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

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

Neuron 401 in Layer 0

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

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Text #0

Max Range: 0.0420. Min Range: -0.0420

Max Act: 0.0420. Min Act: -0.0003

Data Index: 1613418 (Python Code)

Max Activating Token Index: 929

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Text #1

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 684459 (C4 (Web Text))

Max Activating Token Index: 219

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Text #2

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Max Act: 0.0398. Min Act: -0.0003

Data Index: 1595496 (Python Code)

Max Activating Token Index: 576

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Text #3

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Max Act: 0.0402. Min Act: -0.0003

Data Index: 728925 (C4 (Web Text))

Max Activating Token Index: 737

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Text #4

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Max Act: 0.0400. Min Act: -0.0003

Data Index: 1223859 (C4 (Web Text))

Max Activating Token Index: 335

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Text #5

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Max Act: 0.0384. Min Act: -0.0003

Data Index: 1243459 (C4 (Web Text))

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Text #6

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Data Index: 26888 (C4 (Web Text))

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Text #7

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Data Index: 1341629 (C4 (Web Text))

Max Activating Token Index: 754

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Text #8

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Data Index: 1520391 (Python Code)

Max Activating Token Index: 232

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Text #9

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Data Index: 706554 (C4 (Web Text))

Max Activating Token Index: 662

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Text #10

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Data Index: 630492 (C4 (Web Text))

Max Activating Token Index: 259

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Text #11

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Data Index: 98636 (C4 (Web Text))

Max Activating Token Index: 957

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Text #12

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Data Index: 1106379 (C4 (Web Text))

Max Activating Token Index: 219

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Text #13

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Data Index: 647119 (C4 (Web Text))

Max Activating Token Index: 493

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Text #14

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Data Index: 1087104 (C4 (Web Text))

Max Activating Token Index: 894

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Text #15

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Data Index: 144102 (C4 (Web Text))

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Text #16

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Data Index: 1578243 (Python Code)

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Text #17

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Data Index: 463421 (C4 (Web Text))

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Text #18

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 653206 (C4 (Web Text))

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Text #19

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Data Index: 754310 (C4 (Web Text))

Max Activating Token Index: 224

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