Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3340 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0437. Min Range: -0.0437

Max Act: 0.0435. Min Act: -0.0002

Data Index: 1455366 (Python Code)

Max Activating Token Index: 175

Text #1

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Max Act: 0.0433. Min Act: -0.0002

Data Index: 1557633 (Python Code)

Max Activating Token Index: 941

Text #2

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Max Act: 0.0437. Min Act: -0.0002

Data Index: 1442841 (Python Code)

Max Activating Token Index: 56

Text #3

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Max Act: 0.0425. Min Act: -0.0002

Data Index: 1392832 (Python Code)

Max Activating Token Index: 134

Text #4

Max Range: 0.0437. Min Range: -0.0437

Max Act: 0.0414. Min Act: -0.0002

Data Index: 1484707 (Python Code)

Max Activating Token Index: 699

Text #5

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Max Act: 0.0420. Min Act: -0.0002

Data Index: 1520259 (Python Code)

Max Activating Token Index: 201

Text #6

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Max Act: 0.0417. Min Act: -0.0002

Data Index: 1568496 (Python Code)

Max Activating Token Index: 178

Text #7

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Max Act: 0.0413. Min Act: -0.0002

Data Index: 1616035 (Python Code)

Max Activating Token Index: 106

Text #8

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 1590088 (Python Code)

Max Activating Token Index: 162

Text #9

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Max Act: 0.0406. Min Act: -0.0002

Data Index: 1399603 (Python Code)

Max Activating Token Index: 83

Text #10

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Max Act: 0.0404. Min Act: -0.0002

Data Index: 1609095 (Python Code)

Max Activating Token Index: 123

Text #11

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 1495294 (Python Code)

Max Activating Token Index: 212

Text #12

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 1548075 (Python Code)

Max Activating Token Index: 87

Text #13

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 1406025 (Python Code)

Max Activating Token Index: 101

Text #14

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Max Act: 0.0398. Min Act: -0.0002

Data Index: 1398226 (Python Code)

Max Activating Token Index: 65

Text #15

Max Range: 0.0437. Min Range: -0.0437

Max Act: 0.0398. Min Act: -0.0002

Data Index: 1429836 (Python Code)

Max Activating Token Index: 132

Text #16

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Max Act: 0.0405. Min Act: -0.0002

Data Index: 1625532 (Python Code)

Max Activating Token Index: 187

Text #17

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 1497413 (Python Code)

Max Activating Token Index: 83

Text #18

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 1467861 (Python Code)

Max Activating Token Index: 594

Text #19

Max Range: 0.0437. Min Range: -0.0437

Max Act: 0.0388. Min Act: -0.0002

Data Index: 1633890 (Python Code)

Max Activating Token Index: 63