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

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

Neuron 4774 in Layer 5

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

Text #0

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Data Index: 892630 (C4 (Web Text))

Max Activating Token Index: 895

Text #1

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Data Index: 1602755 (Python Code)

Max Activating Token Index: 534

Text #2

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Data Index: 1613949 (Python Code)

Max Activating Token Index: 950

Text #3

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Max Act: 0.9299. Min Act: -0.0000

Data Index: 1626069 (Python Code)

Max Activating Token Index: 750

Text #4

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Max Act: 0.9530. Min Act: -0.0000

Data Index: 1411565 (Python Code)

Max Activating Token Index: 125

Text #5

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Max Act: 0.8835. Min Act: -0.0000

Data Index: 1444281 (Python Code)

Max Activating Token Index: 690

Text #6

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Data Index: 1449771 (Python Code)

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Text #7

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Data Index: 1619835 (Python Code)

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Text #8

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Data Index: 1451008 (Python Code)

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Text #9

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Data Index: 1575442 (Python Code)

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Text #10

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Data Index: 1581796 (Python Code)

Max Activating Token Index: 755

Text #11

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Data Index: 1363883 (Python Code)

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Text #12

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Data Index: 1511387 (Python Code)

Max Activating Token Index: 594

Text #13

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Data Index: 1366376 (Python Code)

Max Activating Token Index: 365

Text #14

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Data Index: 1623173 (Python Code)

Max Activating Token Index: 382

Text #15

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Data Index: 1386879 (Python Code)

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Text #16

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Data Index: 1406842 (Python Code)

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Text #17

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Data Index: 1509148 (Python Code)

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Text #18

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Data Index: 1590654 (Python Code)

Max Activating Token Index: 489

Text #19

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Max Act: 0.9068. Min Act: -0.0000

Data Index: 1638402 (Python Code)

Max Activating Token Index: 165