Cover Image

Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Geonhee, Valentino, Marco, Freitas, André
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference
by: Thayaparan, Mokanarangan, et al.
Published: (2024)

Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
by: Valentino, Marco, et al.
Published: (2025)

A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
by: Eisape, Tiwalayo, et al.
Published: (2023)

Reasoning with Natural Language Explanations
by: Valentino, Marco, et al.
Published: (2024)

Binary Autoencoder for Mechanistic Interpretability of Large Language Models
by: Cho, Hakaze, et al.
Published: (2025)

Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations
by: Ranaldi, Leonardo, et al.
Published: (2024)

Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability
by: Nainani, Jatin, et al.
Published: (2024)

DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
by: Wang, Xu, et al.
Published: (2026)

Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies
by: Jullien, Mael, et al.
Published: (2025)

SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
by: Jullien, Mael, et al.
Published: (2024)

Revisiting In-context Learning Inference Circuit in Large Language Models
by: Cho, Hakaze, et al.
Published: (2024)

MIB: A Mechanistic Interpretability Benchmark
by: Mueller, Aaron, et al.
Published: (2025)

Mechanistic Interpretability of GPT-like Models on Summarization Tasks
by: Mishra, Anurag
Published: (2025)

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
by: Marks, Samuel, et al.
Published: (2024)

Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
by: Lan, Michael, et al.
Published: (2023)

Abductive Reasoning with Syllogistic Forms in Large Language Models
by: Abe, Hirohiko, et al.
Published: (2026)

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
by: Méloux, Maxime, et al.
Published: (2025)

Inference to the Best Explanation in Large Language Models
by: Dalal, Dhairya, et al.
Published: (2024)

SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning
by: Wysocka, Magdalena, et al.
Published: (2024)

Towards Interpreting Language Models: A Case Study in Multi-Hop Reasoning
by: Sakarvadia, Mansi
Published: (2024)

Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
by: Sakarvadia, Mansi, et al.
Published: (2023)

Active Preference Inference using Language Models and Probabilistic Reasoning
by: Piriyakulkij, Wasu Top, et al.
Published: (2023)

HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
by: Sun, Jiuding, et al.
Published: (2025)

Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
by: Méloux, Maxime, et al.
Published: (2025)

Learning to Interpret Weight Differences in Language Models
by: Goel, Avichal, et al.
Published: (2025)

Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?
by: Kang, Deokhyung, et al.
Published: (2025)

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs
by: Song, Xiangchen, et al.
Published: (2025)

Towards Quantifying Commonsense Reasoning with Mechanistic Insights
by: Joshi, Abhinav, et al.
Published: (2025)

Circuit Insights: Towards Interpretability Beyond Activations
by: Golimblevskaia, Elena, et al.
Published: (2025)

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
by: Chen, Jianhui, et al.
Published: (2026)

A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
by: Ayonrinde, Kola, et al.
Published: (2025)

ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
by: Oh, Jungwoo, et al.
Published: (2026)

From Circuit Evidence to Mechanistic Theory: An Inductive Logic Approach
by: Aljaafari, Nura, et al.
Published: (2026)

Block Transformer: Global-to-Local Language Modeling for Fast Inference
by: Ho, Namgyu, et al.
Published: (2024)

Intrinsic Self-Correction in LLMs: Towards Explainable Prompting via Mechanistic Interpretability
by: Lee, Yu-Ting, et al.
Published: (2025)

Is Inference Mediated by Distinct Semantic Structures in LLMs? A Mechanistic Interpretation
by: Aljaafari, Nura, et al.
Published: (2026)

Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)

Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
by: Ahmad, Areeb, et al.
Published: (2025)

Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression
by: Xiao, Hanqi, et al.
Published: (2025)

Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
by: Park, Jinyoung, et al.
Published: (2023)