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

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

Neuron 1016 in Layer 0

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

Text #0

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Data Index: 214389 (C4 (Web Text))

Max Activating Token Index: 1009

Text #1

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Max Activating Token Index: 702

Text #2

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Max Act: 0.0153. Min Act: -0.0006

Data Index: 195831 (C4 (Web Text))

Max Activating Token Index: 373

Text #3

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Data Index: 449439 (C4 (Web Text))

Max Activating Token Index: 71

Text #4

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Data Index: 592553 (C4 (Web Text))

Max Activating Token Index: 810

Text #5

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Max Activating Token Index: 934

Text #6

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Max Activating Token Index: 898

Text #7

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Text #8

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Max Activating Token Index: 449

Text #9

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Max Activating Token Index: 485

Text #10

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Max Activating Token Index: 492

Text #11

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Max Activating Token Index: 710

Text #12

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Max Activating Token Index: 20

Text #13

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Max Activating Token Index: 97

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 550

Text #18

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Max Activating Token Index: 152

Text #19

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Data Index: 498134 (C4 (Web Text))

Max Activating Token Index: 770