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

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

Neuron 1990 in Layer 0

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

Text #0

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Max Act: 0.0161. Min Act: -0.0005

Data Index: 416802 (C4 (Web Text))

Max Activating Token Index: 755

Text #1

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Max Activating Token Index: 620

Text #2

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Max Activating Token Index: 863

Text #3

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Max Act: 0.0162. Min Act: -0.0005

Data Index: 102876 (C4 (Web Text))

Max Activating Token Index: 622

Text #4

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Data Index: 84278 (C4 (Web Text))

Max Activating Token Index: 236

Text #5

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Max Activating Token Index: 646

Text #6

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Max Activating Token Index: 729

Text #7

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Text #8

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Max Activating Token Index: 442

Text #9

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Max Activating Token Index: 826

Text #10

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Text #11

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Text #12

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Max Activating Token Index: 328

Text #13

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Max Activating Token Index: 260

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 818511 (C4 (Web Text))

Max Activating Token Index: 154