BeClaude
Research2026-05-12

HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds

Source: Arxiv CS.AI

arXiv:2605.10536v1 Announce Type: cross Abstract: Rare semantic innovations in high-dimensional, mission-critical domains are often obscured by dense background contexts, a challenge we define as \textit{feature density conflict}. We introduce the \textbf{Hybrid Hierarchical SAE (HH-SAE)} to...

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