5 citations · 6 across the 4 of their papers we have counts for
4 papers
Electrodrying in nanopores: from fundamentals to iontronic and memristive applications
Giovanni Di Muccio, Gonçalo Paulo, Lorenzo Iannetti +3
Iontronics is a burgeoning paradigm that employs ions in solution as information carriers for sensing and computing, e.g., in neuromorphic devices. The fundamentally different work…
When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research
Guijin Son, Jiwoo Hong, Honglu Fan +8
Recent advances in large language models (LLMs) have fueled the vision of automated scientific discovery, often called AI Co-Scientists. To date, prior work casts these systems as…
Transcoders Beat Sparse Autoencoders for Interpretability
Gonçalo Paulo, Stepan Shabalin, Nora Belrose
Sparse autoencoders (SAEs) extract human-interpretable features from deep neural networks by transforming their activations into a sparse, higher dimensional latent space, and then…
Sparse Autoencoders Trained on the Same Data Learn Different Features
Gonçalo Paulo, Nora Belrose
Sparse autoencoders (SAEs) are a useful tool for uncovering human-interpretable features in the activations of large language models (LLMs). While some expect SAEs to find the true…