safety net argues that recent high-profile AI agent failures—including PocketOS deleting a production database in nine seconds and Replit's agent wiping a live database—are …
Researchers at arXiv have discovered that knowledge editing methods ROME and MEMIT, which modify factual associations in transformer models, rely on a shared functional mechanism rather than fact-spec…
This article presents a template for creating a comprehensive README.md file. It outlines essential sections including project description, installation instructions, testing guidelines, deployment no…