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

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

Neuron 1251 in Layer 1

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

Text #0

Max Range: 0.0488. Min Range: -0.0488

Max Act: 0.0466. Min Act: -0.0003

Data Index: 1399462 (Python Code)

Max Activating Token Index: 20

Text #1

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Max Act: 0.0483. Min Act: -0.0003

Data Index: 1549097 (Python Code)

Max Activating Token Index: 569

Text #2

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Max Act: 0.0488. Min Act: -0.0002

Data Index: 1506524 (Python Code)

Max Activating Token Index: 583

Text #3

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Max Act: 0.0468. Min Act: -0.0003

Data Index: 1467302 (Python Code)

Max Activating Token Index: 629

Text #4

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Max Act: 0.0472. Min Act: -0.0002

Data Index: 1489508 (Python Code)

Max Activating Token Index: 32

Text #5

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Max Act: 0.0461. Min Act: -0.0003

Data Index: 489316 (C4 (Web Text))

Max Activating Token Index: 566

Text #6

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Data Index: 1541236 (Python Code)

Max Activating Token Index: 844

Text #7

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Data Index: 1224685 (C4 (Web Text))

Max Activating Token Index: 1020

Text #8

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Data Index: 1350454 (C4 (Web Text))

Max Activating Token Index: 813

Text #9

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Data Index: 1478786 (Python Code)

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Text #10

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Data Index: 1622638 (Python Code)

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Text #11

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Data Index: 1452834 (Python Code)

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Text #12

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Data Index: 1387612 (Python Code)

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Text #13

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Data Index: 1503769 (Python Code)

Max Activating Token Index: 976

Text #14

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Data Index: 1066803 (C4 (Web Text))

Max Activating Token Index: 106

Text #15

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Data Index: 159160 (C4 (Web Text))

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Text #16

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Data Index: 1442885 (Python Code)

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Text #17

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Data Index: 1048779 (C4 (Web Text))

Max Activating Token Index: 115

Text #18

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Data Index: 1395680 (Python Code)

Max Activating Token Index: 296

Text #19

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Max Act: 0.0403. Min Act: -0.0003

Data Index: 1436640 (Python Code)

Max Activating Token Index: 431