Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3666 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0384. Min Act: -0.0002

Data Index: 1069165 (C4 (Web Text))

Max Activating Token Index: 632

Text #1

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Max Activating Token Index: 615

Text #2

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Max Act: 0.0373. Min Act: -0.0002

Data Index: 314884 (C4 (Web Text))

Max Activating Token Index: 441

Text #3

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 595066 (C4 (Web Text))

Max Activating Token Index: 613

Text #4

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 435689 (C4 (Web Text))

Max Activating Token Index: 705

Text #5

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Max Act: 0.0328. Min Act: -0.0002

Data Index: 1269214 (C4 (Web Text))

Max Activating Token Index: 329

Text #6

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Data Index: 743766 (C4 (Web Text))

Max Activating Token Index: 202

Text #7

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Max Activating Token Index: 845

Text #8

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Max Activating Token Index: 896

Text #9

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Max Activating Token Index: 17

Text #10

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Data Index: 463336 (C4 (Web Text))

Max Activating Token Index: 527

Text #11

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Data Index: 692794 (C4 (Web Text))

Max Activating Token Index: 519

Text #12

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Data Index: 468275 (C4 (Web Text))

Max Activating Token Index: 82

Text #13

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Max Activating Token Index: 783

Text #14

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Data Index: 43642 (C4 (Web Text))

Max Activating Token Index: 863

Text #15

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Max Activating Token Index: 413

Text #16

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Text #17

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Max Activating Token Index: 628

Text #18

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Data Index: 525147 (C4 (Web Text))

Max Activating Token Index: 885

Text #19

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 772010 (C4 (Web Text))

Max Activating Token Index: 845