Möbius Transform Machine LearninMaster higher-order feature interactions using the Möbius transform to move beyond simple Shapley values and optimize your RAG architecture.
Anthropic's new Natural Language Autoencoders translate opaque LLM activations into human-readable text, uncovering hidden behaviors and latent planning processes.
Anthropic's Natural Language Autoencoders (NLAs) bridge the gap between raw activation vectors and human-readable prose to decode LLM internal states.
Natural language autoencoders bridge the gap between high-dimensional math and human cognition, transforming opaque LLM activations into readable semantic insights.