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

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

Neuron 396 in Layer 1

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

Text #0

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Max Act: 0.0479. Min Act: -0.0003

Data Index: 13149 (C4 (Web Text))

Max Activating Token Index: 296

Text #1

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Max Act: 0.0458. Min Act: -0.0003

Data Index: 486053 (C4 (Web Text))

Max Activating Token Index: 23

Text #2

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Max Act: 0.0457. Min Act: -0.0003

Data Index: 501038 (C4 (Web Text))

Max Activating Token Index: 202

Text #3

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Max Act: 0.0463. Min Act: -0.0003

Data Index: 438907 (C4 (Web Text))

Max Activating Token Index: 187

Text #4

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Max Act: 0.0444. Min Act: -0.0003

Data Index: 292248 (C4 (Web Text))

Max Activating Token Index: 908

Text #5

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Max Act: 0.0437. Min Act: -0.0004

Data Index: 88014 (C4 (Web Text))

Max Activating Token Index: 556

Text #6

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Max Activating Token Index: 829

Text #7

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Max Activating Token Index: 975

Text #8

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Max Activating Token Index: 925

Text #9

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Max Activating Token Index: 190

Text #10

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Max Activating Token Index: 587

Text #11

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Max Activating Token Index: 966

Text #12

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Max Activating Token Index: 535

Text #13

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Max Activating Token Index: 578

Text #14

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Max Activating Token Index: 618

Text #15

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Text #16

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Max Activating Token Index: 432

Text #17

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Max Activating Token Index: 34

Text #18

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Max Activating Token Index: 678

Text #19

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Data Index: 459443 (C4 (Web Text))

Max Activating Token Index: 217