def __eq__(self, other: Any) -> bool:
        """
        note that this uses torch.allclose, rather than checking for precise equality
        """
        if not isinstance(other, DerivedScalarStore):
            return False

        dst_and_pts = self.activations_and_metadata_by_dst_and_pass_type.keys()
        other_dst_and_pts = other.activations_and_metadata_by_dst_and_pass_type.keys()
        if not set(dst_and_pts) == set(other_dst_and_pts):
            return False

        for dst_and_pt in dst_and_pts:
            if (
                not self.activations_and_metadata_by_dst_and_pass_type[dst_and_pt]
                == other.activations_and_metadata_by_dst_and_pass_type[dst_and_pt]
            ):
                return False

        return True

        note that this uses torch.allclose, rather than checking for precise equality
        
neuron_explainer/activations/derived_scalars/derived_scalar_store.py