diff --git a/configs/example.yaml b/configs/example.yaml
index 1d92882d..d98cc52e 100644
--- a/configs/example.yaml
+++ b/configs/example.yaml
@@ -14,7 +14,7 @@ default_dtype: float32
 # network
 r_max: 4.0                                                                        # cutoff radius in length units, here Angstrom, this is an important hyperparamter to scan
 num_layers: 4                                                                     # number of interaction blocks, we find 3-5 to work best
-l_max: 1                                                                          # the maximum irrep order (rotation order) for the network's features, l=1 is a good default, l=2 is more accurate but slower
+l_max: 2                                                                          # the maximum irrep order (rotation order) for the network's features, l=2 is accurate but slower, l=1 if you want to be faster but less accurte
 parity: true                                                                      # whether to include features with odd mirror parity; often turning parity off gives equally good results but faster networks, so do consider this
 num_features: 32                                                                  # the multiplicity of the features, 32 is a good default for accurate network, if you want to be more accurate, go larger, if you want to be faster, go lower
 nonlinearity_type: gate                                                           # may be 'gate' or 'norm', 'gate' is recommended