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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 246 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0406. Min Act: -0.0003

Data Index: 1609072 (Python Code)

Max Activating Token Index: 629

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Text #1

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 270766 (C4 (Web Text))

Max Activating Token Index: 63

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Text #2

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Max Act: 0.0377. Min Act: -0.0003

Data Index: 1454067 (Python Code)

Max Activating Token Index: 744

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Text #3

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Max Act: 0.0377. Min Act: -0.0002

Data Index: 1333878 (C4 (Web Text))

Max Activating Token Index: 222

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Text #4

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Max Act: 0.0379. Min Act: -0.0003

Data Index: 367727 (C4 (Web Text))

Max Activating Token Index: 167

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Text #5

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 1276847 (C4 (Web Text))

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Text #6

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Data Index: 633414 (C4 (Web Text))

Max Activating Token Index: 556

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Text #7

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Data Index: 444942 (C4 (Web Text))

Max Activating Token Index: 651

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Text #8

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Max Act: 0.0369. Min Act: -0.0002

Data Index: 776580 (C4 (Web Text))

Max Activating Token Index: 522

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Text #9

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Data Index: 1077037 (C4 (Web Text))

Max Activating Token Index: 565

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Text #10

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Data Index: 227434 (C4 (Web Text))

Max Activating Token Index: 420

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Text #11

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Data Index: 726233 (C4 (Web Text))

Max Activating Token Index: 661

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Text #12

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Data Index: 150846 (C4 (Web Text))

Max Activating Token Index: 576

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Text #13

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Data Index: 470689 (C4 (Web Text))

Max Activating Token Index: 840

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Text #14

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Data Index: 800242 (C4 (Web Text))

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Text #15

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Data Index: 79017 (C4 (Web Text))

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Text #16

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Data Index: 1625763 (Python Code)

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Text #17

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Max Act: 0.0342. Min Act: -0.0002

Data Index: 998128 (C4 (Web Text))

Max Activating Token Index: 969

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Text #18

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 1619939 (Python Code)

Max Activating Token Index: 968

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Text #19

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Max Act: 0.0341. Min Act: -0.0003

Data Index: 823592 (C4 (Web Text))

Max Activating Token Index: 418

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