ggeffect() Not Returning all Predictions

Question

Using the Seatbelts (included in R) data, I want the predictions for the marginal effect of "front". This variable has 170 values. ggeffect() is only returning predictions for front at the values 400, 500, 600, ...,1300. How can I return all of the predictions?

Seatbelts <- data.frame(Seatbelts)
head(Seatbelts)

Seatbelts <- Seatbelts[complete.cases(Seatbelts), ]

## 75% of the sample size
smp_size <- floor(0.75 * nrow(Seatbelts))

## set the seed to make your partition reproducible
set.seed(123)
train_ind <- sample(seq_len(nrow(Seatbelts)), size = smp_size)

train <- Seatbelts[train_ind, ]
test <- Seatbelts[-train_ind, ]

# glm()
m1 <- glm(DriversKilled  ~  front + rear + kms + PetrolPrice + 
              VanKilled + law,
          family=poisson(link = "log"),
          weights = drivers,
          data=train)

ggeffect(m1, terms = c("front"), typical = "average")