
Deciphering Neuronal Universality in GPT-2 Language Models
[ad_1] As Large Language Models (LLMs) gain prominence in high-stakes applications, understanding their decision-making processes becomes crucial to mitigate potential risks. The inherent opacity of these models has fueled interpretability research, leveraging the unique advantages […]