Perturbation: A simple and efficient adversarial tracer for representation learning in language models

Perturbation: A simple and efficient adversarial tracer for representation learning in language models explores A novel method to understand internal representations in language models by observing how they react to adversarial perturbations.. Commercial viability score: 3/10 in LLM Analysis.