How Language Models Evolve Features Through Neural Layers
Language models process info through neural layers, similar to human thought stages. Research tracks feature evolution across model depths, proposing techniques for steering behavior through manipulation.
This is a Plain English Papers summary of a research paper called Inside Language Models: New Method Tracks How AI Processes Information Through Neural Layers. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Research analyzes how features flow through language model layers Introduces methods to track and interpret features across model depths Demonstrates feature evolution patterns in large language models Proposes techniques for steering model behavior through feature manipulation Validates findings across multiple model architectu...