diff --git a/keras_core/layers/activations/leaky_relu.py b/keras_core/layers/activations/leaky_relu.py
index 52ff66138..257a82551 100644
--- a/keras_core/layers/activations/leaky_relu.py
+++ b/keras_core/layers/activations/leaky_relu.py
@@ -7,15 +7,17 @@ from keras_core.layers.layer import Layer
 class LeakyReLU(Layer):
     """Leaky version of a Rectified Linear Unit activation layer.
 
-    The layer allows a small gradient when the unit is not active.
+    This layer allows a small gradient when the unit is not active.
 
     Formula:
+
     ``` python
     f(x) = alpha * x if x < 0
     f(x) = x if x >= 0
     ```
 
     Example:
+
     ``` python
     leaky_relu_layer = LeakyReLU(negative_slope=0.5)
     input = np.array([-10, -5, 0.0, 5, 10])
@@ -36,8 +38,8 @@ class LeakyReLU(Layer):
         if negative_slope is None:
             raise ValueError(
                 "The negative_slope value of a Leaky ReLU layer "
-                "cannot be None, Expecting a float. Received "
-                f"negative_slope: {negative_slope}"
+                "cannot be None, Expecting a float. Received: "
+                f"negative_slope={negative_slope}"
             )
         self.supports_masking = True
         self.negative_slope = negative_slope
diff --git a/keras_core/layers/activations/leaky_relu_test.py b/keras_core/layers/activations/leaky_relu_test.py
index 926771201..44eae0505 100644
--- a/keras_core/layers/activations/leaky_relu_test.py
+++ b/keras_core/layers/activations/leaky_relu_test.py
@@ -25,8 +25,7 @@ class LeakyReLUTest(testing.TestCase):
     def test_invalid_usage(self):
         with self.assertRaisesRegex(
             ValueError,
-            "The negative_slope value of a Leaky ReLU layer cannot be None, "
-            "Expecting a float. Received negative_slope: None",
+            "The negative_slope value of a Leaky ReLU layer cannot be None",
         ):
             self.run_layer_test(
                 leaky_relu.LeakyReLU,