Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1978 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0783. Min Act: -0.0003

Data Index: 1251023 (C4 (Web Text))

Max Activating Token Index: 261

Text #1

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Max Activating Token Index: 109

Text #2

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Max Act: 0.0689. Min Act: -0.0003

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Max Activating Token Index: 313

Text #3

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Max Act: 0.0676. Min Act: -0.0003

Data Index: 782796 (C4 (Web Text))

Max Activating Token Index: 620

Text #4

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Max Activating Token Index: 408

Text #5

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Max Activating Token Index: 737

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Max Activating Token Index: 389

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Max Activating Token Index: 500

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Text #13

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Max Activating Token Index: 620

Text #14

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Text #19

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Data Index: 175828 (C4 (Web Text))

Max Activating Token Index: 910