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---
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. |