diff --git a/quantus/metrics/axiomatic/non_sensitivity.py b/quantus/metrics/axiomatic/non_sensitivity.py
index cfc92bd7..7e5f390c 100644
--- a/quantus/metrics/axiomatic/non_sensitivity.py
+++ b/quantus/metrics/axiomatic/non_sensitivity.py
@@ -63,7 +63,6 @@ class NonSensitivity(Metric[List[float]]):
     def __init__(
         self,
         eps: float = 1e-5,
-        n_samples: int = 100,
         features_in_step: int = 1,
         abs: bool = True,
         normalise: bool = True,
@@ -84,8 +83,6 @@ def __init__(
         ----------
         eps: float
             Attributions threshold, default=1e-5.
-        n_samples: integer
-            The number of samples to iterate over, default=100.
         features_in_step: integer
             The step size, default=1.
         abs: boolean
@@ -137,7 +134,6 @@ def __init__(
 
         # Save metric-specific attributes.
         self.eps = eps
-        self.n_samples = n_samples
         self.features_in_step = features_in_step
         self.perturb_func = make_perturb_func(perturb_func, perturb_func_kwargs, perturb_baseline=perturb_baseline)
 
diff --git a/tests/metrics/test_axiomatic_metrics.py b/tests/metrics/test_axiomatic_metrics.py
index b2e1c2f9..31fd8eb1 100644
--- a/tests/metrics/test_axiomatic_metrics.py
+++ b/tests/metrics/test_axiomatic_metrics.py
@@ -228,7 +228,6 @@ def test_completeness(
             {
                 "a_batch_generate": False,
                 "init": {
-                    "n_samples": 1,
                     "normalise": True,
                     "disable_warnings": False,
                     "display_progressbar": False,
@@ -248,7 +247,6 @@ def test_completeness(
             {
                 "a_batch_generate": False,
                 "init": {
-                    "n_samples": 1,
                     "normalise": True,
                     "disable_warnings": False,
                     "display_progressbar": False,
@@ -268,7 +266,6 @@ def test_completeness(
             {
                 "a_batch_generate": False,
                 "init": {
-                    "n_samples": 1,
                     "eps": 1e-2,
                     "normalise": True,
                     "disable_warnings": True,
@@ -289,7 +286,6 @@ def test_completeness(
             {
                 "a_batch_generate": True,
                 "init": {
-                    "n_samples": 1,
                     "eps": 1e-2,
                     "normalise": True,
                     "disable_warnings": True,
@@ -310,7 +306,6 @@ def test_completeness(
             {
                 "a_batch_generate": False,
                 "init": {
-                    "n_samples": 2,
                     "normalise": False,
                     "disable_warnings": True,
                     "display_progressbar": False,
@@ -330,7 +325,6 @@ def test_completeness(
             {
                 "a_batch_generate": True,
                 "init": {
-                    "n_samples": 2,
                     "normalise": False,
                     "disable_warnings": True,
                     "display_progressbar": False,
@@ -350,7 +344,6 @@ def test_completeness(
             {
                 "a_batch_generate": False,
                 "init": {
-                    "n_samples": 1,
                     "eps": 1e-10,
                     "normalise": True,
                     "disable_warnings": True,
@@ -371,7 +364,6 @@ def test_completeness(
             {
                 "a_batch_generate": True,
                 "init": {
-                    "n_samples": 1,
                     "eps": 1e-10,
                     "normalise": True,
                     "disable_warnings": True,