Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 2014 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0417. Min Act: -0.0002

Data Index: 1307570 (C4 (Web Text))

Max Activating Token Index: 538

Text #1

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Max Act: 0.0421. Min Act: -0.0003

Data Index: 384488 (C4 (Web Text))

Max Activating Token Index: 978

Text #2

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Max Act: 0.0369. Min Act: -0.0003

Data Index: 245544 (C4 (Web Text))

Max Activating Token Index: 484

Text #3

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Max Act: 0.0366. Min Act: -0.0003

Data Index: 1225245 (C4 (Web Text))

Max Activating Token Index: 628

Text #4

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Max Act: 0.0350. Min Act: -0.0003

Data Index: 756379 (C4 (Web Text))

Max Activating Token Index: 311

Text #5

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Max Act: 0.0352. Min Act: -0.0003

Data Index: 181095 (C4 (Web Text))

Max Activating Token Index: 241

Text #6

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Max Activating Token Index: 749

Text #7

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Data Index: 355951 (C4 (Web Text))

Max Activating Token Index: 972

Text #8

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Max Activating Token Index: 268

Text #9

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Max Activating Token Index: 553

Text #10

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Max Activating Token Index: 878

Text #11

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Max Activating Token Index: 864

Text #12

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Max Activating Token Index: 616

Text #13

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Max Activating Token Index: 379

Text #14

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Max Activating Token Index: 438

Text #15

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Text #16

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Max Activating Token Index: 995

Text #17

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Max Activating Token Index: 70

Text #18

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Max Activating Token Index: 684

Text #19

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Data Index: 792950 (C4 (Web Text))

Max Activating Token Index: 668