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

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

Neuron 55 in Layer 9

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

Text #0

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Data Index: 1383233 (Python Code)

Max Activating Token Index: 557

Text #1

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Data Index: 542317 (C4 (Web Text))

Max Activating Token Index: 967

Text #2

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Data Index: 10841 (C4 (Web Text))

Max Activating Token Index: 609

Text #3

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Max Act: 0.5417. Min Act: -0.0000

Data Index: 806200 (C4 (Web Text))

Max Activating Token Index: 513

Text #4

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Data Index: 1656224 (Python Code)

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Text #5

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Data Index: 1613163 (Python Code)

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Text #6

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Data Index: 1411210 (Python Code)

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Data Index: 1593106 (Python Code)

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Text #8

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Max Activating Token Index: 156

Text #9

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Data Index: 1122651 (C4 (Web Text))

Max Activating Token Index: 484

Text #10

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Data Index: 1482838 (Python Code)

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Text #11

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Data Index: 1502577 (Python Code)

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Text #12

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Data Index: 1539002 (Python Code)

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Text #13

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Data Index: 1444969 (Python Code)

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Text #14

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Data Index: 1411246 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1406243 (Python Code)

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Text #18

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Data Index: 1453492 (Python Code)

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Text #19

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Data Index: 511204 (C4 (Web Text))

Max Activating Token Index: 454