The Robust Middle Child

You're choosing a loss function for linear regression on a dataset with a mix of clean data and a handful of large outliers. Which loss function behaves like squared error for small residuals but switches to a linear penalty for large residuals, giving robustness to outliers while remaining differentiable everywhere?