diff --git a/tensorflow/compiler/mlir/lite/utils/lstm_utils.cc b/tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
index 3f52c373f42..d98101bd4cb 100644
--- a/tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
+++ b/tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
@@ -236,7 +236,7 @@ void ConvertLSTMCellSimpleToFusedLSTM::SetProjection() {
 void ConvertLSTMCellSimpleToFusedLSTM::SetProjectionBias() {
   proj_bias_ = !projection_type_
                    ? none_
-                   : CreateI32SplatConst(&builder_, {n_output_}, 0,
+                   : CreateF32SplatConst(&builder_, {n_output_}, 0,
                                          fused_func_op_.getLoc());
 }
 
diff --git a/tensorflow/compiler/mlir/lite/utils/lstm_utils_test.cc b/tensorflow/compiler/mlir/lite/utils/lstm_utils_test.cc
index 072a057556e..56d6ab1f8ab 100644
--- a/tensorflow/compiler/mlir/lite/utils/lstm_utils_test.cc
+++ b/tensorflow/compiler/mlir/lite/utils/lstm_utils_test.cc
@@ -135,6 +135,12 @@ TEST_F(LstmUtilsTest, ConvertLSTMCellSimple) {
   EXPECT_FALSE(return_op->getOperand(1)->getType().isa<NoneType>());
   // input layer norm is None
   EXPECT_TRUE(return_op->getOperand(20)->getType().isa<NoneType>());
+  // proj_bias is F32
+  EXPECT_TRUE(return_op->getOperand(17)
+                  ->getType()
+                  .cast<RankedTensorType>()
+                  .getElementType()
+                  .isF32());
 
   EXPECT_EQ(fused_lstm_func_.getType().getNumResults(), 1);
   auto output_types = fused_lstm_func_.getType().getResults();