code: def get_aligned_activations(layer):
      
      activation_paths = [
          PATH_TEMPLATE.format(
              sanitize(layer.model_class.name), sanitize(layer.name), page
          )
          for page in range(NUMBER_OF_PAGES)
      ]
      activations = np.vstack([load(path) for path in activation_paths])
      assert np.all(np.isfinite(activations))
      return activations
docs: Downloads 100k activations of the specified layer sampled from iterating over
      ImageNet. Activations of all layers where sampled at the same spatial positions for
      each image, allowing the calculation of correlations.