How Perturbations Propagate: A Multi-Level Analysis of Robustness in Large Language Models

arXiv:2609.03322 · cs.CL, stat.ML · Submitted 2026-09-03 · Read on arXiv

cs.CL, stat.ML

Submitted: 2026-09-03

Updated: 2026-10-05

Terminology

Intrinsic Dimension — 26× in this paper · explained in 2 episodes
Robustness — 9× in this paper · explained in 5 episodes
Activation Patching — 7× in this paper · explained in 2 episodes
Transformer — 7× in this paper · explained in 2 episodes
Alignment — 6× in this paper · explained in 1 episode
Interpretability — 4× in this paper · explained in 15 episodes
Ablation — 2× in this paper · explained in 1 episode
Attention Entropy — 2× in this paper · explained in 2 episodes
Centered Kernel Alignment — 2× in this paper
Centered Kernel Alignment (CKA) — 2× in this paper · explained in 2 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Mechanistic interpretability — 2× in this paper · explained in 2 episodes
Tokenization — 2× in this paper · explained in 2 episodes
Adversarial Attacks — 1× in this paper · explained in 1 episode
Adversarial Examples — 1× in this paper · explained in 2 episodes
Adversarial Robustness — 1× in this paper · explained in 3 episodes
Anisotropy — 1× in this paper · explained in 3 episodes
Consistency — 1× in this paper · explained in 3 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
In-Context Learning — 1× in this paper · explained in 4 episodes

Sources

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