Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 221 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0808. Min Act: -0.0002

Data Index: 392289 (C4 (Web Text))

Max Activating Token Index: 441

Text #1

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Max Act: 0.0830. Min Act: -0.0002

Data Index: 112296 (C4 (Web Text))

Max Activating Token Index: 80

Text #2

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Max Act: 0.0835. Min Act: -0.0003

Data Index: 18739 (C4 (Web Text))

Max Activating Token Index: 131

Text #3

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Max Act: 0.0748. Min Act: -0.0002

Data Index: 311280 (C4 (Web Text))

Max Activating Token Index: 618

Text #4

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Max Act: 0.0787. Min Act: -0.0002

Data Index: 306584 (C4 (Web Text))

Max Activating Token Index: 450

Text #5

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Max Act: 0.0748. Min Act: -0.0002

Data Index: 14991 (C4 (Web Text))

Max Activating Token Index: 487

Text #6

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Max Activating Token Index: 84

Text #7

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Max Activating Token Index: 33

Text #8

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Data Index: 495818 (C4 (Web Text))

Max Activating Token Index: 251

Text #9

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Data Index: 502594 (C4 (Web Text))

Max Activating Token Index: 88

Text #10

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Max Activating Token Index: 416

Text #11

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Max Activating Token Index: 733

Text #12

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Max Activating Token Index: 794

Text #13

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Data Index: 983236 (C4 (Web Text))

Max Activating Token Index: 118

Text #14

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Data Index: 540041 (C4 (Web Text))

Max Activating Token Index: 166

Text #15

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Text #16

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Max Activating Token Index: 468

Text #17

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Max Activating Token Index: 444

Text #18

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Data Index: 727980 (C4 (Web Text))

Max Activating Token Index: 104

Text #19

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Data Index: 289169 (C4 (Web Text))

Max Activating Token Index: 183