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

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

Neuron 2964 in Layer 2

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

Text #0

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 1274045 (C4 (Web Text))

Max Activating Token Index: 104

Text #1

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Max Act: 0.0362. Min Act: -0.0002

Data Index: 411434 (C4 (Web Text))

Max Activating Token Index: 638

Text #2

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Max Act: 0.0375. Min Act: -0.0002

Data Index: 1251255 (C4 (Web Text))

Max Activating Token Index: 16

Text #3

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1230066 (C4 (Web Text))

Max Activating Token Index: 869

Text #4

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Max Act: 0.0370. Min Act: -0.0002

Data Index: 670615 (C4 (Web Text))

Max Activating Token Index: 522

Text #5

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Data Index: 286799 (C4 (Web Text))

Max Activating Token Index: 4

Text #6

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Max Activating Token Index: 765

Text #7

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Data Index: 336023 (C4 (Web Text))

Max Activating Token Index: 585

Text #8

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Max Activating Token Index: 786

Text #9

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Max Activating Token Index: 753

Text #10

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Data Index: 321153 (C4 (Web Text))

Max Activating Token Index: 845

Text #11

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Data Index: 158053 (C4 (Web Text))

Max Activating Token Index: 728

Text #12

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Data Index: 782000 (C4 (Web Text))

Max Activating Token Index: 363

Text #13

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Data Index: 972412 (C4 (Web Text))

Max Activating Token Index: 20

Text #14

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Max Activating Token Index: 74

Text #15

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Max Activating Token Index: 282

Text #16

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Max Activating Token Index: 103

Text #17

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Data Index: 29256 (C4 (Web Text))

Max Activating Token Index: 732

Text #18

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Data Index: 856235 (C4 (Web Text))

Max Activating Token Index: 480

Text #19

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Max Act: 0.0288. Min Act: -0.0002

Data Index: 959444 (C4 (Web Text))

Max Activating Token Index: 755