How AI Models perceive brands – Natural Language Autoencoders
In our earlier work on monosemanticity, we connected Anthropic’s research on sparse autoencoders with a much older idea from linguistics: Frame Semantics. Frame Semantics teaches us that meaning is not just a word or an entity in isolation. Meaning emerges from a structured scene: entities, roles, relationships, expectations, and context. A brand works in a … Read more