Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 89 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0340. Min Act: -0.0005

Data Index: 1255791 (C4 (Web Text))

Max Activating Token Index: 328

Text #1

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Data Index: 146745 (C4 (Web Text))

Max Activating Token Index: 681

Text #2

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Max Act: 0.0298. Min Act: -0.0006

Data Index: 1279288 (C4 (Web Text))

Max Activating Token Index: 305

Text #3

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Max Act: 0.0289. Min Act: -0.0006

Data Index: 315241 (C4 (Web Text))

Max Activating Token Index: 610

Text #4

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Max Act: 0.0287. Min Act: -0.0006

Data Index: 67174 (C4 (Web Text))

Max Activating Token Index: 52

Text #5

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Max Activating Token Index: 743

Text #6

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Max Activating Token Index: 236

Text #7

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Max Activating Token Index: 48

Text #8

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Max Activating Token Index: 214

Text #9

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Max Activating Token Index: 157

Text #10

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Max Activating Token Index: 30

Text #11

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Max Activating Token Index: 483

Text #12

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Max Activating Token Index: 518

Text #13

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Max Activating Token Index: 808

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 361

Text #18

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Data Index: 130538 (C4 (Web Text))

Max Activating Token Index: 979

Text #19

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Data Index: 1130051 (C4 (Web Text))

Max Activating Token Index: 186