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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
ArXivPDFHTML

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

12 / 12 papers shown
Title
Harmonic Loss Trains Interpretable AI Models
Harmonic Loss Trains Interpretable AI Models
David D. Baek
Ziming Liu
Riya Tyagi
Max Tegmark
94
2
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 Heuristics
Yaniv Nikankin
Anja Reusch
Aaron Mueller
Yonatan Belinkov
AIFin
LRM
33
21
0
28 Oct 2024
The Platonic Representation Hypothesis
The Platonic Representation Hypothesis
Minyoung Huh
Brian Cheung
Tongzhou Wang
Phillip Isola
74
110
0
13 May 2024
What needs to go right for an induction head? A mechanistic study of
  in-context learning circuits and their formation
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Aaditya K. Singh
Ted Moskovitz
Felix Hill
Stephanie C. Y. Chan
Andrew M. Saxe
AI4CE
42
25
0
10 Apr 2024
A Resource Model For Neural Scaling Law
A Resource Model For Neural Scaling Law
Jinyeop Song
Ziming Liu
Max Tegmark
Jeff Gore
91
4
0
07 Feb 2024
Increasing Trust in Language Models through the Reuse of Verified
  Circuits
Increasing Trust in Language Models through the Reuse of Verified Circuits
Philip Quirke
Clement Neo
Fazl Barez
KELM
LRM
36
3
0
04 Feb 2024
Universal Neurons in GPT2 Language Models
Universal Neurons in GPT2 Language Models
Wes Gurnee
Theo Horsley
Zifan Carl Guo
Tara Rezaei Kheirkhah
Qinyi Sun
Will Hathaway
Neel Nanda
Dimitris Bertsimas
MILM
94
37
0
22 Jan 2024
The Geometry of Truth: Emergent Linear Structure in Large Language Model
  Representations of True/False Datasets
The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
Samuel Marks
Max Tegmark
HILM
102
168
0
10 Oct 2023
Double Descent Demystified: Identifying, Interpreting & Ablating the
  Sources of a Deep Learning Puzzle
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
Rylan Schaeffer
Mikail Khona
Zachary Robertson
Akhilan Boopathy
Kateryna Pistunova
J. Rocks
Ila Rani Fiete
Oluwasanmi Koyejo
62
31
0
24 Mar 2023
Omnigrok: Grokking Beyond Algorithmic Data
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu
Eric J. Michaud
Max Tegmark
56
76
0
03 Oct 2022
In-context Learning and Induction Heads
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
247
458
0
24 Sep 2022
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
164
684
0
10 Oct 2020
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