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

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

Neuron 815 in Layer 0

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

Text #0

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Max Act: 0.0578. Min Act: -0.0004

Data Index: 357127 (C4 (Web Text))

Max Activating Token Index: 58

Text #1

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Data Index: 106995 (C4 (Web Text))

Max Activating Token Index: 452

Text #2

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Max Act: 0.0474. Min Act: -0.0004

Data Index: 1053200 (C4 (Web Text))

Max Activating Token Index: 32

Text #3

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Max Act: 0.0455. Min Act: -0.0004

Data Index: 806649 (C4 (Web Text))

Max Activating Token Index: 503

Text #4

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Max Act: 0.0441. Min Act: -0.0004

Data Index: 466568 (C4 (Web Text))

Max Activating Token Index: 210

Text #5

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Max Act: 0.0445. Min Act: -0.0004

Data Index: 355840 (C4 (Web Text))

Max Activating Token Index: 619

Text #6

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Max Activating Token Index: 807

Text #7

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Max Activating Token Index: 611

Text #8

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Max Activating Token Index: 244

Text #9

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Max Activating Token Index: 40

Text #10

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Max Activating Token Index: 223

Text #11

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Max Activating Token Index: 175

Text #12

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Max Activating Token Index: 480

Text #13

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Data Index: 252184 (C4 (Web Text))

Max Activating Token Index: 309

Text #14

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Max Activating Token Index: 38

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 240

Text #18

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Data Index: 705155 (C4 (Web Text))

Max Activating Token Index: 384

Text #19

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Data Index: 419794 (C4 (Web Text))

Max Activating Token Index: 239