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

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

Neuron 1017 in Layer 2

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

Text #0

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Max Act: 0.0793. Min Act: -0.0003

Data Index: 654819 (C4 (Web Text))

Max Activating Token Index: 244

Text #1

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Max Act: 0.0579. Min Act: -0.0002

Data Index: 1358154 (C4 (Web Text))

Max Activating Token Index: 478

Text #2

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Max Act: 0.0539. Min Act: -0.0003

Data Index: 979012 (C4 (Web Text))

Max Activating Token Index: 37

Text #3

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Max Act: 0.0481. Min Act: -0.0004

Data Index: 466272 (C4 (Web Text))

Max Activating Token Index: 802

Text #4

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Max Activating Token Index: 983

Text #5

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Max Activating Token Index: 854

Text #6

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Max Activating Token Index: 852

Text #7

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Max Activating Token Index: 793

Text #8

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Max Activating Token Index: 156

Text #9

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Data Index: 844533 (C4 (Web Text))

Max Activating Token Index: 146

Text #10

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Data Index: 879840 (C4 (Web Text))

Max Activating Token Index: 689

Text #11

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Data Index: 413355 (C4 (Web Text))

Max Activating Token Index: 526

Text #12

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Max Activating Token Index: 310

Text #13

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Max Activating Token Index: 459

Text #14

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Max Activating Token Index: 343

Text #15

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Max Activating Token Index: 374

Text #16

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Max Activating Token Index: 157

Text #17

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Data Index: 496290 (C4 (Web Text))

Max Activating Token Index: 530

Text #18

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Max Activating Token Index: 204

Text #19

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Data Index: 1246529 (C4 (Web Text))

Max Activating Token Index: 178