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

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

Neuron 1538 in Layer 2

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



Text #0

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Max Act: 0.2160. Min Act: -0.0002

Data Index: 1595594 (Python Code)

Max Activating Token Index: 912

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Text #1

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Max Act: 0.2021. Min Act: -0.0002

Data Index: 238951 (C4 (Web Text))

Max Activating Token Index: 42

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Text #2

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Max Act: 0.1883. Min Act: -0.0002

Data Index: 743863 (C4 (Web Text))

Max Activating Token Index: 131

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Text #3

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Max Act: 0.1932. Min Act: -0.0002

Data Index: 33089 (C4 (Web Text))

Max Activating Token Index: 56

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Text #4

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Max Act: 0.1893. Min Act: -0.0002

Data Index: 1098532 (C4 (Web Text))

Max Activating Token Index: 402

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Text #5

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Data Index: 371059 (C4 (Web Text))

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Text #6

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Data Index: 131105 (C4 (Web Text))

Max Activating Token Index: 314

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Text #7

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Data Index: 1258390 (C4 (Web Text))

Max Activating Token Index: 745

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Text #8

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Data Index: 1555486 (Python Code)

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Text #9

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Data Index: 196407 (C4 (Web Text))

Max Activating Token Index: 867

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Text #10

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Data Index: 493516 (C4 (Web Text))

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Text #11

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Data Index: 1079822 (C4 (Web Text))

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Text #12

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Data Index: 193358 (C4 (Web Text))

Max Activating Token Index: 892

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Text #13

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Data Index: 1118103 (C4 (Web Text))

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Text #14

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Data Index: 739577 (C4 (Web Text))

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Text #15

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Data Index: 385274 (C4 (Web Text))

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Text #16

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Data Index: 33286 (C4 (Web Text))

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Text #17

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Max Act: 0.1731. Min Act: -0.0002

Data Index: 425246 (C4 (Web Text))

Max Activating Token Index: 664

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Text #18

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Max Act: 0.1443. Min Act: -0.0002

Data Index: 157499 (C4 (Web Text))

Max Activating Token Index: 713

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Text #19

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Data Index: 1047381 (C4 (Web Text))

Max Activating Token Index: 515

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