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

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

Neuron 1793 in Layer 0

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

Text #0

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Max Act: 0.0410. Min Act: -0.0002

Data Index: 1195083 (C4 (Web Text))

Max Activating Token Index: 38

Text #1

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Max Act: 0.0409. Min Act: -0.0002

Data Index: 1312852 (C4 (Web Text))

Max Activating Token Index: 33

Text #2

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Max Act: 0.0404. Min Act: -0.0002

Data Index: 1333397 (C4 (Web Text))

Max Activating Token Index: 505

Text #3

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 1347167 (C4 (Web Text))

Max Activating Token Index: 814

Text #4

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Max Act: 0.0374. Min Act: -0.0002

Data Index: 1228284 (C4 (Web Text))

Max Activating Token Index: 106

Text #5

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Max Act: 0.0384. Min Act: -0.0002

Data Index: 176882 (C4 (Web Text))

Max Activating Token Index: 757

Text #6

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Data Index: 720303 (C4 (Web Text))

Max Activating Token Index: 59

Text #7

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Max Activating Token Index: 154

Text #8

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Max Activating Token Index: 910

Text #9

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Max Activating Token Index: 146

Text #10

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Data Index: 776553 (C4 (Web Text))

Max Activating Token Index: 201

Text #11

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Data Index: 1020762 (C4 (Web Text))

Max Activating Token Index: 554

Text #12

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Max Activating Token Index: 82

Text #13

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Data Index: 185796 (C4 (Web Text))

Max Activating Token Index: 271

Text #14

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Data Index: 279408 (C4 (Web Text))

Max Activating Token Index: 55

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 980

Text #18

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Max Activating Token Index: 756

Text #19

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Data Index: 147349 (C4 (Web Text))

Max Activating Token Index: 116