neuron_explainer/activations/derived_scalars/multi_pass_scalar_deriver.py [114:129]:
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    pass_type: PassType
    layer_indexer: LayerIndexer

    @property
    @abstractmethod
    def exists_by_default(self) -> bool:
        # returns True if the activation is instantiated by default in a normal transformer forward pass
        # this is False for activations related to autoencoders or for non-trivial derived scalars
        pass

    @property
    @abstractmethod
    def dst(self) -> DerivedScalarType:
        pass

    @property
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neuron_explainer/activations/derived_scalars/scalar_deriver.py [42:57]:
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    pass_type: PassType
    layer_indexer: LayerIndexer

    @property
    @abstractmethod
    def exists_by_default(self) -> bool:
        # returns True if the activation is instantiated by default in a normal transformer forward pass
        # this is False for activations related to autoencoders or for non-trivial derived scalars
        pass

    @property
    @abstractmethod
    def dst(self) -> DerivedScalarType:
        pass

    @property
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