Unraveling the cognitive patterns of Large Language Models through module communities

arXiv:2508.18192 · cs.AI, cs.CL, cs.LG · Submitted 2025-08-25 · Read on arXiv

cs.AI, cs.CL, cs.LG

Submitted: 2025-08-25

Updated: 2026-09-23

Code: https://github.com/KBhandari11/LLMNeuron

Terminology

• Pruning — 113× in this paper · explained in 4 episodes
• Sparsity — 40× in this paper · explained in 4 episodes
• Fine-Tuning — 35× in this paper · explained in 5 episodes
• Clustering — 26× in this paper · explained in 2 episodes
• Accuracy — 25× in this paper · explained in 1 episode
• Alignment — 15× in this paper · explained in 1 episode
• Interpretability — 7× in this paper · explained in 15 episodes
• Rand Index — 6× in this paper
• Adaptability — 5× in this paper · explained in 1 episode
• Adjusted Rand Score — 5× in this paper
• Adaptation — 4× in this paper · explained in 1 episode
• Adjusted Rand Index — 4× in this paper
• EMMA — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Modular Architecture — 3× in this paper · explained in 4 episodes
• Modularity — 3× in this paper · explained in 9 episodes
• Pragmatics — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adjusted Normalized Mutual Information — 1× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Fisher Information — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Modular Components — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Principal Component Analysis — 1× in this paper
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Spectral Gap — 1× in this paper · explained in 5 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

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