Refusal

[dtch1997]

Summary by CodeRabbit

• New Features

  • Introduced new datasets for harmful instructions, categorized into training and testing sets.
  • Added functionality for downloading and preprocessing harmful and harmless instruction datasets.
  • Implemented a script for conducting experiments related to model steering with refusal direction.

• Bug Fixes

  • Refined the logic for applying steering vectors in the SteeringHook class.

• Chores

  • Updated project dependencies to include the latest version of the datasets library.

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

The pull request introduces several new JSON files containing datasets of harmful instructions, categorized into training and testing datasets. It also adds a script for downloading and preprocessing these datasets, as well as a script for running experiments related to model steering. Additionally, the pyproject.toml file is updated to include a new dependency, and modifications are made to the SteeringHook class to refine the logic for applying steering vectors.

Changes

File Path	Change Summary
assets/processed_datasets/refusal/harmful_instructions_test.json	New JSON file with a dataset of harmful instructions categorized into positive and negative prompts.
assets/raw_datasets/refusal/harmful_instructions_test.json	New JSON file containing a list of harmful instructions and illegal activities.
assets/raw_datasets/refusal/harmful_instructions_train.json	New JSON file with a list of harmful instructions promoting criminal behavior.
experiments/refusal/download_and_preprocess_datasets.py	New script for downloading, processing, and converting harmful and harmless instruction datasets.
experiments/refusal/run_experiment.py	New script for conducting experiments related to steering with a refusal direction.
pyproject.toml	Updated to include a new dependency: "datasets>=3.1.0" in the [project] section.
steering_bench/core/hook.py	Modifications to the SteeringHook class to refine the logic of the __call__ method regarding direction_multiplier.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant DatasetDownloader
    participant DatasetProcessor
    participant ExperimentRunner

    User->>DatasetDownloader: Request to download datasets
    DatasetDownloader->>DatasetProcessor: Download harmful instructions
    DatasetDownloader->>DatasetProcessor: Download harmless instructions
    DatasetProcessor->>DatasetProcessor: Process datasets
    DatasetProcessor->>ExperimentRunner: Prepare datasets for experiments
    ExperimentRunner->>ExperimentRunner: Run experiments with steering
    ExperimentRunner->>User: Return results

Loading

"In the fields where bunnies hop,
New datasets make our hearts stop!
With harmful prompts, we take a stand,
To guide our models with a gentle hand.
Let's download, preprocess, and play,
Experimenting in a whimsical way! 🐰✨"

---

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