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

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

Neuron 1124 in Layer 0

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

Text #0

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Data Index: 52664 (C4 (Web Text))

Max Activating Token Index: 735

Text #1

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Max Activating Token Index: 935

Text #2

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Max Act: 0.0131. Min Act: -0.0006

Data Index: 336618 (C4 (Web Text))

Max Activating Token Index: 507

Text #3

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Max Act: 0.0128. Min Act: -0.0006

Data Index: 1185172 (C4 (Web Text))

Max Activating Token Index: 600

Text #4

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Data Index: 1010867 (C4 (Web Text))

Max Activating Token Index: 449

Text #5

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Max Act: 0.0127. Min Act: -0.0006

Data Index: 267604 (C4 (Web Text))

Max Activating Token Index: 313

Text #6

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Max Activating Token Index: 975

Text #7

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Max Activating Token Index: 822

Text #8

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Max Activating Token Index: 977

Text #9

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Max Activating Token Index: 812

Text #10

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Max Activating Token Index: 652

Text #11

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Max Activating Token Index: 661

Text #12

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Max Activating Token Index: 200

Text #13

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Max Activating Token Index: 50

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 189

Text #17

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Max Activating Token Index: 87

Text #18

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Max Activating Token Index: 900

Text #19

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Data Index: 1072840 (C4 (Web Text))

Max Activating Token Index: 31