An experiment is conducted on a large language model. The model processes the first half of a novel, and its internal state (the set of learned features) at the halfway point is saved. A separate, simple predictive tool is then trained using only this saved internal state. The tool's task is to predict a major plot twist that occurs in the final chapter of the novel. The tool achieves a surprisingly high accuracy. What does this outcome most strongly imply about the model's processing?

Interpreting LLM Feature Sufficiency Experiment

Comparative Analysis of LLM Feature Learning Strategies