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

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

Neuron 1464 in Layer 0

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

Text #0

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Max Act: 0.0072. Min Act: -0.0006

Data Index: 909661 (C4 (Web Text))

Max Activating Token Index: 1007

Text #1

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Max Activating Token Index: 581

Text #2

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Max Activating Token Index: 589

Text #3

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Data Index: 973665 (C4 (Web Text))

Max Activating Token Index: 97

Text #4

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Max Act: 0.0059. Min Act: -0.0006

Data Index: 518828 (C4 (Web Text))

Max Activating Token Index: 84

Text #5

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Max Act: 0.0059. Min Act: -0.0006

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Max Activating Token Index: 261

Text #6

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Max Activating Token Index: 889

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 499

Text #10

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Max Activating Token Index: 1023

Text #11

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Max Activating Token Index: 959

Text #12

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Max Activating Token Index: 515

Text #13

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Data Index: 1489006 (Python Code)

Max Activating Token Index: 426

Text #14

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Max Activating Token Index: 1023

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 435

Text #19

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Data Index: 861410 (C4 (Web Text))

Max Activating Token Index: 78