  We study the eigenvectors of generalized Wigner matrices with subexponential
entries and prove that they delocalize at the optimal rate with overwhelming
probability. We also prove high probability delocalization bounds with sharp
constants. Our proof uses an analysis of the eigenvector moment flow introduced
by Bourgade and Yau (2017) to bound logarithmic moments of eigenvector entries
for random matrices with small Gaussian components. We then extend this control
to all generalized Wigner matrices by comparison arguments based on a framework
of regularized eigenvectors, level repulsion, and the observable employed by
Landon, Lopatto, and Marcinek (2018) to compare extremal eigenvalue statistics.
Additionally, we prove level repulsion and eigenvalue overcrowding estimates
for the entire spectrum, which may be of independent interest.
