Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Minder, Julian, Dumas, Clément, Juang, Caden, Chugtai, Bilal, Nanda, Neel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
by: Casademunt, Helena, et al.
Published: (2025)
by: Casademunt, Helena, et al.
Published: (2025)
Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences
by: Minder, Julian, et al.
Published: (2025)
by: Minder, Julian, et al.
Published: (2025)
Thought Branches: Interpreting LLM Reasoning Requires Resampling
by: Macar, Uzay, et al.
Published: (2025)
by: Macar, Uzay, et al.
Published: (2025)
Explorations of Self-Repair in Language Models
by: Rushing, Cody, et al.
Published: (2024)
by: Rushing, Cody, et al.
Published: (2024)
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
by: Zhang, Fred, et al.
Published: (2023)
by: Zhang, Fred, et al.
Published: (2023)
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
by: Karvonen, Adam, et al.
Published: (2025)
by: Karvonen, Adam, et al.
Published: (2025)
Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
by: Bayazit, Deniz, et al.
Published: (2025)
by: Bayazit, Deniz, et al.
Published: (2025)
Building Production-Ready Probes For Gemini
by: Kramár, János, et al.
Published: (2026)
by: Kramár, János, et al.
Published: (2026)
Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes
by: Kassem, Aly, et al.
Published: (2026)
by: Kassem, Aly, et al.
Published: (2026)
Automatically Interpreting Millions of Features in Large Language Models
by: Paulo, Gonçalo, et al.
Published: (2024)
by: Paulo, Gonçalo, et al.
Published: (2024)
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
by: Ferrando, Javier, et al.
Published: (2024)
by: Ferrando, Javier, et al.
Published: (2024)
Thought Anchors: Which LLM Reasoning Steps Matter?
by: Bogdan, Paul C., et al.
Published: (2025)
by: Bogdan, Paul C., et al.
Published: (2025)
Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internals
by: Clymer, Joshua, et al.
Published: (2024)
by: Clymer, Joshua, et al.
Published: (2024)
Scaling sparse feature circuit finding for in-context learning
by: Kharlapenko, Dmitrii, et al.
Published: (2025)
by: Kharlapenko, Dmitrii, et al.
Published: (2025)
What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation and question answering
by: Maar, Jim, et al.
Published: (2026)
by: Maar, Jim, et al.
Published: (2026)
nnterp: A Standardized Interface for Mechanistic Interpretability of Transformers
by: Dumas, Clément
Published: (2025)
by: Dumas, Clément
Published: (2025)
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
by: Pasewark, Eric, et al.
Published: (2024)
by: Pasewark, Eric, et al.
Published: (2024)
Learning Self-Interpretation from Interpretability Artifacts: Training Lightweight Adapters on Vector-Label Pairs
by: Pepper, Keenan, et al.
Published: (2026)
by: Pepper, Keenan, et al.
Published: (2026)
The Impact of Inference Acceleration on Bias of LLMs
by: Kirsten, Elisabeth, et al.
Published: (2024)
by: Kirsten, Elisabeth, et al.
Published: (2024)
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
by: Arcuschin, Iván, et al.
Published: (2025)
by: Arcuschin, Iván, et al.
Published: (2025)
Real-Time Detection of Hallucinated Entities in Long-Form Generation
by: Obeso, Oscar, et al.
Published: (2025)
by: Obeso, Oscar, et al.
Published: (2025)
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
by: Casademunt, Helena, et al.
Published: (2026)
by: Casademunt, Helena, et al.
Published: (2026)
Believe It or Not: How Deeply do LLMs Believe Implanted Facts?
by: Slocum, Stewart, et al.
Published: (2025)
by: Slocum, Stewart, et al.
Published: (2025)
Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
by: Wang, Tuowei, et al.
Published: (2025)
by: Wang, Tuowei, et al.
Published: (2025)
Confidence Regulation Neurons in Language Models
by: Stolfo, Alessandro, et al.
Published: (2024)
by: Stolfo, Alessandro, et al.
Published: (2024)
Refusal in Language Models Is Mediated by a Single Direction
by: Arditi, Andy, et al.
Published: (2024)
by: Arditi, Andy, et al.
Published: (2024)
Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs
by: Chughtai, Bilal, et al.
Published: (2024)
by: Chughtai, Bilal, et al.
Published: (2024)
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs
by: Goel, Raghavv, et al.
Published: (2024)
by: Goel, Raghavv, et al.
Published: (2024)
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions
by: Neo, Clement, et al.
Published: (2024)
by: Neo, Clement, et al.
Published: (2024)
Universal Neurons in GPT2 Language Models
by: Gurnee, Wes, et al.
Published: (2024)
by: Gurnee, Wes, et al.
Published: (2024)
Transcoders Find Interpretable LLM Feature Circuits
by: Dunefsky, Jacob, et al.
Published: (2024)
by: Dunefsky, Jacob, et al.
Published: (2024)
Data Cartography for Detecting Memorization Hotspots and Guiding Data Interventions in Generative Models
by: Patel, Laksh, et al.
Published: (2025)
by: Patel, Laksh, et al.
Published: (2025)
The Role of Sparsity for Length Generalization in Transformers
by: Golowich, Noah, et al.
Published: (2025)
by: Golowich, Noah, et al.
Published: (2025)
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
by: Lieberum, Tom, et al.
Published: (2024)
by: Lieberum, Tom, et al.
Published: (2024)
Post-Training Sparse Attention with Double Sparsity
by: Yang, Shuo, et al.
Published: (2024)
by: Yang, Shuo, et al.
Published: (2024)
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
by: Choi, Yunseon, et al.
Published: (2024)
by: Choi, Yunseon, et al.
Published: (2024)
Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
by: Hua, Andong, et al.
Published: (2025)
by: Hua, Andong, et al.
Published: (2025)
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
by: Nakamura, Taishi, et al.
Published: (2025)
by: Nakamura, Taishi, et al.
Published: (2025)
PSK@EEUCA 2026: Fine-Tuning Large Language Models with Synthetic Data Augmentation for Multi-Class Toxicity Detection in Gaming Chat
by: Pulipaka, Srikar Kashyap
Published: (2026)
by: Pulipaka, Srikar Kashyap
Published: (2026)
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search
by: Muñoz, J. Pablo, et al.
Published: (2024)
by: Muñoz, J. Pablo, et al.
Published: (2024)
Similar Items
-
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
by: Casademunt, Helena, et al.
Published: (2025) -
Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences
by: Minder, Julian, et al.
Published: (2025) -
Thought Branches: Interpreting LLM Reasoning Requires Resampling
by: Macar, Uzay, et al.
Published: (2025) -
Explorations of Self-Repair in Language Models
by: Rushing, Cody, et al.
Published: (2024) -
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
by: Zhang, Fred, et al.
Published: (2023)