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

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

Neuron 1255 in Layer 2

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

Text #0

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Max Act: 0.0652. Min Act: -0.0003

Data Index: 38465 (C4 (Web Text))

Max Activating Token Index: 478

Text #1

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Data Index: 919396 (C4 (Web Text))

Max Activating Token Index: 628

Text #2

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Max Act: 0.0567. Min Act: -0.0002

Data Index: 545327 (C4 (Web Text))

Max Activating Token Index: 978

Text #3

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 1289787 (C4 (Web Text))

Max Activating Token Index: 409

Text #4

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Max Act: 0.0568. Min Act: -0.0003

Data Index: 279157 (C4 (Web Text))

Max Activating Token Index: 181

Text #5

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Data Index: 412138 (C4 (Web Text))

Max Activating Token Index: 861

Text #6

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Text #7

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Max Activating Token Index: 844

Text #8

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Data Index: 129771 (C4 (Web Text))

Max Activating Token Index: 573

Text #9

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Data Index: 373981 (C4 (Web Text))

Max Activating Token Index: 343

Text #10

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Max Activating Token Index: 166

Text #11

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Max Activating Token Index: 789

Text #12

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Max Activating Token Index: 364

Text #13

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Data Index: 1332528 (C4 (Web Text))

Max Activating Token Index: 533

Text #14

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Data Index: 230254 (C4 (Web Text))

Max Activating Token Index: 395

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 97

Text #18

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Data Index: 1233391 (C4 (Web Text))

Max Activating Token Index: 118

Text #19

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Data Index: 673246 (C4 (Web Text))

Max Activating Token Index: 512