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Tracr: Compiled Transformers as a Laboratory for Interpretability

Tracr: Compiled Transformers as a Laboratory for Interpretability

12 January 2023
David Lindner
János Kramár
Sebastian Farquhar
Matthew Rahtz
Tom McGrath
Vladimir Mikulik
ArXivPDFHTML

Papers citing "Tracr: Compiled Transformers as a Laboratory for Interpretability"

18 / 18 papers shown
Title
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao-quan Song
Yufa Zhou
89
18
0
21 Feb 2025
On the Role of Attention Heads in Large Language Model Safety
On the Role of Attention Heads in Large Language Model Safety
Z. Zhou
Haiyang Yu
Xinghua Zhang
Rongwu Xu
Fei Huang
Kun Wang
Yang Liu
Junfeng Fang
Yongbin Li
57
5
0
17 Oct 2024
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Philipp Mondorf
Sondre Wold
Barbara Plank
29
0
0
02 Oct 2024
Representing Rule-based Chatbots with Transformers
Representing Rule-based Chatbots with Transformers
Dan Friedman
Abhishek Panigrahi
Danqi Chen
59
1
0
15 Jul 2024
Transformer Circuit Faithfulness Metrics are not Robust
Transformer Circuit Faithfulness Metrics are not Robust
Joseph Miller
Bilal Chughtai
William Saunders
45
7
0
11 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
75
18
0
02 Jul 2024
Finding Transformer Circuits with Edge Pruning
Finding Transformer Circuits with Edge Pruning
Adithya Bhaskar
Alexander Wettig
Dan Friedman
Danqi Chen
58
14
0
24 Jun 2024
Separations in the Representational Capabilities of Transformers and
  Recurrent Architectures
Separations in the Representational Capabilities of Transformers and Recurrent Architectures
S. Bhattamishra
Michael Hahn
Phil Blunsom
Varun Kanade
GNN
28
9
0
13 Jun 2024
Counting Like Transformers: Compiling Temporal Counting Logic Into
  Softmax Transformers
Counting Like Transformers: Compiling Temporal Counting Logic Into Softmax Transformers
Andy Yang
David Chiang
31
7
0
05 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
3VL: Using Trees to Improve Vision-Language Models' Interpretability
3VL: Using Trees to Improve Vision-Language Models' Interpretability
Nir Yellinek
Leonid Karlinsky
Raja Giryes
CoGe
VLM
49
4
0
28 Dec 2023
Localizing Model Behavior with Path Patching
Localizing Model Behavior with Path Patching
Nicholas W. Goldowsky-Dill
Chris MacLeod
L. Sato
Aryaman Arora
8
85
0
12 Apr 2023
Tighter Bounds on the Expressivity of Transformer Encoders
Tighter Bounds on the Expressivity of Transformer Encoders
David Chiang
Peter A. Cholak
A. Pillay
24
53
0
25 Jan 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
210
491
0
01 Nov 2022
Polysemanticity and Capacity in Neural Networks
Polysemanticity and Capacity in Neural Networks
Adam Scherlis
Kshitij Sachan
Adam Jermyn
Joe Benton
Buck Shlegeris
MILM
133
25
0
04 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
456
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
120
316
0
21 Sep 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
221
402
0
24 Feb 2021
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