--- language: en dataset_info: features: - name: text dtype: string - name: token_short dtype: string - name: token_long dtype: string - name: p_short dtype: float32 - name: p_long dtype: float32 - name: JS dtype: float32 - name: long_ids sequence: int32 - name: short_max_id dtype: int64 - name: long_max_id dtype: int64 - name: context dtype: string - name: context_ids sequence: int32 - name: p_delta_max dtype: float32 - name: logit_excite_max dtype: float32 - name: logit_inhibit_max dtype: float32 - name: batch dtype: int64 - name: sample dtype: int64 - name: start dtype: int64 splits: - name: scan num_bytes: 466393218 num_examples: 1874497 download_size: 0 dataset_size: 466393218 --- # scan_4 See https://confirmlabs.org/posts/catalog.html for details. - `text`: The long prompt text with the the first token surrounded by square brackets. - `token_short`: The model's prediction for the most likely token given the short prompt. - `token_long`: The model's prediction for the most likely token given the long prompt. - `p_short`: The model's prediction for the probability of `token_short`. - `p_long`: The model's prediction for the probability of `token_long`. - `JS`: The Jensen-Shannon divergence between the model's distribution over tokens given the short prompt and the model's distribution over tokens given the long prompt. - `long_ids`: The ids of the tokens in the long prompt. - `short_max_id`: The id of `token_short`. - `long_max_id`: The id of `token_long`. - `context`: The surrounding text of the prompt. - `context_ids`: The ids of `context`. - `p_delta_max`: The largest difference in probability for any token between the short and long prompt. - `logit_excite_max`: The largest increase in logit for any token between the short and long prompt. - `logit_inhibit_max`: The largest decrease in logit for any token between the short and long prompt. - `batch`: The batch number of the prompt. - `sample`: The sample number of the prompt. - `start`: The start index of the prompt in the sample.