diff --git a/sbi/analysis/conditional_density.py b/sbi/analysis/conditional_density.py
index fcf97a17f..293271df5 100644
--- a/sbi/analysis/conditional_density.py
+++ b/sbi/analysis/conditional_density.py
@@ -293,11 +293,8 @@ def conditional_potential(
 
     condition = atleast_2d_float32_tensor(condition)
 
-    # Transform the `condition` to unconstrained space.
-    transformed_condition = theta_transform(condition)
-
     conditioned_potential_fn = ConditionedPotential(
-        potential_fn, transformed_condition, dims_to_sample  # type: ignore
+        potential_fn, condition, dims_to_sample  # type: ignore
     )
 
     restricted_prior = RestrictedPriorForConditional(prior, dims_to_sample)
diff --git a/tests/linearGaussian_snpe_test.py b/tests/linearGaussian_snpe_test.py
index a619de8b1..f0623e269 100644
--- a/tests/linearGaussian_snpe_test.py
+++ b/tests/linearGaussian_snpe_test.py
@@ -12,7 +12,7 @@
 
 from sbi import analysis as analysis
 from sbi import utils as utils
-from sbi.analysis import ConditionedMDN, conditonal_potential
+from sbi.analysis import ConditionedMDN, conditional_potential
 from sbi.inference import (
     SNPE_A,
     SNPE_B,
@@ -468,7 +468,11 @@ def simulator(theta):
     potential_fn, theta_transform = posterior_estimator_based_potential(
         posterior_estimator, prior=prior, x_o=x_o
     )
-    (conditioned_potential_fn, restricted_tf, restricted_prior,) = conditonal_potential(
+    (
+        conditioned_potential_fn,
+        restricted_tf,
+        restricted_prior,
+    ) = conditional_potential(
         potential_fn=potential_fn,
         theta_transform=theta_transform,
         prior=prior,