Research
Towards monosemanticity
Using dictionary learning to decompose a transformer layer into thousands of monosemantic features, a path past the polysemantic-neuron problem.
ResearchNatural Language AutoencodersAnthropic
ResearchHow Claude is accelerating protein design and analytical chemistryAnthropic
ResearchRed teaming language models to reduce harmsAnthropic
ResearchClaude is competitive with humans in (some) cyber competitionsAnthropic
ResearchTraining a helpful and harmless assistant with RLHFAnthropic
ResearchDistributed representations: Composition and superpositionAnthropic
BlogsAnnouncing Netlify Log Drains for DatadogNetlify
BlogsRefactoring towards Pure Components in ReactNetlify
ResearchRepetition In Repetition Out: Towards Understanding Neural Text Degeneration from the DataCohere
ResearchThe IOL-AI Challenge: An Open Challenge towards Advancing Linguistic ReasoningCohere
BlogsTemporal Workflows at scale with PlanetScale: Part 1Planetscale
BlogsReplit + Chroma: AI for the next billion softwareReplit
BlogsBuilding Towards a Holistic Development ServiceReplit
ResearchTowards understanding sycophancy in language modelsAnthropic
BlogsDefining the database maturity modelPlanetscale
ResourcesFlashingpine64.org
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