ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.17975
  4. Cited By
Understanding polysemanticity in neural networks through coding theory

Understanding polysemanticity in neural networks through coding theory

31 January 2024
Simon C. Marshall
Jan H. Kirchner
    FAttMILMAAML
ArXiv (abs)PDFHTML

Papers citing "Understanding polysemanticity in neural networks through coding theory"

3 / 3 papers shown
Title
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
Laura Kopf
Nils Feldhus
Kirill Bykov
P. Bommer
Anna Hedström
Marina M.-C. Höhne
Oliver Eberle
19
0
0
18 Jun 2025
Probing the Vulnerability of Large Language Models to Polysemantic Interventions
Probing the Vulnerability of Large Language Models to Polysemantic Interventions
Bofan Gong
Shiyang Lai
Dawn Song
AAMLMILM
63
1
0
16 May 2025
Pruning for Robust Concept Erasing in Diffusion Models
Pruning for Robust Concept Erasing in Diffusion Models
Tianyun Yang
Juan Cao
Chang Xu
102
14
0
26 May 2024
1