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

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

Neuron 2488 in Layer 9

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

Text #0

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Max Act: 0.7139. Min Act: -0.0000

Data Index: 1655575 (Python Code)

Max Activating Token Index: 813

Text #1

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Data Index: 1450351 (Python Code)

Max Activating Token Index: 356

Text #2

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Data Index: 1420152 (Python Code)

Max Activating Token Index: 166

Text #3

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Max Act: 0.6283. Min Act: -0.0000

Data Index: 1453844 (Python Code)

Max Activating Token Index: 854

Text #4

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Max Act: 0.6153. Min Act: -0.0000

Data Index: 1634240 (Python Code)

Max Activating Token Index: 531

Text #5

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Data Index: 1572981 (Python Code)

Max Activating Token Index: 938

Text #6

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Data Index: 1574383 (Python Code)

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Text #7

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Data Index: 1371890 (Python Code)

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Text #8

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Data Index: 1488695 (Python Code)

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Text #9

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Data Index: 416563 (C4 (Web Text))

Max Activating Token Index: 447

Text #10

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Data Index: 612556 (C4 (Web Text))

Max Activating Token Index: 891

Text #11

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Max Activating Token Index: 186

Text #12

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Data Index: 570582 (C4 (Web Text))

Max Activating Token Index: 539

Text #13

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Data Index: 460282 (C4 (Web Text))

Max Activating Token Index: 87

Text #14

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Data Index: 511832 (C4 (Web Text))

Max Activating Token Index: 738

Text #15

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Data Index: 970115 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1354583 (C4 (Web Text))

Max Activating Token Index: 538

Text #18

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Data Index: 339633 (C4 (Web Text))

Max Activating Token Index: 581

Text #19

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Data Index: 940757 (C4 (Web Text))

Max Activating Token Index: 520