159 citations · 252 across the 21 of their papers we have counts for
3 papers · 1 filter
gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation
Alban Puech, Matteo Mazzonelli, Celia Cintas +11
We introduce gridfm-datakit-v1, a Python library for generating realistic and diverse Power Flow (PF) and Optimal Power Flow (OPF) datasets for training Machine Learning (ML) solve…
Calibrating Lightweight Sparse Autoencoder Feature Steering
Ananya Joshi, Celia Cintas, Skyler Speakman
Sparse autoencoders (SAEs) can enable inference-time topic steering by modifying latent feature activations, but existing steering methods often fail when target-aligned features a…
Localizing Persona Representations in LLMs
Celia Cintas, Miriam Rateike, Erik Miehling +2
We present a study on how and where personas -- defined by distinct sets of human characteristics, values, and beliefs -- are encoded in the representation space of large language…