diff --git a/tests/models/language/pooling/test_embedding.py b/tests/models/language/pooling/test_embedding.py
index 982dc73f6..e105195af 100644
--- a/tests/models/language/pooling/test_embedding.py
+++ b/tests/models/language/pooling/test_embedding.py
@@ -54,7 +54,7 @@ def test_models(
     vllm_extra_kwargs = {}
     if model == "ssmits/Qwen2-7B-Instruct-embed-base":
         vllm_extra_kwargs["pooler_config"] = PoolerConfig(
-            seq_pooling_type="MEAN", normalize=False
+            seq_pooling_type="MEAN", use_activation=False
         )
 
     max_model_len: int | None = 512
diff --git a/vllm/entrypoints/llm.py b/vllm/entrypoints/llm.py
index f3f774bef..24545de19 100644
--- a/vllm/entrypoints/llm.py
+++ b/vllm/entrypoints/llm.py
@@ -174,8 +174,8 @@ class LLM:
             multi-modal processor obtained from `AutoProcessor.from_pretrained`.
             The available overrides depend on the model that is being run.
             For example, for Phi-3-Vision: `{"num_crops": 4}`.
-        pooler_config: Initialize non-default pooling config for the pooling
-            model. e.g. `PoolerConfig(seq_pooling_type="MEAN", normalize=False)`.
+        pooler_config: Initialize non-default pooling config for the pooling model,
+            e.g., `PoolerConfig(seq_pooling_type="MEAN", use_activation=False)`.
         compilation_config: Either an integer or a dictionary. If it is an
             integer, it is used as the mode of compilation optimization. If it
             is a dictionary, it can specify the full compilation configuration.