claim
active
claim:character-training-produces-more-coherent-responses-than-activation-steering-because-it-learns-a-distribution-over-desired-personas-rather-than-forcing-low-probability-tokens

Character training produces more coherent responses than activation steering because it learns a distribution over desired personas rather than forcing low-probability tokens

Coherence advantage claim with mechanistic speculation about why steering leads to incoherence

Source paper

extracted_from
Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
(2025) · Sharan Maiya · Henning Bartsch · Nathan Lambert · Evan Hubinger

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Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.