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

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

Neuron 620 in Layer 0

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

Text #0

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Max Act: 0.0187. Min Act: -0.0004

Data Index: 51737 (C4 (Web Text))

Max Activating Token Index: 56

Text #1

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Data Index: 253496 (C4 (Web Text))

Max Activating Token Index: 14

Text #2

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Max Act: 0.0173. Min Act: -0.0005

Data Index: 1055298 (C4 (Web Text))

Max Activating Token Index: 148

Text #3

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Max Act: 0.0167. Min Act: -0.0004

Data Index: 784586 (C4 (Web Text))

Max Activating Token Index: 366

Text #4

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Max Act: 0.0165. Min Act: -0.0004

Data Index: 31540 (C4 (Web Text))

Max Activating Token Index: 64

Text #5

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Data Index: 225891 (C4 (Web Text))

Max Activating Token Index: 767

Text #6

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Max Activating Token Index: 882

Text #7

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Data Index: 58052 (C4 (Web Text))

Max Activating Token Index: 126

Text #8

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Data Index: 386007 (C4 (Web Text))

Max Activating Token Index: 448

Text #9

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Max Activating Token Index: 789

Text #10

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Max Activating Token Index: 331

Text #11

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Max Activating Token Index: 602

Text #12

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Data Index: 448268 (C4 (Web Text))

Max Activating Token Index: 633

Text #13

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Max Activating Token Index: 143

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: 72

Text #18

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Data Index: 958785 (C4 (Web Text))

Max Activating Token Index: 191

Text #19

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Data Index: 822132 (C4 (Web Text))

Max Activating Token Index: 9