arXiv (All)
open access
Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation
Activation verbalization explains hidden representations in natural language, but existing methods are mostly limited to self-explanation, where each model explains only its own activations. We introduce Universal Activation Verbalizer (UAV), a framework that uses a shared decoder to explain activat
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation#797496
- Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation#224530
- Understanding Confabulation and Rethinking Reconstruction in Activation Explanations#1118775
- Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations#635922
- Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations#633573
Record · ID 798910
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive