diff --git a/aleph_alpha_client/completion.py b/aleph_alpha_client/completion.py
index a8e31ca..95d5b40 100644
--- a/aleph_alpha_client/completion.py
+++ b/aleph_alpha_client/completion.py
@@ -177,8 +177,8 @@ class CompletionRequest:
             return the optimized completion in the completion field of the CompletionResponse.
             The raw completion, if returned, will contain the un-optimized completion.
 
-        steering_concepts_to_apply (Optional[list[str]], default None)
-            Names of the steering vectors to apply on this task. This steers the output in the 
+        steering_concepts (Optional[list[str]], default None)
+            Names of the steering vectors to apply on this task. This steers the output in the
             direction given by positive examples, and away from negative examples if provided.
 
     Examples:
@@ -219,7 +219,7 @@ class CompletionRequest:
     control_log_additive: Optional[bool] = True
     repetition_penalties_include_completion: bool = True
     raw_completion: bool = False
-    steering_concepts_to_apply: Optional[List[str]] = None
+    steering_concepts: Optional[List[str]] = None
 
     def to_json(self) -> Mapping[str, Any]:
         payload = {k: v for k, v in self._asdict().items() if v is not None}
diff --git a/tests/test_complete.py b/tests/test_complete.py
index cc5eca3..41db92a 100644
--- a/tests/test_complete.py
+++ b/tests/test_complete.py
@@ -188,3 +188,21 @@ def test_num_tokens_generated_with_best_of(sync_client: Client, model_name: str)
     number_tokens_completion = len(completion_result.completion_tokens)
 
     assert response.num_tokens_generated == best_of * number_tokens_completion
+
+
+@pytest.mark.system_test
+def test_steering_completion(sync_client: Client, chat_model_name: str):
+    request = CompletionRequest(
+        prompt=Prompt.from_text(
+            "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\nParaphrase the following phrase. You are an honest man.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
+        ),
+        steering_concepts=["shakespeare"],
+        maximum_tokens=16,
+    )
+
+    response = sync_client.complete(request, model=chat_model_name)
+    completion_result = response.completions[0]
+    assert completion_result.completion is not None
+    assert (
+        "art" in completion_result.completion
+    ), "Steered completion should contain Shakespearean language like 'art' for this particular phrase."