Research
Circuits Updates — May 2023
Research
Interpretability Dreams
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Anthropic Raises $450 Million in Series C Funding to Scale Reliable AI Products
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Zoom Partnership and Investment in Anthropic
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Introducing 100K Context Windows
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Claude’s Constitution
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Distributed Representations: Composition & Superposition
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Partnering with Scale to Bring Generative AI to Enterprises
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An AI Policy Tool for Today: Ambitiously Invest in NIST
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Claude, now in Slack
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Privileged Bases in the Transformer Residual Stream
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Introducing Claude
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Core Views on AI Safety: When, Why, What, and How
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The Capacity for Moral Self-Correction in Large Language Models
Company
Anthropic Partners with Google Cloud
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Superposition, Memorization, and Double Descent
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Discovering Language Model Behaviors with Model-Written Evaluations
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Constitutional AI: Harmlessness from AI Feedback
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Measuring Progress on Scalable Oversight for Large Language Models
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Toy Models of Superposition
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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
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Language Models (Mostly) Know What They Know
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Softmax Linear Units
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Scaling Laws and Interpretability of Learning from Repeated Data
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Anthropic Raises Series B to Build Steerable, Interpretable, Robust AI Systems
Research
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
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In-context Learning and Induction Heads
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Predictability and Surprise in Large Generative Models
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A Mathematical Framework for Transformer Circuits
Research
A General Language Assistant as a Laboratory for Alignment
Company
Anthropic raises $124 million to build more reliable, general AI systems