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

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

Neuron 136 in Layer 2

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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: 23864 (C4 (Web Text))

Max Activating Token Index: 326

Text #1

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 1003743 (C4 (Web Text))

Max Activating Token Index: 799

Text #2

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Max Act: 0.0399. Min Act: -0.0002

Data Index: 1083450 (C4 (Web Text))

Max Activating Token Index: 735

Text #3

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Max Act: 0.0362. Min Act: -0.0002

Data Index: 960441 (C4 (Web Text))

Max Activating Token Index: 583

Text #4

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Data Index: 137204 (C4 (Web Text))

Max Activating Token Index: 502

Text #5

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Data Index: 526464 (C4 (Web Text))

Max Activating Token Index: 204

Text #6

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Max Activating Token Index: 353

Text #7

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Max Activating Token Index: 459

Text #8

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Max Activating Token Index: 310

Text #9

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Max Activating Token Index: 1004

Text #10

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Max Activating Token Index: 107

Text #11

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Max Activating Token Index: 1022

Text #12

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Max Activating Token Index: 470

Text #13

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Data Index: 157127 (C4 (Web Text))

Max Activating Token Index: 220

Text #14

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Max Activating Token Index: 722

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 573

Text #18

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Text #19

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Data Index: 148654 (C4 (Web Text))

Max Activating Token Index: 349