Research

Mapping the mind of a large language model

Anthropic

We have identified how millions of concepts are represented inside Claude Sonnet, one of our deployed large language models.

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Mapping the mind of a large language model
Tracing the thoughts of a large language modelAnthropic Forecasting rare language model behaviorsAnthropic Towards measuring the representation of subjective global opinions in language modelsAnthropic Red teaming language models to reduce harmsAnthropic Auditing language models for hidden objectivesAnthropic Tracing model outputs to the training dataAnthropic Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language DetectionDeepgram The Language of LGBTQ Inclusion and Allyship - Deepgram Blog ⚡️Deepgram Mind the Gap: The Chasm Between AI Fiction and Fact - Deepgram Blog ⚡️Deepgram New Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram OData or GraphQL? The Best Tech for Developing an API Is Neither or Both!Thenewstack Pkg.go.dev has a new look! - The Go Programming LanguageGo Inside the Go Playground - The Go Programming LanguageGo Real Go Projects: SmartTwitter and web.go - The Go Programming LanguageGo The App Engine SDK and workspaces (GOPATH) - The Go Programming LanguageGo Go on App Engine: tools, tests, and concurrency - The Go Programming LanguageGo The Go Memory Model - The Go Programming LanguageGo Errors are values - The Go Programming LanguageGo Using Subtests and Sub-benchmarks - The Go Programming LanguageGo Godoc: documenting Go code - The Go Programming LanguageGo