code: def load_token_weight_connections_of_neuron(
      layer_index: Union[str, int],
      neuron_index: Union[str, int],
      dataset_path: str = "https://openaipublic.blob.core.windows.net/neuron-explainer/data/related-tokens/weight-based",
  ) -> WeightBasedSummaryOfNeuron:
      """Load the TokenLookupTableSummaryOfNeuron for the specified neuron."""
      url = "/".join(
          [dataset_path, str(layer_index), f"{neuron_index}.json"]
      )
      url = standardize_azure_url(url)
      with urllib.request.urlopen(url) as f:
          return loads(f.read(), backwards_compatible=False)
  
file_path: automated-interpretability/neuron-explainer/neuron_explainer/activations/token_connections.py
imports: from dataclasses import dataclass
  from typing import List, Union
  import blobfile
  from neuron_explainer.fast_dataclasses import FastDataclass, loads, register_dataclass
  from neuron_explainer.azure import standardize_azure_url
  import urllib.request
label_desc: Use image node_id 1 for calling a global function with example usage: load_token_weight_connections_of_neuron(layer_index, neuron_index, dataset_path) and returns: loads