diff --git a/autofit/non_linear/grid/sensitivity/__init__.py b/autofit/non_linear/grid/sensitivity/__init__.py
index fa19768c..50ddf826 100644
--- a/autofit/non_linear/grid/sensitivity/__init__.py
+++ b/autofit/non_linear/grid/sensitivity/__init__.py
@@ -253,15 +253,27 @@ class Sensitivity:
         These limits can be scaled using the limit_scale variable. If the variable
         is 2 then the priors will have width twice the step size.
         """
-        half_step = self.limit_scale * self.step_size / 2
-        for list_ in self._lists:
-            limits = [
-                (
-                    prior.value_for(max(0.0, centre - half_step)),
-                    prior.value_for(min(1.0, centre + half_step)),
-                )
-                for centre, prior in zip(list_, self.perturb_model.priors_ordered_by_id)
-            ]
+        if isinstance(self.step_size, tuple):
+            half_step = tuple(self.limit_scale * s / 2 for s in self.step_size)
+        else:
+            half_step = self.limit_scale * self.step_size / 2
+        for list_ in self._lists:
+            if isinstance(half_step, tuple):
+                limits = [
+                    (
+                        prior.value_for(max(0.0, centre - half_step[i])),
+                        prior.value_for(min(1.0, centre + half_step[i])),
+                    )
+                    for i, (centre, prior) in enumerate(zip(list_, self.perturb_model.priors_ordered_by_id))
+                ]
+            else:
+                limits = [
+                    (
+                        prior.value_for(max(0.0, centre - half_step)),
+                        prior.value_for(min(1.0, centre + half_step)),
+                    )
+                    for centre, prior in zip(list_, self.perturb_model.priors_ordered_by_id)
+                ]
             yield self.perturb_model.with_limits(limits)
 
     def _make_jobs(self) -> Generator[Job, None, None]: