Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1419 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0432. Min Act: -0.0006

Data Index: 893444 (C4 (Web Text))

Max Activating Token Index: 29

Text #1

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Data Index: 862684 (C4 (Web Text))

Max Activating Token Index: 924

Text #2

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Max Act: 0.0426. Min Act: -0.0006

Data Index: 350229 (C4 (Web Text))

Max Activating Token Index: 776

Text #3

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Max Act: 0.0411. Min Act: -0.0006

Data Index: 290703 (C4 (Web Text))

Max Activating Token Index: 22

Text #4

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Max Act: 0.0410. Min Act: -0.0006

Data Index: 760556 (C4 (Web Text))

Max Activating Token Index: 204

Text #5

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Data Index: 625057 (C4 (Web Text))

Max Activating Token Index: 621

Text #6

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Max Activating Token Index: 302

Text #7

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Max Activating Token Index: 860

Text #8

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Max Activating Token Index: 192

Text #9

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Max Activating Token Index: 670

Text #10

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Max Activating Token Index: 643

Text #11

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Data Index: 271687 (C4 (Web Text))

Max Activating Token Index: 453

Text #12

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Max Activating Token Index: 370

Text #13

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Max Activating Token Index: 117

Text #14

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Max Activating Token Index: 615

Text #15

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Max Activating Token Index: 749

Text #16

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Max Activating Token Index: 261

Text #17

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Max Activating Token Index: 484

Text #18

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Data Index: 1333702 (C4 (Web Text))

Max Activating Token Index: 222

Text #19

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Max Act: 0.0373. Min Act: -0.0006

Data Index: 1092063 (C4 (Web Text))

Max Activating Token Index: 1008