Summary:
- The article details Anthropic’s research into "Project Swap," a technique designed to improve the steerability and safety of large language models by modifying their internal activations.
- It explores how researchers can identify and manipulate specific "features" within a model's neural network to change its behavior or output style without requiring extensive fine-tuning.