code: def load_activations_from_json_file(filename):
      """
      Read the activations from the disk
      :param filename: filename to read the activations from (JSON format)
      :return: activations (dict mapping layers)
      """
      with open(filename, "r") as r:
          d = json.load(r, object_pairs_hook=OrderedDict)
          activations = OrderedDict(
              {k: np.array(v) for k, v in d.items()}
          )
          return activations
  
imports: import json
  import os
  from collections import OrderedDict
  import numpy
  import tensorflow
  import tensorflow.keras.backend
  from tensorflow.keras import Sequential
  from tensorflow.keras.models import Model
label_desc: Use image node_id 14 for calling a global function with example usage: load_activations_from_json_file(filename) and returns: activations