docstr: Tests clustering when config contains a string value.
docstr_tok: ["Tests","clustering","when","config","contains","a","string","value","."]
code: def test_string_config_item(self):
      """Tests clustering when config contains a string value."""
      config = {
          salience_clustering.SALIENCE_MAPPER_KEY: "Grad L2 Norm",
          salience_clustering.N_CLUSTERS_KEY: "2",
          salience_clustering.TOP_K_TOKENS_KEY: 2,
      }
      result, *_ = self._call_classification_model_on_standard_input(
          config, "input_embs_grad"
      )
      self.assertIsNotNone(result)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import dtypes
  from lit_nlp.components import gradient_maps
  from lit_nlp.components import lime_explainer
  from lit_nlp.components import salience_clustering
  from lit_nlp.lib import testing_utils
  import numpy
label_desc: Use image node_id 9 for calling the SalienceClusteringTest obj's underlying member method code with example usage: obj.test_string_config_item() without return types