Circuit Fine-Tuning for Compute-Efficient Transformer Adaptation
Circuit Fine-Tuning is introduced, a compute-efficient framework that uses circuit discovery---conventionally used to explain trained models---to select modules for fine-tuning before training to isolate the response of the backbone to the target distribution rather than the preferences of a particular classifier.