Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 543 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0340. Min Range: -0.0340

Max Act: 0.0340. Min Act: -0.0005

Data Index: 1615554 (Python Code)

Max Activating Token Index: 4

Text #1

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Max Act: 0.0328. Min Act: -0.0005

Data Index: 1454452 (Python Code)

Max Activating Token Index: 2

Text #2

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Max Act: 0.0326. Min Act: -0.0005

Data Index: 1378712 (Python Code)

Max Activating Token Index: 1

Text #3

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Max Act: 0.0303. Min Act: -0.0005

Data Index: 1577050 (Python Code)

Max Activating Token Index: 2

Text #4

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Max Act: 0.0293. Min Act: -0.0005

Data Index: 1558416 (Python Code)

Max Activating Token Index: 3

Text #5

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Max Act: 0.0282. Min Act: -0.0005

Data Index: 1415290 (Python Code)

Max Activating Token Index: 5

Text #6

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Data Index: 1595855 (Python Code)

Max Activating Token Index: 4

Text #7

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Data Index: 1551212 (Python Code)

Max Activating Token Index: 3

Text #8

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Data Index: 1553368 (Python Code)

Max Activating Token Index: 2

Text #9

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Data Index: 1483718 (Python Code)

Max Activating Token Index: 4

Text #10

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Data Index: 1649598 (Python Code)

Max Activating Token Index: 2

Text #11

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Data Index: 1584044 (Python Code)

Max Activating Token Index: 4

Text #12

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Data Index: 1602734 (Python Code)

Max Activating Token Index: 4

Text #13

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Max Act: 0.0256. Min Act: -0.0005

Data Index: 855303 (C4 (Web Text))

Max Activating Token Index: 2

Text #14

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Data Index: 1547821 (Python Code)

Max Activating Token Index: 3

Text #15

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Data Index: 1519454 (Python Code)

Max Activating Token Index: 3

Text #16

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Data Index: 1568101 (Python Code)

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Text #17

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Data Index: 1651031 (Python Code)

Max Activating Token Index: 6

Text #18

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Data Index: 1455129 (Python Code)

Max Activating Token Index: 3

Text #19

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Max Act: 0.0247. Min Act: -0.0005

Data Index: 1410297 (Python Code)

Max Activating Token Index: 2