3 ms·
A note worth mentioning is that the PCA is not trained across the layers, but independently on each layer, across the provided examples. Nevertheless, it's con
by danm1618 3y ago
A note worth mentioning is that the PCA is not trained across the layers, but independently on each layer, across the provided examples.
Nevertheless, it's conceivable that specific layers could possess a significant control vector, but not solely because of directly leveraging the first principal component.