Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1418 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0134. Min Act: -0.0005

Data Index: 88474 (C4 (Web Text))

Max Activating Token Index: 805

Text #1

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Max Act: 0.0129. Min Act: -0.0005

Data Index: 1211390 (C4 (Web Text))

Max Activating Token Index: 857

Text #2

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Max Act: 0.0131. Min Act: -0.0005

Data Index: 1238654 (C4 (Web Text))

Max Activating Token Index: 237

Text #3

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Max Act: 0.0130. Min Act: -0.0005

Data Index: 476590 (C4 (Web Text))

Max Activating Token Index: 843

Text #4

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Data Index: 762515 (C4 (Web Text))

Max Activating Token Index: 1007

Text #5

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Data Index: 457669 (C4 (Web Text))

Max Activating Token Index: 137

Text #6

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Data Index: 698593 (C4 (Web Text))

Max Activating Token Index: 414

Text #7

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Data Index: 1144072 (C4 (Web Text))

Max Activating Token Index: 441

Text #8

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Data Index: 305580 (C4 (Web Text))

Max Activating Token Index: 874

Text #9

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Data Index: 227908 (C4 (Web Text))

Max Activating Token Index: 520

Text #10

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Data Index: 160791 (C4 (Web Text))

Max Activating Token Index: 541

Text #11

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Max Activating Token Index: 474

Text #12

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Max Activating Token Index: 511

Text #13

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Max Activating Token Index: 987

Text #14

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Max Activating Token Index: 390

Text #15

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Max Activating Token Index: 588

Text #16

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Max Activating Token Index: 255

Text #17

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Max Activating Token Index: 268

Text #18

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Data Index: 347268 (C4 (Web Text))

Max Activating Token Index: 393

Text #19

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Data Index: 312809 (C4 (Web Text))

Max Activating Token Index: 902