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

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

Neuron 3649 in Layer 7

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

Text #0

Max Range: 0.2001. Min Range: -0.2001

Max Act: 0.2001. Min Act: -0.0000

Data Index: 1418601 (Python Code)

Max Activating Token Index: 348

Text #1

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Max Act: 0.1844. Min Act: -0.0000

Data Index: 1466164 (Python Code)

Max Activating Token Index: 667

Text #2

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Max Act: 0.1773. Min Act: -0.0000

Data Index: 1547865 (Python Code)

Max Activating Token Index: 721

Text #3

Max Range: 0.2001. Min Range: -0.2001

Max Act: 0.1896. Min Act: -0.0000

Data Index: 1571365 (Python Code)

Max Activating Token Index: 705

Text #4

Max Range: 0.2001. Min Range: -0.2001

Max Act: 0.1819. Min Act: -0.0000

Data Index: 1534150 (Python Code)

Max Activating Token Index: 622

Text #5

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Data Index: 1391375 (Python Code)

Max Activating Token Index: 302

Text #6

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Data Index: 1497358 (Python Code)

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Text #7

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Data Index: 1524419 (Python Code)

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Text #8

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Data Index: 1621635 (Python Code)

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Text #9

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Data Index: 1378954 (Python Code)

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Text #10

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Data Index: 1650483 (Python Code)

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Text #11

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Data Index: 1543799 (Python Code)

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Text #12

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Data Index: 1628816 (Python Code)

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Text #13

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Data Index: 1445276 (Python Code)

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Text #14

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Data Index: 1402959 (Python Code)

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Text #15

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Data Index: 1434693 (Python Code)

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Text #16

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Data Index: 1597181 (Python Code)

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Text #17

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Data Index: 1506907 (Python Code)

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Text #18

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Data Index: 1552496 (Python Code)

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Text #19

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Data Index: 1541132 (Python Code)

Max Activating Token Index: 499