neuron_explainer/activations/hook_graph.py [212:230]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def append(
        self,
        activation_location_type_and_pass_type: ActivationLocationTypeAndPassType,
        hook: Callable,
        layer_indices: int | list[int] | None = None,
        append_to_fwd2: bool = False,
    ) -> None:
        activation_location_type = activation_location_type_and_pass_type.activation_location_type
        pass_type = activation_location_type_and_pass_type.pass_type

        if layer_indices is not None:
            assert (
                not activation_location_type.has_no_layers
            ), f"activation_location_type: {activation_location_type}, layer_indices: {layer_indices}"
            hook = AtLayers(layer_indices).append(hook)

        assert (
            activation_location_type in self.activation_locations
        ), f"{activation_location_type} not in {self.activation_locations}"
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



neuron_explainer/activations/hook_graph.py [281:299]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def append(
        self,
        activation_location_type_and_pass_type: ActivationLocationTypeAndPassType,
        hook: Callable,
        layer_indices: int | list[int] | None = None,
        append_to_fwd2: bool = False,
    ) -> None:
        activation_location_type = activation_location_type_and_pass_type.activation_location_type
        pass_type = activation_location_type_and_pass_type.pass_type

        if layer_indices is not None:
            assert (
                not activation_location_type.has_no_layers
            ), f"activation_location_type: {activation_location_type}, layer_indices: {layer_indices}"
            hook = AtLayers(layer_indices).append(hook)

        assert (
            activation_location_type in self.activation_locations
        ), f"{activation_location_type} not in {self.activation_locations}"
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -