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

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

Neuron 76 in Layer 1

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

Text #0

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Max Act: 0.0530. Min Act: -0.0003

Data Index: 1110684 (C4 (Web Text))

Max Activating Token Index: 302

Text #1

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Max Activating Token Index: 722

Text #2

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Max Act: 0.0461. Min Act: -0.0004

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Max Activating Token Index: 366

Text #3

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Max Act: 0.0467. Min Act: -0.0003

Data Index: 1032820 (C4 (Web Text))

Max Activating Token Index: 298

Text #4

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Data Index: 452060 (C4 (Web Text))

Max Activating Token Index: 211

Text #5

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Data Index: 443506 (C4 (Web Text))

Max Activating Token Index: 417

Text #6

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Max Activating Token Index: 431

Text #7

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Text #8

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Max Activating Token Index: 846

Text #9

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Max Activating Token Index: 243

Text #10

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Text #11

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Max Activating Token Index: 523

Text #12

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Max Activating Token Index: 426

Text #13

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Max Activating Token Index: 536

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 451

Text #18

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Max Activating Token Index: 537

Text #19

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Data Index: 365334 (C4 (Web Text))

Max Activating Token Index: 59