diff --git a/metastable_projections/projections/base_projection_layer.py b/metastable_projections/projections/base_projection_layer.py
index 6da8269..0162710 100644
--- a/metastable_projections/projections/base_projection_layer.py
+++ b/metastable_projections/projections/base_projection_layer.py
@@ -13,7 +13,7 @@ class BaseProjectionLayer(object):
                  mean_bound: float = 0.03,
                  cov_bound: float = 1e-3,
                  trust_region_coeff: float = 1.0,
-                 scale_prec: bool = True,
+                 scale_prec: bool = False,
                  do_entropy_proj: bool = False,
                  entropy_eq: bool = False,
                  entropy_first: bool = False,
@@ -26,6 +26,10 @@ class BaseProjectionLayer(object):
         self.scale_prec = scale_prec
         self.mean_eq = False
 
+        assert not entropy_eq, 'Sorry pal; thats actually not implemented yet.'
+        assert not entropy_first, 'Sorry pal; thats actually not implemented yet.'
+        assert not do_entropy_proj, 'Sorry pal; thats actually not implemented yet.'
+
         self.entropy_first = entropy_first
         self.entropy_proj = entropy_equality_projection if entropy_eq else entropy_inequality_projection
 
@@ -63,6 +67,7 @@ class BaseProjectionLayer(object):
 
         ####################################################################################################################
         # entropy projection in the end
+
         if not self.do_entropy_proj or self.entropy_first:
             return new_p
 
@@ -81,7 +86,7 @@ class BaseProjectionLayer(object):
         Returns:
             projected_dist, old_dist (from rollouts)
         """
-        old_distribution = self.new_dist_like(dist, rollout_data.means, rollout_data.cov_decomps)
+        old_distribution = self.new_dist_like(dist, rollout_data.mean, rollout_data.cov_decomp)
         return self(dist, old_distribution, **kwargs), old_distribution
 
     def _trust_region_projection(self, p, q, eps: th.Tensor, eps_cov: th.Tensor, **kwargs):