Austin L. Davis

Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract)

Probing classifiers are a technique for understanding and modifying the operation of neural networks in which a smaller classifier is trained to use the model's internal representation to learn a related probing task. Similar to a neural electrode array, training probing classifiers can help resear…