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

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

Neuron 1309 in Layer 1

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

Text #0

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Max Act: 0.0574. Min Act: -0.0003

Data Index: 1119249 (C4 (Web Text))

Max Activating Token Index: 14

Text #1

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Data Index: 836302 (C4 (Web Text))

Max Activating Token Index: 879

Text #2

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Max Act: 0.0560. Min Act: -0.0003

Data Index: 76979 (C4 (Web Text))

Max Activating Token Index: 447

Text #3

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Max Act: 0.0548. Min Act: -0.0003

Data Index: 654858 (C4 (Web Text))

Max Activating Token Index: 867

Text #4

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Data Index: 262411 (C4 (Web Text))

Max Activating Token Index: 385

Text #5

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Data Index: 1039800 (C4 (Web Text))

Max Activating Token Index: 268

Text #6

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Max Activating Token Index: 480

Text #7

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Max Activating Token Index: 521

Text #8

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Max Activating Token Index: 426

Text #9

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Max Activating Token Index: 758

Text #10

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Max Activating Token Index: 716

Text #11

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Max Activating Token Index: 287

Text #12

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Data Index: 12379 (C4 (Web Text))

Max Activating Token Index: 293

Text #13

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Max Activating Token Index: 459

Text #14

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Data Index: 255058 (C4 (Web Text))

Max Activating Token Index: 287

Text #15

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Max Activating Token Index: 577

Text #16

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Max Activating Token Index: 765

Text #17

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Max Activating Token Index: 895

Text #18

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Max Activating Token Index: 957

Text #19

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Data Index: 1357679 (C4 (Web Text))

Max Activating Token Index: 493