Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 87 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0311. Min Range: -0.0311

Max Act: 0.0311. Min Act: -0.0004

Data Index: 1524279 (Python Code)

Max Activating Token Index: 891

Text #1

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Max Act: 0.0306. Min Act: -0.0003

Data Index: 1558561 (Python Code)

Max Activating Token Index: 62

Text #2

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Max Act: 0.0301. Min Act: -0.0003

Data Index: 1613968 (Python Code)

Max Activating Token Index: 236

Text #3

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Max Act: 0.0297. Min Act: -0.0003

Data Index: 1580777 (Python Code)

Max Activating Token Index: 253

Text #4

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Max Act: 0.0292. Min Act: -0.0004

Data Index: 1583475 (Python Code)

Max Activating Token Index: 416

Text #5

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Max Act: 0.0295. Min Act: -0.0003

Data Index: 1533975 (Python Code)

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Text #6

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Data Index: 1518887 (Python Code)

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Text #7

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Data Index: 1435884 (Python Code)

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Text #8

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Data Index: 1481859 (Python Code)

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Text #9

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Max Act: 0.0293. Min Act: -0.0003

Data Index: 130562 (C4 (Web Text))

Max Activating Token Index: 814

Text #10

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Data Index: 1583517 (Python Code)

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Text #11

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Data Index: 1404927 (Python Code)

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Text #12

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Data Index: 1376465 (Python Code)

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Text #13

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Data Index: 1449722 (Python Code)

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Text #14

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Data Index: 1540250 (Python Code)

Max Activating Token Index: 360

Text #15

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Data Index: 173574 (C4 (Web Text))

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Text #16

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Data Index: 1612040 (Python Code)

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Text #17

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Data Index: 1508358 (Python Code)

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Text #18

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Data Index: 1635343 (Python Code)

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Text #19

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Max Act: 0.0285. Min Act: -0.0004

Data Index: 1486212 (Python Code)

Max Activating Token Index: 539