Every Component Is a Lookup: One Linear Graph for Interaction, Composition and Attribution

arXiv:2605.23393 · cs.LG, cs.AI · Submitted 2026-05-22 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-05-22

Updated: 2026-09-24

Code: https://github.com/Fun-Cry/unpacklm

Terminology

• Transformer — 17× in this paper · explained in 2 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Embeddings — 9× in this paper · explained in 2 episodes
• Interpretability — 7× in this paper · explained in 15 episodes
• Perplexity — 5× in this paper · explained in 3 episodes
• Information Flow Routes — 4× in this paper
• Pruning — 3× in this paper · explained in 4 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• Trace — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• XAI for Transformers: Better Explanations through Conservative Propagation
• The Pile: An 800GB Dataset of Diverse Text for Language Modeling

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