knn imputation changes with a change in bake(new_data)

I have prepared a recipe with only an imputation
rec<-recipe(DF_train) %>% update_role(all_numeric(),new_role = "predictor") %>%
step_impute_knn(all_numeric_predictors(),neighbors = 10)

I then prepared it using:

However, when using bake(p_rec,new_data=DF1) the imputed values change when I change DF1 to e.g. DF2. It seems as if imputation is based on the new data (DF1, DF2 etc.) and not on the training data (DF_train). What am I missing??
Many thanks!! (also for an absolutely TERRIFIC package!)

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