AtP*: An efficient and scalable method for localizing LLM behaviour to
components

AtP*: An efficient and scalable method for localizing LLM behaviour to components

1 March 2024

Papers citing "AtP*: An efficient and scalable method for localizing LLM behaviour to components"

9 / 9 papers shown

Title
Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video Sonia Joseph Praneet Suresh Lorenz Hufe Edward Stevinson Robert Graham Yash Vadi Danilo Bzdok Sebastian Lapuschkin Lee Sharkey Blake A. Richards 67 0 0 28 Apr 2025
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages Jannik Brinkmann Chris Wendler Christian Bartelt Aaron Mueller 33 9 0 10 Jan 2025
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models Daking Rai Yilun Zhou Shi Feng Abulhair Saparov Ziyu Yao 44 18 0 02 Jul 2024
Finding Transformer Circuits with Edge Pruning Adithya Bhaskar Alexander Wettig Dan Friedman Danqi Chen 41 14 0 24 Jun 2024
Finding Neurons in a Haystack: Case Studies with Sparse Probing Wes Gurnee Neel Nanda Matthew Pauly Katherine Harvey Dmitrii Troitskii Dimitris Bertsimas MILM 150 170 0 02 May 2023
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model Michael Hanna Ollie Liu Alexandre Variengien LRM 167 116 0 30 Apr 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language Models Mor Geva Jasmijn Bastings Katja Filippova Amir Globerson KELM 180 152 0 28 Apr 2023
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small Kevin Wang Alexandre Variengien Arthur Conmy Buck Shlegeris Jacob Steinhardt 205 486 0 01 Nov 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 231 1,508 0 31 Dec 2020