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The semantic landscape paradigm for neural networks

The semantic landscape paradigm for neural networks

18 July 2023
Shreyas Gokhale
ArXivPDFHTML

Papers citing "The semantic landscape paradigm for neural networks"

7 / 7 papers shown
Title
Information Gravity: A Field-Theoretic Model for Token Selection in Large Language Models
Information Gravity: A Field-Theoretic Model for Token Selection in Large Language Models
Maryna Vyshnyvetska
24
0
0
29 Apr 2025
Interpretability in the Wild: a Circuit for Indirect Object
  Identification in GPT-2 small
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
210
486
0
01 Nov 2022
Grokking phase transitions in learning local rules with gradient descent
Grokking phase transitions in learning local rules with gradient descent
Bojan Žunkovič
E. Ilievski
50
16
0
26 Oct 2022
Omnigrok: Grokking Beyond Algorithmic Data
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu
Eric J. Michaud
Max Tegmark
54
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
240
453
0
24 Sep 2022
Learning Curve Theory
Learning Curve Theory
Marcus Hutter
128
56
0
08 Feb 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
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