code: def push_activations(activations, from_layer, to_layer):
      
      inverse_covariance_matrix = layer_inverse_covariance(from_layer)
      activations_decorrelated = np.dot(inverse_covariance_matrix, activations.T).T
      covariance_matrix = layer_covariance(from_layer, to_layer)
      activation_recorrelated = np.dot(activations_decorrelated, covariance_matrix)
      return activation_recorrelated
docs: Push activations from one model to another using prerecorded correlations