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

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

Neuron 1648 in Layer 0

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

Text #0

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Data Index: 178992 (C4 (Web Text))

Max Activating Token Index: 1015

Text #1

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Data Index: 1071129 (C4 (Web Text))

Max Activating Token Index: 981

Text #2

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Max Act: 0.0160. Min Act: -0.0006

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Max Activating Token Index: 653

Text #3

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Max Act: 0.0153. Min Act: -0.0006

Data Index: 524189 (C4 (Web Text))

Max Activating Token Index: 441

Text #4

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Data Index: 932724 (C4 (Web Text))

Max Activating Token Index: 902

Text #5

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Max Activating Token Index: 888

Text #6

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Max Activating Token Index: 619

Text #7

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Max Activating Token Index: 996

Text #8

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Max Activating Token Index: 116

Text #9

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Max Activating Token Index: 135

Text #10

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Max Activating Token Index: 777

Text #11

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Data Index: 544791 (C4 (Web Text))

Max Activating Token Index: 868

Text #12

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Max Activating Token Index: 782

Text #13

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Max Activating Token Index: 332

Text #14

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Max Activating Token Index: 225

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 543

Text #18

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Data Index: 22950 (C4 (Web Text))

Max Activating Token Index: 6

Text #19

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Data Index: 969921 (C4 (Web Text))

Max Activating Token Index: 826