class_docstr: XRAI Interpreter.
class_docstr_tok: ["XRAI","Interpreter","."]
code: def get_extra_saliency_params(
      self, config: JsonDict
  ) -> dict[str, Any]:
      return {"steps": int(config.get(INTERPOLATION_KEY, IG_STEPS))}
  
imports: import abc
  from collections.abc import Callable
  from typing import Any, NamedTuple, Optional, cast
  from absl import logging
  from lit_nlp.api import components
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.lib import image_utils
  from lit_nlp.lib import utils
  import numpy
  import saliency
label_desc: Use image node_id 2 for calling the XRAI obj's underlying member method code with example usage: obj.get_extra_saliency_params(config) and returns: dict