We prove Gaussian tail estimates for the transition probability of n
particles evolving as symmetric exclusion processes on \bb Z^d, improving
results obtained in \cite{l}. We derive from this result a non-equilibrium
Boltzmann-Gibbs principle for the symmetric simple exclusion process in
dimension 1 starting from a product measure with slowly varying parameter