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

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

Neuron 390 in Layer 6

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

Text #0

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Max Act: 1.3111. Min Act: -0.0000

Data Index: 751409 (C4 (Web Text))

Max Activating Token Index: 425

Text #1

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Max Act: 1.0833. Min Act: -0.0001

Data Index: 1367961 (Python Code)

Max Activating Token Index: 1010

Text #2

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Data Index: 1487621 (Python Code)

Max Activating Token Index: 98

Text #3

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Max Act: 1.0991. Min Act: -0.0000

Data Index: 1120012 (C4 (Web Text))

Max Activating Token Index: 427

Text #4

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Data Index: 1619652 (Python Code)

Max Activating Token Index: 177

Text #5

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Data Index: 112581 (C4 (Web Text))

Max Activating Token Index: 598

Text #6

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Data Index: 1517754 (Python Code)

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Text #7

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Data Index: 1573396 (Python Code)

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Text #8

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Data Index: 1560727 (Python Code)

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Text #9

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Data Index: 709826 (C4 (Web Text))

Max Activating Token Index: 179

Text #10

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Data Index: 1639930 (Python Code)

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Text #11

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Data Index: 1652280 (Python Code)

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Text #12

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Data Index: 572442 (C4 (Web Text))

Max Activating Token Index: 99

Text #13

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Data Index: 1424943 (Python Code)

Max Activating Token Index: 582

Text #14

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Data Index: 1389648 (Python Code)

Max Activating Token Index: 289

Text #15

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Data Index: 1285184 (C4 (Web Text))

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Text #16

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Data Index: 1651683 (Python Code)

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Text #17

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Data Index: 1406478 (Python Code)

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Text #18

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Data Index: 1571347 (Python Code)

Max Activating Token Index: 595

Text #19

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Max Act: 0.8594. Min Act: -0.0001

Data Index: 1639942 (Python Code)

Max Activating Token Index: 988