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

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

Neuron 1490 in Layer 1

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

Text #0

Max Range: 0.0367. Min Range: -0.0367

Max Act: 0.0367. Min Act: -0.0006

Data Index: 1509654 (Python Code)

Max Activating Token Index: 393

Text #1

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Max Act: 0.0344. Min Act: -0.0006

Data Index: 1649023 (Python Code)

Max Activating Token Index: 381

Text #2

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Max Act: 0.0340. Min Act: -0.0006

Data Index: 1592766 (Python Code)

Max Activating Token Index: 886

Text #3

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Max Act: 0.0357. Min Act: -0.0006

Data Index: 1625793 (Python Code)

Max Activating Token Index: 646

Text #4

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Max Act: 0.0349. Min Act: -0.0006

Data Index: 1481389 (Python Code)

Max Activating Token Index: 55

Text #5

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Max Act: 0.0326. Min Act: -0.0006

Data Index: 1529143 (Python Code)

Max Activating Token Index: 635

Text #6

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Data Index: 1418375 (Python Code)

Max Activating Token Index: 301

Text #7

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Max Act: 0.0327. Min Act: -0.0006

Data Index: 1459704 (Python Code)

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Text #8

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Max Act: 0.0323. Min Act: -0.0006

Data Index: 1649187 (Python Code)

Max Activating Token Index: 690

Text #9

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Max Act: 0.0326. Min Act: -0.0006

Data Index: 1398494 (Python Code)

Max Activating Token Index: 503

Text #10

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Data Index: 1381145 (Python Code)

Max Activating Token Index: 488

Text #11

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Data Index: 1527651 (Python Code)

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Text #12

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Max Act: 0.0315. Min Act: -0.0006

Data Index: 1599785 (Python Code)

Max Activating Token Index: 464

Text #13

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Data Index: 1643733 (Python Code)

Max Activating Token Index: 291

Text #14

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Data Index: 1615856 (Python Code)

Max Activating Token Index: 430

Text #15

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Data Index: 1470294 (Python Code)

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Text #16

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Data Index: 1383499 (Python Code)

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Text #17

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Data Index: 1643697 (Python Code)

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Text #18

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Data Index: 61368 (C4 (Web Text))

Max Activating Token Index: 534

Text #19

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Max Act: 0.0323. Min Act: -0.0006

Data Index: 1378639 (Python Code)

Max Activating Token Index: 419