Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3040 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.2897. Min Act: -0.0000

Data Index: 485699 (C4 (Web Text))

Max Activating Token Index: 741

Text #1

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Max Act: 0.2899. Min Act: -0.0001

Data Index: 1554856 (Python Code)

Max Activating Token Index: 758

Text #2

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Max Act: 0.2770. Min Act: -0.0000

Data Index: 1502860 (Python Code)

Max Activating Token Index: 295

Text #3

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Max Act: 0.2620. Min Act: -0.0000

Data Index: 1519894 (Python Code)

Max Activating Token Index: 920

Text #4

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Max Act: 0.2498. Min Act: -0.0001

Data Index: 1383932 (Python Code)

Max Activating Token Index: 845

Text #5

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Max Act: 0.2547. Min Act: -0.0000

Data Index: 1633327 (Python Code)

Max Activating Token Index: 233

Text #6

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Data Index: 1491726 (Python Code)

Max Activating Token Index: 886

Text #7

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Data Index: 1550346 (Python Code)

Max Activating Token Index: 345

Text #8

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Data Index: 1516361 (Python Code)

Max Activating Token Index: 619

Text #9

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Data Index: 1597959 (Python Code)

Max Activating Token Index: 158

Text #10

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Data Index: 140115 (C4 (Web Text))

Max Activating Token Index: 625

Text #11

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Data Index: 1625571 (Python Code)

Max Activating Token Index: 449

Text #12

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Data Index: 1589508 (Python Code)

Max Activating Token Index: 747

Text #13

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Data Index: 1632568 (Python Code)

Max Activating Token Index: 929

Text #14

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Data Index: 1636298 (Python Code)

Max Activating Token Index: 81

Text #15

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Data Index: 1590702 (Python Code)

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Text #16

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Data Index: 1454350 (Python Code)

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Text #17

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Max Act: 0.2207. Min Act: -0.0001

Data Index: 1563454 (Python Code)

Max Activating Token Index: 758

Text #18

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Max Act: 0.2295. Min Act: -0.0000

Data Index: 1654323 (Python Code)

Max Activating Token Index: 456

Text #19

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Max Act: 0.2148. Min Act: -0.0000

Data Index: 1407492 (Python Code)

Max Activating Token Index: 552