When you have multiple observations per individual, using the univariate approach for log_lik is essentially assessing the extent to which the model can predict each observation for an individual separately. On the other hand, the multivariate (leave-one-row-out) approach is assessing the ability to predict all observations for an individual at once.
Am I on the right track with that @avehtari ?