Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 243 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0184. Min Act: -0.0004

Data Index: 1413854 (Python Code)

Max Activating Token Index: 641

Text #1

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Data Index: 1655186 (Python Code)

Max Activating Token Index: 350

Text #2

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Data Index: 1606522 (Python Code)

Max Activating Token Index: 522

Text #3

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Max Act: 0.0125. Min Act: -0.0004

Data Index: 1127941 (C4 (Web Text))

Max Activating Token Index: 677

Text #4

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Max Activating Token Index: 941

Text #5

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Max Activating Token Index: 892

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Text #12

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Text #13

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Max Activating Token Index: 796

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: 899

Text #18

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Max Activating Token Index: 514

Text #19

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Data Index: 1289374 (C4 (Web Text))

Max Activating Token Index: 689