| # Dataset Card for gpt2_eli5_sae_features | |
| This dataset aims to create a corpus of data to help guide research into monosemantic features using SAE's. It has been generated using [this raw template](https://github.com/manik-sethi/hallucination-circuits) | |
| ## Dataset Details | |
| ### Dataset Description | |
| This dataset takes the eli5 subset from facebook/kilt_tasks and processes it to be used in SAE research. More specifically, we take the inputs, and tokenize them using the gpt2-small tokenizer. The outputs are tokenized, embedded , and encoded using the | |
| - **Curated by:** Manik Sethi | |
| - **License:** MIT | |
| ### Dataset Sources [optional] | |
| <!-- Provide the basic links for the dataset. --> | |
| - **Repository:** [hallucination_circuits](https://github.com/manik-sethi/hallucination-circuits) | |
| - **Paper:** On the way! | |
| - **Demo:** On the way! | |
| ## Uses | |
| <!-- Address questions around how the dataset is intended to be used. --> | |
| ### Direct Use | |
| <!-- This section describes suitable use cases for the dataset. --> | |
| This dataset is meant to train a multi-layer-perceptron to predict what the SAE feature activations would be in the answer for a prompt. Note that this dataset doesn't actually have the answers to the tokenized questions, but rather a ~25k long vector of activations for different features in a trained SAE. | |
| ## Dataset Structure | |
| <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> | |
| Currently, we only have the train split from the ELI5 dataset. Therefore, this dataset is very similarly structured. | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| <!-- Motivation for the creation of this dataset. --> | |
| [More Information Needed] | |
| ### Source Data | |
| The source of this data is from the subreddit "Explain Like I'm 5", or ELI5 for short. | |
| #### Data Collection and Processing | |
| <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> | |
| The inputs are tokenized prompts. The labels are tokenized, embedded, and then encoded with the given SAE layer. | |
| ## Bias, Risks, and Limitations | |
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> | |
| [More Information Needed] | |
| ### Recommendations | |
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> | |
| Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. | |
| ## Dataset Card Contact | |
| mksethi@ucdavis.edu |