Functional Faithfulness in the Wild: Circuit Discovery with Differentiable Computation Graph Pruning

4 July 2024

Zining Zhu

Papers citing "Functional Faithfulness in the Wild: Circuit Discovery with Differentiable Computation Graph Pruning"

22 / 22 papers shown

Title
Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning Jingcheng Niu Subhabrata Dutta Ahmed Elshabrawy Harish Tayyar Madabushi Iryna Gurevych 110 1 0 16 May 2025
Knowledge Circuits in Pretrained Transformers Yunzhi Yao Ningyu Zhang Zekun Xi Meng Wang Ziwen Xu Shumin Deng Huajun Chen KELM 114 23 0 28 May 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models Asma Ghandeharioun Avi Caciularu Adam Pearce Lucas Dixon Mor Geva 94 113 0 11 Jan 2024
Linearity of Relation Decoding in Transformer Language Models Evan Hernandez Arnab Sen Sharma Tal Haklay Kevin Meng Martin Wattenberg Jacob Andreas Yonatan Belinkov David Bau KELM 72 98 0 17 Aug 2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca Zhengxuan Wu Atticus Geiger Thomas Icard Christopher Potts Noah D. Goodman MILM 75 92 0 15 May 2023
Interpreting Neural Networks through the Polytope Lens Sid Black Lee D. Sharkey Léo Grinsztajn Eric Winsor Daniel A. Braun ... Kip Parker Carlos Ramón Guevara Beren Millidge Gabriel Alfour Connor Leahy FAtt MILM 57 26 0 22 Nov 2022
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 316 514 0 24 Sep 2022
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 121 623 0 15 Feb 2022
Locating and Editing Factual Associations in GPT Kevin Meng David Bau A. Andonian Yonatan Belinkov KELM 248 1,350 0 10 Feb 2022
Sparse Interventions in Language Models with Differentiable Masking Nicola De Cao Leon Schmid Dieuwke Hupkes Ivan Titov 59 28 0 13 Dec 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation Taehyeon Kim Jaehoon Oh Nakyil Kim Sangwook Cho Se-Young Yun 51 235 0 19 May 2021
Knowledge Neurons in Pretrained Transformers Damai Dai Li Dong Y. Hao Zhifang Sui Baobao Chang Furu Wei KELM MU 81 451 0 18 Apr 2021
Low-Complexity Probing via Finding Subnetworks Steven Cao Victor Sanh Alexander M. Rush 43 53 0 08 Apr 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 320 367 0 01 Feb 2021
Transformer Feed-Forward Layers Are Key-Value Memories Mor Geva R. Schuster Jonathan Berant Omer Levy KELM 149 828 0 29 Dec 2020
A Systematic Assessment of Syntactic Generalization in Neural Language Models Jennifer Hu Jon Gauthier Peng Qian Ethan Gotlieb Wilcox R. Levy ELM 73 220 0 07 May 2020
BLiMP: The Benchmark of Linguistic Minimal Pairs for English Alex Warstadt Alicia Parrish Haokun Liu Anhad Mohananey Wei Peng Sheng-Fu Wang Samuel R. Bowman 75 491 0 02 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 419 20,127 0 23 Oct 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 571 2,664 0 03 Sep 2019
Are Sixteen Heads Really Better than One? Paul Michel Omer Levy Graham Neubig MoE 100 1,061 0 25 May 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 111 1,139 0 23 May 2019
The emergence of number and syntax units in LSTM language models Yair Lakretz Germán Kruszewski T. Desbordes Dieuwke Hupkes S. Dehaene Marco Baroni 46 170 0 18 Mar 2019