Identifying Interpretable Visual Features in Artificial and Biological Neural Systems

17 October 2023

Papers citing "Identifying Interpretable Visual Features in Artificial and Biological Neural Systems"

6 / 6 papers shown

Title
Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization Grace Guinan Addison Salvador Michelle A. Smeaton Andrew Glaws Hilary Egan Brian C. Wyatt Babak Anasori K. Fiedler M. Olszta Steven Spurgeon 63 0 0 25 Feb 2025
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders Charles OÑeill David Klindt David Klindt 84 1 0 20 Nov 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 27 0 0 08 Jun 2024
Uncovering Unique Concept Vectors through Latent Space Decomposition Mara Graziani Laura Mahony An-phi Nguyen Henning Muller Vincent Andrearczyk 36 4 0 13 Jul 2023
Finding Neurons in a Haystack: Case Studies with Sparse Probing Wes Gurnee Neel Nanda Matthew Pauly Katherine Harvey Dmitrii Troitskii Dimitris Bertsimas MILM 153 186 0 02 May 2023
Toy Models of Superposition Nelson Elhage Tristan Hume Catherine Olsson Nicholas Schiefer T. Henighan ... Sam McCandlish Jared Kaplan Dario Amodei Martin Wattenberg C. Olah AAML MILM 120 316 0 21 Sep 2022