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

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

Neuron 168 in Layer 2

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



Text #0

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Max Act: 0.0650. Min Act: -0.0002

Data Index: 313323 (C4 (Web Text))

Max Activating Token Index: 563

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Text #1

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Data Index: 993960 (C4 (Web Text))

Max Activating Token Index: 673

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Text #2

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Max Act: 0.0572. Min Act: -0.0002

Data Index: 60198 (C4 (Web Text))

Max Activating Token Index: 109

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Text #3

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Max Act: 0.0476. Min Act: -0.0002

Data Index: 1599679 (Python Code)

Max Activating Token Index: 275

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Text #4

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Max Act: 0.0473. Min Act: -0.0002

Data Index: 875107 (C4 (Web Text))

Max Activating Token Index: 565

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Text #5

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Max Act: 0.0477. Min Act: -0.0002

Data Index: 1162489 (C4 (Web Text))

Max Activating Token Index: 248

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Text #6

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Data Index: 1352610 (C4 (Web Text))

Max Activating Token Index: 367

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Text #7

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Data Index: 270870 (C4 (Web Text))

Max Activating Token Index: 943

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Text #8

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Data Index: 78517 (C4 (Web Text))

Max Activating Token Index: 674

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Text #9

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Data Index: 522247 (C4 (Web Text))

Max Activating Token Index: 362

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Text #10

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Data Index: 655860 (C4 (Web Text))

Max Activating Token Index: 449

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Text #11

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Data Index: 1109053 (C4 (Web Text))

Max Activating Token Index: 482

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Text #12

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Data Index: 1171498 (C4 (Web Text))

Max Activating Token Index: 421

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Text #13

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Data Index: 1038156 (C4 (Web Text))

Max Activating Token Index: 924

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Text #14

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Data Index: 1579151 (Python Code)

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Text #15

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Data Index: 575693 (C4 (Web Text))

Max Activating Token Index: 9

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Text #16

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Data Index: 119987 (C4 (Web Text))

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Text #17

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Max Act: 0.0423. Min Act: -0.0002

Data Index: 351945 (C4 (Web Text))

Max Activating Token Index: 681

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Text #18

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Max Act: 0.0430. Min Act: -0.0002

Data Index: 435103 (C4 (Web Text))

Max Activating Token Index: 188

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Text #19

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Data Index: 1624209 (Python Code)

Max Activating Token Index: 577

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