What is OPG?

OPG most likely refers to 'Outer Product Graph'. In the context of machine learning and neural networks, an outer product graph is a way to represent relationships between features or neurons based on the outer product of their activations. It's commonly used for analyzing and visualizing network behavior, identifying important connections, and potentially for model compression or architecture optimization. The 'outer product' itself is a mathematical operation that, given two vectors, creates a matrix where each element represents the product of corresponding elements from the original vectors. In this case, the vectors are activation patterns.