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Mechanistic Interpretability
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Steering a language model's intertemporal preferences can induce significant shifts in decision-making, impacting how AI systems advise on delayed costs and benefits.
Interpolating between opposing directorial personas not only reveals surprising coherence improvements but also uncovers a shared moral-tone substrate in transformer models.
