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A mathematical framework for Transformer Circuits

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Reverse-engineering small attention-only transformers reveals how induction heads form via head composition.

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ResearchConstitutional Classifiers: Defending against universal jailbreaksAnthropic ResearchAuditing language models for hidden objectivesAnthropic ResearchEnabling independent research on how people use ClaudeAnthropic ResearchProject Swap: What happens when agents trade for us?Anthropic ResearchForecasting rare language model behaviorsAnthropic ResearchDisempowerment patterns in real-world AI usageAnthropic ResearchSecurity Implementation for Responsible AI: A Practical FrameworkCybersecurity Exchange BlogsBuilding Digital Trust: An Empathy-Centred UX Framework For Mental Health AppsSmashingmagazine BlogsBuilding A Practical UX Strategy FrameworkSmashingmagazine ResearchBAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of ExpertsCohere NewsCloud Native Computing Foundation Announces OpenTelemetry’s Graduation, Solidifying Status as the DeCncf ResearchAssociative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-basedCohere NewsGeneral Availability of Dapr Agents Delivers Production Reliability for Enterprise AICncf BlogsHow to orchestrate AI workflows in 7 stepsZapier ResourcesDetecting the host platform in FlutterSentry BlogsRecap: Next.js Conf 2024Vercel BlogsAnnouncing the Build Output APIVercel EventsAt Next.js Conf 2022, learn to build better and scale fasterVercel ResourcesHow do I fix the error 'WebSocket is closed before the connection is established'?Sentry BlogsUsing Testcontainers on Jenkins CIDocker