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

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

Neuron 1497 in Layer 1

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

Text #0

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Max Act: 0.0712. Min Act: -0.0003

Data Index: 99809 (C4 (Web Text))

Max Activating Token Index: 940

Text #1

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Max Act: 0.0729. Min Act: -0.0003

Data Index: 99624 (C4 (Web Text))

Max Activating Token Index: 840

Text #2

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Max Act: 0.0660. Min Act: -0.0003

Data Index: 739509 (C4 (Web Text))

Max Activating Token Index: 439

Text #3

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Max Act: 0.0660. Min Act: -0.0003

Data Index: 571895 (C4 (Web Text))

Max Activating Token Index: 940

Text #4

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Data Index: 1090159 (C4 (Web Text))

Max Activating Token Index: 852

Text #5

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Data Index: 1049441 (C4 (Web Text))

Max Activating Token Index: 376

Text #6

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Data Index: 760207 (C4 (Web Text))

Max Activating Token Index: 750

Text #7

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Max Activating Token Index: 563

Text #8

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Max Activating Token Index: 997

Text #9

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Max Activating Token Index: 253

Text #10

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Data Index: 33260 (C4 (Web Text))

Max Activating Token Index: 649

Text #11

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Data Index: 242402 (C4 (Web Text))

Max Activating Token Index: 220

Text #12

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Max Activating Token Index: 891

Text #13

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Max Activating Token Index: 1012

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 235

Text #17

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Max Activating Token Index: 877

Text #18

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Max Activating Token Index: 8

Text #19

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Data Index: 714859 (C4 (Web Text))

Max Activating Token Index: 621