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

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

Neuron 3753 in Layer 0

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

Text #0

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Max Act: 0.0020. Min Act: -0.0002

Data Index: 92174 (C4 (Web Text))

Max Activating Token Index: 876

Text #1

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Data Index: 889514 (C4 (Web Text))

Max Activating Token Index: 943

Text #2

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Data Index: 963996 (C4 (Web Text))

Max Activating Token Index: 904

Text #3

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Max Act: 0.0017. Min Act: -0.0002

Data Index: 706981 (C4 (Web Text))

Max Activating Token Index: 918

Text #4

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Max Act: 0.0017. Min Act: -0.0002

Data Index: 171636 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0017. Min Act: -0.0002

Data Index: 297698 (C4 (Web Text))

Max Activating Token Index: 1023

Text #6

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Data Index: 1250369 (C4 (Web Text))

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Text #7

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Data Index: 1034211 (C4 (Web Text))

Max Activating Token Index: 921

Text #8

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Max Activating Token Index: 925

Text #9

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Data Index: 449677 (C4 (Web Text))

Max Activating Token Index: 1023

Text #10

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Data Index: 1120440 (C4 (Web Text))

Max Activating Token Index: 934

Text #11

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Data Index: 1339407 (C4 (Web Text))

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Text #12

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Data Index: 266544 (C4 (Web Text))

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Text #13

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Data Index: 512394 (C4 (Web Text))

Max Activating Token Index: 801

Text #14

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Text #15

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Data Index: 403246 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1138111 (C4 (Web Text))

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Text #18

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Data Index: 368689 (C4 (Web Text))

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Text #19

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Data Index: 785590 (C4 (Web Text))

Max Activating Token Index: 881