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

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

Neuron 1629 in Layer 1

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

Text #0

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Max Act: 0.0629. Min Act: -0.0003

Data Index: 608729 (C4 (Web Text))

Max Activating Token Index: 609

Text #1

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Data Index: 1262213 (C4 (Web Text))

Max Activating Token Index: 132

Text #2

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Max Activating Token Index: 642

Text #3

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Max Act: 0.0540. Min Act: -0.0003

Data Index: 1294808 (C4 (Web Text))

Max Activating Token Index: 962

Text #4

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Data Index: 943767 (C4 (Web Text))

Max Activating Token Index: 356

Text #5

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Data Index: 307659 (C4 (Web Text))

Max Activating Token Index: 417

Text #6

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Max Activating Token Index: 979

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 482

Text #10

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Max Activating Token Index: 169

Text #11

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Max Activating Token Index: 332

Text #12

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Max Activating Token Index: 331

Text #13

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Max Activating Token Index: 762

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: 480

Text #18

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Max Activating Token Index: 838

Text #19

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Data Index: 385572 (C4 (Web Text))

Max Activating Token Index: 758