class_docstr: Neuron-indexed activation data, including summary stats and notable activation records.
class_docstr_tok: ["Neuron-indexed","activation","data",",","including","summary","stats","and","notable","activation","records","."]
docstr: Validation split, typically used for evaluating explanations, either automatically with
  simulation + correlation coefficient scoring, or manually by humans. Consists of
  top-activating records and random records in a 1:1 ratio.
docstr_tok: ["Validation","split",",","typically","used","for","evaluating","explanations",",","either","automatically","with","simulation","+","correlation","coefficient","scoring",",","or","manually","by","humans",".","Consists","of","top-activating","records","and","random","records","in","a","1:1","ratio","."]
code: def valid_activation_records(
      self,
      activation_record_slice_params: ActivationRecordSliceParams,
  ) -> list[ActivationRecord]:
      """
      Validation split, typically used for evaluating explanations, either automatically with
      simulation + correlation coefficient scoring, or manually by humans. Consists of
      top-activating records and random records in a 1:1 ratio.
      """
      return (
          self.most_positive_activation_records[
              self._get_top_activation_slices(
                  activation_record_slice_params
              )["valid"]
          ]
          + self.random_sample[
              self._get_random_activation_slices(
                  activation_record_slice_params
              )["valid"]
          ]
      )
  
imports: import math
  from dataclasses import dataclass, field
  from typing import List, Optional, Union
  import urllib.request
  import blobfile
  import boostedblob
  from neuron_explainer.fast_dataclasses import FastDataclass, loads, register_dataclass
  from neuron_explainer.azure import standardize_azure_url
label_desc: Use image node_id 6 for calling the NeuronRecord obj's underlying member method code with example usage: obj.valid_activation_records(activation_record_slice_params) and returns: unknown