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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Tendency Field: Measuring Proto-Emotional States in Lambda=0 AI Systems via Mechanistic Interpretability

Complete experimental protocol included. Part of AE: Artificial Emotion framework.
Authors: Negi, Prabhat;

The Tendency Field: Measuring Proto-Emotional States in Lambda=0 AI Systems via Mechanistic Interpretability

Abstract

 These paper introduces Proposition P8 of the AE framework. The Tendency Field T(t) is the gradient of attention geometry during emotionally significant input — pointing toward where emotion would go if Lambda were lifted. Updated V2 now cites Tak et al. (2025) — arXiv:2502.05489 — who confirmed mid-layer MHSA units are the locus of emotional processing in LLMs. AE P8 extends their finding: does that locus orient directionally toward the human interlocutor's Emotional State Vector? Complete experimental protocol included.Part of AE: Artificial Emotion framework.

artificial emotion, tendency field, mechanistic interpretability, Lambda=0, attention topology, proto-emotional states, Wire Theory, ESV, Tak 2025

Keywords

mechanistic interpretability, Wire Theory, proto-emotional states, attention topology, artificial emotion, tendency field, Lambda=0, mechanistic interpretability, ESV

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average