AtP*: An efficient and scalable method for localizing LLM behaviour to components
Fuente:
arXiv
Saved in:
| Main Authors: | Kramár, János, Lieberum, Tom, Shah, Rohin, Nanda, Neel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Building Production-Ready Probes For Gemini
by: Kramár, János, et al.
Published: (2026)
by: Kramár, János, et al.
Published: (2026)
Improving Dictionary Learning with Gated Sparse Autoencoders
by: Rajamanoharan, Senthooran, et al.
Published: (2024)
by: Rajamanoharan, Senthooran, et al.
Published: (2024)
Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
by: Rajamanoharan, Senthooran, et al.
Published: (2024)
by: Rajamanoharan, Senthooran, et al.
Published: (2024)
Transcoders Find Interpretable LLM Feature Circuits
by: Dunefsky, Jacob, et al.
Published: (2024)
by: Dunefsky, Jacob, et al.
Published: (2024)
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)
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)
Thought Branches: Interpreting LLM Reasoning Requires Resampling
by: Macar, Uzay, et al.
Published: (2025)
by: Macar, Uzay, et al.
Published: (2025)
Thought Anchors: Which LLM Reasoning Steps Matter?
by: Bogdan, Paul C., et al.
Published: (2025)
by: Bogdan, Paul C., et al.
Published: (2025)
Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks
by: Karvonen, Adam, et al.
Published: (2024)
by: Karvonen, Adam, et al.
Published: (2024)
On scalable oversight with weak LLMs judging strong LLMs
by: Kenton, Zachary, et al.
Published: (2024)
by: Kenton, Zachary, et al.
Published: (2024)
NorMuon: Making Muon more efficient and scalable
by: Li, Zichong, et al.
Published: (2025)
by: Li, Zichong, et al.
Published: (2025)
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)
Evaluating the Goal-Directedness of Large Language Models
by: Everitt, Tom, et al.
Published: (2025)
by: Everitt, Tom, et al.
Published: (2025)
Simple Mechanistic Explanations for Out-Of-Context Reasoning
by: Wang, Atticus, et al.
Published: (2025)
by: Wang, Atticus, et al.
Published: (2025)
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
by: Manvi, Rohin, et al.
Published: (2023)
by: Manvi, Rohin, et al.
Published: (2023)
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)
Scaling sparse feature circuit finding for in-context learning
by: Kharlapenko, Dmitrii, et al.
Published: (2025)
by: Kharlapenko, Dmitrii, et al.
Published: (2025)
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
by: Minder, Julian, et al.
Published: (2025)
by: Minder, Julian, et al.
Published: (2025)
Curiosity-Driven LLM-as-a-judge for Personalized Creative Judgment
by: Kumar, Vanya Bannihatti, et al.
Published: (2025)
by: Kumar, Vanya Bannihatti, et al.
Published: (2025)
Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation
by: Manvi, Rohin, et al.
Published: (2024)
by: Manvi, Rohin, et al.
Published: (2024)
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
by: Casademunt, Helena, et al.
Published: (2025)
by: Casademunt, Helena, et al.
Published: (2025)
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)
LayerNorm: A key component in parameter-efficient fine-tuning
by: ValizadehAslani, Taha, et al.
Published: (2024)
by: ValizadehAslani, Taha, et al.
Published: (2024)
MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV Cache
by: Sharma, Akshat, et al.
Published: (2024)
by: Sharma, Akshat, et al.
Published: (2024)
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)
Probing the Limits of the Lie Detector Approach to LLM Deception
by: Berger, Tom-Felix
Published: (2026)
by: Berger, Tom-Felix
Published: (2026)
On multi-token prediction for efficient LLM inference
by: Mehra, Somesh, et al.
Published: (2025)
by: Mehra, Somesh, et al.
Published: (2025)
Sample-efficient LLM Optimization with Reset Replay
by: Liu, Zichuan, et al.
Published: (2025)
by: Liu, Zichuan, et al.
Published: (2025)
A comparison of data filtering techniques for English-Polish LLM-based machine translation in the biomedical domain
by: Lérida, Jorge del Pozo, et al.
Published: (2025)
by: Lérida, Jorge del Pozo, et al.
Published: (2025)
Universal Neurons in GPT2 Language Models
by: Gurnee, Wes, et al.
Published: (2024)
by: Gurnee, Wes, et al.
Published: (2024)
Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization
by: Deiseroth, Björn, et al.
Published: (2023)
by: Deiseroth, Björn, et al.
Published: (2023)
Improving LLM Final Representations with Inter-Layer Geometry
by: Ulanovski, Tom, et al.
Published: (2026)
by: Ulanovski, Tom, et al.
Published: (2026)
CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models
by: Nanda, Amitash, et al.
Published: (2024)
by: Nanda, Amitash, et al.
Published: (2024)
Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)
by: Manvi, Rohin, 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)
Similar Items
-
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
by: Lieberum, Tom, et al.
Published: (2024) -
Building Production-Ready Probes For Gemini
by: Kramár, János, et al.
Published: (2026) -
Improving Dictionary Learning with Gated Sparse Autoencoders
by: Rajamanoharan, Senthooran, et al.
Published: (2024) -
Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
by: Rajamanoharan, Senthooran, et al.
Published: (2024) -
Transcoders Find Interpretable LLM Feature Circuits
by: Dunefsky, Jacob, et al.
Published: (2024)