Dialz is introduced as a Python toolkit for enhancing research on steering vectors for open-source LLMs.
It allows users to adjust activations at inference time to magnify or lessen specific concepts, offering a more effective option than prompting or fine-tuning.
Dialz supports various tasks like generating contrastive pair datasets, computing and applying steering vectors, and visualizations, focusing on modularity and usability.
The toolkit aids in reducing harmful outputs and understanding model behavior, promoting safe and controllable language generation, faster research progress, and improved AI system transparency.