Uncovering Uncontrolled Repetition through Residual Stream Dynamics

arXiv:2609.38802 · cs.CL, cs.AI · Submitted 2026-09-30 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/meta-llama/llama-models

Terminology

• Accuracy — 15× in this paper · explained in 1 episode
• Tokenwise Residual Comparison — 7× in this paper
• Transformer — 7× in this paper · explained in 2 episodes
• Adversarial Examples — 5× in this paper · explained in 2 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Steering — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Robustness — 2× in this paper · explained in 5 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Activation Steering — 1× in this paper · explained in 4 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Transferability — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Denial-of-Service Poisoning Attacks against Large Language Models
• Explaining and Harnessing Adversarial Examples
• Measuring Massive Multitask Language Understanding
• A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
• Interpreting the Repeated Token Phenomenon in Large Language Models
• Resource Consumption Threats in Large Language Models

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