If varying effect (1|group) specifies that "only intercept varies", then why does get_prior display more settable priors?

Modeling
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If varying effect (1|group) specifies that “only intercept varies” (as given here: 12 Multilevel Models | Statistical Rethinking with brms, ggplot2, and the tidyverse), then why does get_prior display more settable priors?

E.g. consider having a gender predictor {male, female} that lead to distribution with counts of males and females in a study.

Put this into a model as (1|gender).

Then get_prior would display, e.g.


       student_t(3, 0, 9298.7)        sd           gender                       (vectorized)
       student_t(3, 0, 9298.7)        sd Intercept gender                       (vectorized)

When I assumed that there’d be only the Intercept.