When a neural network is trained, it's essentially learning…

When a neural network is trained, it's essentially learning to encode abstract patterns and relationships in its weight matrices. These learned representations capture the essential structural properties of concepts - like what makes a "cat" a cat, or what defines "justice" - in a way that's independent of any specific instance.