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. 2306.17844
  4. Cited By
The Clock and the Pizza: Two Stories in Mechanistic Explanation of
  Neural Networks

The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks

30 June 2023
Ziqian Zhong
Ziming Liu
Max Tegmark
Jacob Andreas
ArXivPDFHTML

Papers citing "The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks"

26 / 26 papers shown
Title
Understanding In-context Learning of Addition via Activation Subspaces
Understanding In-context Learning of Addition via Activation Subspaces
Xinyan Hu
Kayo Yin
Michael I. Jordan
Jacob Steinhardt
Lijie Chen
53
0
0
08 May 2025
Representation Learning on a Random Lattice
Representation Learning on a Random Lattice
Aryeh Brill
OOD
FAtt
AI4CE
73
0
0
28 Apr 2025
Low Rank and Sparse Fourier Structure in Recurrent Networks Trained on Modular Addition
Low Rank and Sparse Fourier Structure in Recurrent Networks Trained on Modular Addition
Akshay Rangamani
42
0
0
28 Mar 2025
Towards Understanding Distilled Reasoning Models: A Representational Approach
Towards Understanding Distilled Reasoning Models: A Representational Approach
David D. Baek
Max Tegmark
LRM
80
3
0
05 Mar 2025
(How) Do Language Models Track State?
Belinda Z. Li
Zifan Carl Guo
Jacob Andreas
LRM
46
0
0
04 Mar 2025
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
Ge Lei
Samuel J. Cooper
KELM
49
0
0
15 Feb 2025
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
Célia Wafa Ayad
Thomas Bonnier
Benjamin Bosch
Sonali Parbhoo
Jesse Read
FAtt
XAI
103
0
0
11 Feb 2025
Harmonic Loss Trains Interpretable AI Models
Harmonic Loss Trains Interpretable AI Models
David D. Baek
Ziming Liu
Riya Tyagi
Max Tegmark
97
2
0
03 Feb 2025
Physics of Skill Learning
Physics of Skill Learning
Ziming Liu
Yizhou Liu
Eric J. Michaud
Jeff Gore
Max Tegmark
46
1
0
21 Jan 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
88
4
0
31 Dec 2024
Interpreting Arithmetic Mechanism in Large Language Models through
  Comparative Neuron Analysis
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
Zeping Yu
Sophia Ananiadou
LRM
MILM
27
6
0
21 Sep 2024
Representing Rule-based Chatbots with Transformers
Representing Rule-based Chatbots with Transformers
Dan Friedman
Abhishek Panigrahi
Danqi Chen
66
1
0
15 Jul 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
Daking Rai
Yilun Zhou
Shi Feng
Abulhair Saparov
Ziyu Yao
82
19
0
02 Jul 2024
Does ChatGPT Have a Mind?
Does ChatGPT Have a Mind?
Simon Goldstein
B. Levinstein
AI4MH
LRM
39
5
0
27 Jun 2024
Standards for Belief Representations in LLMs
Standards for Belief Representations in LLMs
Daniel A. Herrmann
B. Levinstein
42
7
0
31 May 2024
Survival of the Fittest Representation: A Case Study with Modular
  Addition
Survival of the Fittest Representation: A Case Study with Modular Addition
Xiaoman Delores Ding
Zifan Carl Guo
Eric J. Michaud
Ziming Liu
Max Tegmark
48
3
0
27 May 2024
KAN: Kolmogorov-Arnold Networks
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
98
475
0
30 Apr 2024
Opening the AI black box: program synthesis via mechanistic
  interpretability
Opening the AI black box: program synthesis via mechanistic interpretability
Eric J. Michaud
Isaac Liao
Vedang Lad
Ziming Liu
Anish Mudide
Chloe Loughridge
Zifan Carl Guo
Tara Rezaei Kheirkhah
Mateja Vukelić
Max Tegmark
23
12
0
07 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
34
78
0
25 Jan 2024
Towards Best Practices of Activation Patching in Language Models:
  Metrics and Methods
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang
Neel Nanda
LLMSV
36
97
0
27 Sep 2023
It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD
  Generalization for Generative Transformer Models
It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models
Xingcheng Xu
Zihao Pan
Haipeng Zhang
Yanqing Yang
LRM
18
2
0
16 Aug 2023
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Wes Gurnee
Neel Nanda
Matthew Pauly
Katherine Harvey
Dmitrii Troitskii
Dimitris Bertsimas
MILM
162
188
0
02 May 2023
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
212
497
0
01 Nov 2022
Omnigrok: Grokking Beyond Algorithmic Data
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu
Eric J. Michaud
Max Tegmark
56
77
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
250
463
0
24 Sep 2022
Toy Models of Superposition
Toy Models of Superposition
Nelson Elhage
Tristan Hume
Catherine Olsson
Nicholas Schiefer
T. Henighan
...
Sam McCandlish
Jared Kaplan
Dario Amodei
Martin Wattenberg
C. Olah
AAML
MILM
131
322
0
21 Sep 2022
1