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

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

Neuron 573 in Layer 0

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

Text #0

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Max Act: 0.0129. Min Act: -0.0004

Data Index: 1525572 (Python Code)

Max Activating Token Index: 360

Text #1

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Max Act: 0.0122. Min Act: -0.0004

Data Index: 1486680 (Python Code)

Max Activating Token Index: 637

Text #2

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Max Act: 0.0122. Min Act: -0.0004

Data Index: 1595254 (Python Code)

Max Activating Token Index: 110

Text #3

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 1362214 (Python Code)

Max Activating Token Index: 732

Text #4

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Max Act: 0.0120. Min Act: -0.0004

Data Index: 579679 (C4 (Web Text))

Max Activating Token Index: 936

Text #5

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Data Index: 1612828 (Python Code)

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Text #6

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Data Index: 1613548 (Python Code)

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Text #7

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Data Index: 1514440 (Python Code)

Max Activating Token Index: 586

Text #8

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Data Index: 1631110 (Python Code)

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Text #9

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Data Index: 1581449 (Python Code)

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Text #10

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Data Index: 1561794 (Python Code)

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Text #11

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Data Index: 487286 (C4 (Web Text))

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Text #12

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Data Index: 1513233 (Python Code)

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Text #13

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Data Index: 1455384 (Python Code)

Max Activating Token Index: 315

Text #14

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Data Index: 1591879 (Python Code)

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Text #15

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Data Index: 1523393 (Python Code)

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Text #16

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Data Index: 1651892 (Python Code)

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Text #17

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Data Index: 1547176 (Python Code)

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Text #18

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Data Index: 1591821 (Python Code)

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Text #19

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Data Index: 1382454 (Python Code)

Max Activating Token Index: 617