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

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

Neuron 4522 in Layer 1

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

Text #0

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Max Act: 0.0206. Min Act: -0.0002

Data Index: 1404586 (Python Code)

Max Activating Token Index: 554

Text #1

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 1400845 (Python Code)

Max Activating Token Index: 500

Text #2

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1400202 (Python Code)

Max Activating Token Index: 680

Text #3

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1566382 (Python Code)

Max Activating Token Index: 819

Text #4

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 1500256 (Python Code)

Max Activating Token Index: 310

Text #5

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1572148 (Python Code)

Max Activating Token Index: 386

Text #6

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 1606707 (Python Code)

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Text #7

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Data Index: 1485110 (Python Code)

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Text #8

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Data Index: 1607046 (Python Code)

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Text #9

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Data Index: 1573481 (Python Code)

Max Activating Token Index: 25

Text #10

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Data Index: 1559377 (Python Code)

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Text #11

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Data Index: 1585397 (Python Code)

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Text #12

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Data Index: 1526517 (Python Code)

Max Activating Token Index: 546

Text #13

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Data Index: 922610 (C4 (Web Text))

Max Activating Token Index: 97

Text #14

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Data Index: 1566709 (Python Code)

Max Activating Token Index: 370

Text #15

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Data Index: 1652142 (Python Code)

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Text #16

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Data Index: 1550593 (Python Code)

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Text #17

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Data Index: 1640543 (Python Code)

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Text #18

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Data Index: 1378554 (Python Code)

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Text #19

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Data Index: 685301 (C4 (Web Text))

Max Activating Token Index: 663