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

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

Neuron 277 in Layer 0

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

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Text #0

Max Range: 0.0614. Min Range: -0.0614

Max Act: 0.0614. Min Act: -0.0003

Data Index: 844559 (C4 (Web Text))

Max Activating Token Index: 152

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Text #1

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Max Act: 0.0563. Min Act: -0.0003

Data Index: 1414603 (Python Code)

Max Activating Token Index: 762

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Text #2

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Max Act: 0.0527. Min Act: -0.0003

Data Index: 546627 (C4 (Web Text))

Max Activating Token Index: 627

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Text #3

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Max Act: 0.0503. Min Act: -0.0003

Data Index: 1504954 (Python Code)

Max Activating Token Index: 79

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Text #4

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Max Act: 0.0443. Min Act: -0.0002

Data Index: 1451327 (Python Code)

Max Activating Token Index: 597

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Text #5

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Max Act: 0.0435. Min Act: -0.0003

Data Index: 1505853 (Python Code)

Max Activating Token Index: 863

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Text #6

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Max Act: 0.0434. Min Act: -0.0003

Data Index: 1140899 (C4 (Web Text))

Max Activating Token Index: 580

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Text #7

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Data Index: 1526687 (Python Code)

Max Activating Token Index: 963

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Text #8

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 1500924 (Python Code)

Max Activating Token Index: 841

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Text #9

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Data Index: 1386213 (Python Code)

Max Activating Token Index: 528

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Text #10

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Data Index: 1532121 (Python Code)

Max Activating Token Index: 273

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Text #11

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Max Act: 0.0396. Min Act: -0.0003

Data Index: 51568 (C4 (Web Text))

Max Activating Token Index: 759

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Text #12

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Data Index: 1383580 (Python Code)

Max Activating Token Index: 195

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Text #13

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Data Index: 1507822 (Python Code)

Max Activating Token Index: 223

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Text #14

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 1530688 (Python Code)

Max Activating Token Index: 826

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Text #15

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Data Index: 1546063 (Python Code)

Max Activating Token Index: 669

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Text #16

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Data Index: 1416006 (Python Code)

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Text #17

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Data Index: 1521280 (Python Code)

Max Activating Token Index: 720

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Text #18

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 1537528 (Python Code)

Max Activating Token Index: 495

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Text #19

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Max Act: 0.0349. Min Act: -0.0003

Data Index: 1470576 (Python Code)

Max Activating Token Index: 488

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