Since we're talking about "a second roll", we must consider all the possible outcomes of the first.
Case 1: the first roll had no 6s.
This happens with probability

(you want one of the other 5 numbers in all dice). In this scenario, the second roll involves all three dice, and we want exactly two 6s. Using Bernoulli's distribution, we know that this happens with probability

Case 2: the first roll had one 6.
This happens with probability

In this scenario, the second roll involves two dice, and we want them both to show 6. This happens with probability

Case 3: the first roll had two 6s.
In this case, the second roll would involve the only remaining dice, so there's no way you can have two 6s in the second roll
Case 4: the first roll had three 6s.
In this case there is no second roll, because all three dice have already shown 6, and are thus reserved.
So, if we sum all possible scenario, multiplied by the probability that that scenario would occur, we have this global probability for the first scenario

and this global probability for the second scenario

Their sum is

Both binomial coefficients evaluate to 3, so we can simplify the expression as follows:

This approximates to 0.05, or 5%