fix(cached_acts): re-implement changes mistakenly removed in 71ff9f9

src/lm_saes/activation/processors/cached_activation.py

@@ -240,6 +240,15 @@ def process(self, data: None = None, **kwargs) -> Iterable[dict[str, Any]]:
                 for k, v in activations.items():
                     if k in self.hook_points:
                         activations[k] = v.to(self.dtype)
+
+            while activations["tokens"].ndim >= 3:
+                def flatten(x: torch.Tensor | list[list[Any]]) -> torch.Tensor | list[Any]:
+                    if isinstance(x, torch.Tensor):
+                        return x.flatten(start_dim=0, end_dim=1)
+                    else:
+                        return [a for b in x for a in b]
+                activations = {k: flatten(v) for k, v in activations.items()}
+
             yield activations  # Use pin_memory to load data on cpu, then transfer them to cuda in the main process, as advised in https://discuss.pytorch.org/t/dataloader-multiprocessing-with-dataset-returning-a-cuda-tensor/151022/2.
             # I wrote this utils function as I notice it is used multiple times in this repo. Do we need to apply it elsewhere?