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

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

Neuron 2003 in Layer 0

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

Text #0

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Max Act: 0.0171. Min Act: -0.0005

Data Index: 1408430 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0153. Min Act: -0.0006

Data Index: 1622023 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0143. Min Act: -0.0006

Data Index: 1497038 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0142. Min Act: -0.0005

Data Index: 1443618 (Python Code)

Max Activating Token Index: 689

Text #4

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Max Act: 0.0143. Min Act: -0.0005

Data Index: 1536389 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0143. Min Act: -0.0006

Data Index: 1643527 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1491210 (Python Code)

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Text #7

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Data Index: 1640708 (Python Code)

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Text #8

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Data Index: 1410352 (Python Code)

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Text #9

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Data Index: 1650009 (Python Code)

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Text #10

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Data Index: 1526282 (Python Code)

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Text #11

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Data Index: 1621739 (Python Code)

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Text #12

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Data Index: 1366888 (Python Code)

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Text #13

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Data Index: 1417473 (Python Code)

Max Activating Token Index: 689

Text #14

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Data Index: 1547819 (Python Code)

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Text #15

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Data Index: 1601142 (Python Code)

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Text #16

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Data Index: 1532610 (Python Code)

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Text #17

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Data Index: 1382405 (Python Code)

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Text #18

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Data Index: 1454637 (Python Code)

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Text #19

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Data Index: 1552247 (Python Code)

Max Activating Token Index: 844