Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1842 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0730. Min Act: -0.0003

Data Index: 1129461 (C4 (Web Text))

Max Activating Token Index: 282

Text #1

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Max Act: 0.0545. Min Act: -0.0003

Data Index: 767176 (C4 (Web Text))

Max Activating Token Index: 277

Text #2

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Max Act: 0.0537. Min Act: -0.0003

Data Index: 412362 (C4 (Web Text))

Max Activating Token Index: 269

Text #3

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Max Act: 0.0557. Min Act: -0.0003

Data Index: 754921 (C4 (Web Text))

Max Activating Token Index: 553

Text #4

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Max Act: 0.0514. Min Act: -0.0003

Data Index: 374934 (C4 (Web Text))

Max Activating Token Index: 747

Text #5

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Max Act: 0.0518. Min Act: -0.0003

Data Index: 958790 (C4 (Web Text))

Max Activating Token Index: 650

Text #6

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Data Index: 203332 (C4 (Web Text))

Max Activating Token Index: 483

Text #7

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Text #8

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Data Index: 924442 (C4 (Web Text))

Max Activating Token Index: 539

Text #9

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Data Index: 51169 (C4 (Web Text))

Max Activating Token Index: 598

Text #10

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Data Index: 307187 (C4 (Web Text))

Max Activating Token Index: 290

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Data Index: 103873 (C4 (Web Text))

Max Activating Token Index: 257

Text #12

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Data Index: 239883 (C4 (Web Text))

Max Activating Token Index: 569

Text #13

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Max Activating Token Index: 435

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: 802

Text #18

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Data Index: 780862 (C4 (Web Text))

Max Activating Token Index: 814

Text #19

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Data Index: 283755 (C4 (Web Text))

Max Activating Token Index: 716