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Survival of the Fittest Representation: A Case Study with Modular
  Addition

Survival of the Fittest Representation: A Case Study with Modular Addition

27 May 2024
Xiaoman Delores Ding
Zifan Carl Guo
Eric J. Michaud
Ziming Liu
Max Tegmark
ArXiv (abs)PDFHTML

Papers citing "Survival of the Fittest Representation: A Case Study with Modular Addition"

4 / 4 papers shown
Title
Harmonic Loss Trains Interpretable AI Models
Harmonic Loss Trains Interpretable AI Models
David D. Baek
Ziming Liu
Riya Tyagi
Max Tegmark
322
3
0
03 Feb 2025
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsInternational Conference on Learning Representations (ICLR), 2024
Yaniv Nikankin
Anja Reusch
Aaron Mueller
Yonatan Belinkov
AIFinLRM
323
57
0
28 Oct 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks
Can Rager
Eric J. Michaud
Yonatan Belinkov
David Bau
Aaron Mueller
459
235
0
28 Mar 2024
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization
  is Sufficient
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is SufficientNeural Information Processing Systems (NeurIPS), 2020
Ankit Pensia
Shashank Rajput
Alliot Nagle
Harit Vishwakarma
Dimitris Papailiopoulos
292
112
0
14 Jun 2020
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