code: def test_activations_dict_to_array(self):
      batch, position, neurons = 1, 3, 4
      actual_dict = {
          0: np.zeros((batch, position, neurons)),
          1: np.zeros((batch, position, neurons)),
      }
      activations = activations_dict_to_array(actual_dict)
      assert activations.shape == (batch, 2, neurons, position)
  
file_path: ecco/tests/lm_test.py
imports: from ecco.lm import LM, _one_hot, sample_output_token, activations_dict_to_array
  import ecco
  import torch
  import numpy
  from transformers import PreTrainedModel
label_desc: Use image node_id 4 for calling the TestLM obj's underlying member method code with example usage: obj.test_activations_dict_to_array() without return types