Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3595 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0628. Min Act: -0.0002

Data Index: 1397995 (Python Code)

Max Activating Token Index: 16

Text #1

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Max Act: 0.0482. Min Act: -0.0002

Data Index: 1629791 (Python Code)

Max Activating Token Index: 26

Text #2

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Max Act: 0.0416. Min Act: -0.0002

Data Index: 1532425 (Python Code)

Max Activating Token Index: 677

Text #3

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Max Act: 0.0408. Min Act: -0.0001

Data Index: 1490745 (Python Code)

Max Activating Token Index: 723

Text #4

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Max Act: 0.0398. Min Act: -0.0002

Data Index: 1446251 (Python Code)

Max Activating Token Index: 62

Text #5

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Max Act: 0.0414. Min Act: -0.0002

Data Index: 1576341 (Python Code)

Max Activating Token Index: 716

Text #6

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Data Index: 1582780 (Python Code)

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Text #7

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Data Index: 1459306 (Python Code)

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Text #8

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Data Index: 1646869 (Python Code)

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Text #9

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Data Index: 1428558 (Python Code)

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Text #10

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Data Index: 1474127 (Python Code)

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Text #11

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Data Index: 1504969 (Python Code)

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Text #12

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Data Index: 1524929 (Python Code)

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Text #13

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Data Index: 1607373 (Python Code)

Max Activating Token Index: 552

Text #14

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Data Index: 1590440 (Python Code)

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Text #15

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Data Index: 1467077 (Python Code)

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Text #16

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Data Index: 1516570 (Python Code)

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Text #17

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Data Index: 1618567 (Python Code)

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Text #18

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Data Index: 1416907 (Python Code)

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Text #19

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Max Act: 0.0358. Min Act: -0.0002

Data Index: 1656428 (Python Code)

Max Activating Token Index: 934