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

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

Neuron 20 in Layer 5

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

Text #0

Max Range: 0.0459. Min Range: -0.0459

Max Act: 0.0459. Min Act: -0.0000

Data Index: 1627333 (Python Code)

Max Activating Token Index: 784

Text #1

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Max Act: 0.0414. Min Act: -0.0000

Data Index: 1486226 (Python Code)

Max Activating Token Index: 219

Text #2

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Max Act: 0.0415. Min Act: -0.0000

Data Index: 1565126 (Python Code)

Max Activating Token Index: 145

Text #3

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Max Act: 0.0416. Min Act: -0.0000

Data Index: 1398617 (Python Code)

Max Activating Token Index: 115

Text #4

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Max Act: 0.0392. Min Act: -0.0000

Data Index: 1506399 (Python Code)

Max Activating Token Index: 500

Text #5

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Max Act: 0.0377. Min Act: -0.0000

Data Index: 1517892 (Python Code)

Max Activating Token Index: 573

Text #6

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Data Index: 1635197 (Python Code)

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Text #7

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Data Index: 1452829 (Python Code)

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Text #8

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Data Index: 1470688 (Python Code)

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Text #9

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Max Act: 0.0379. Min Act: -0.0000

Data Index: 1461118 (Python Code)

Max Activating Token Index: 243

Text #10

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Max Act: 0.0350. Min Act: -0.0001

Data Index: 532747 (C4 (Web Text))

Max Activating Token Index: 492

Text #11

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Data Index: 127235 (C4 (Web Text))

Max Activating Token Index: 391

Text #12

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Data Index: 983503 (C4 (Web Text))

Max Activating Token Index: 573

Text #13

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Max Act: 0.0378. Min Act: 0.0000

Data Index: 1548093 (Python Code)

Max Activating Token Index: 868

Text #14

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Max Act: 0.0369. Min Act: -0.0001

Data Index: 33313 (C4 (Web Text))

Max Activating Token Index: 280

Text #15

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Data Index: 1655603 (Python Code)

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Text #16

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Data Index: 1454715 (Python Code)

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Text #17

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Data Index: 437547 (C4 (Web Text))

Max Activating Token Index: 231

Text #18

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Max Act: 0.0360. Min Act: -0.0001

Data Index: 1322658 (C4 (Web Text))

Max Activating Token Index: 482

Text #19

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Max Act: 0.0360. Min Act: -0.0001

Data Index: 419374 (C4 (Web Text))

Max Activating Token Index: 137