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

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

Neuron 2054 in Layer 1

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

Text #0

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Max Act: 0.7394. Min Act: -0.0003

Data Index: 1413030 (Python Code)

Max Activating Token Index: 629

Text #1

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Max Act: 0.6288. Min Act: -0.0003

Data Index: 1464040 (Python Code)

Max Activating Token Index: 951

Text #2

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Data Index: 1572531 (Python Code)

Max Activating Token Index: 758

Text #3

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Max Act: 0.5962. Min Act: -0.0003

Data Index: 1406036 (Python Code)

Max Activating Token Index: 777

Text #4

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Data Index: 1636079 (Python Code)

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Text #5

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Data Index: 1409194 (Python Code)

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Text #6

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Data Index: 1362723 (Python Code)

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Text #7

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Data Index: 1546399 (Python Code)

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Text #8

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Data Index: 510089 (C4 (Web Text))

Max Activating Token Index: 433

Text #9

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Data Index: 1627877 (Python Code)

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Text #10

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Data Index: 1614098 (Python Code)

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Text #11

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Data Index: 1415219 (Python Code)

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Text #12

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Data Index: 902251 (C4 (Web Text))

Max Activating Token Index: 680

Text #13

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Data Index: 1459513 (Python Code)

Max Activating Token Index: 349

Text #14

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Data Index: 1624946 (Python Code)

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Text #15

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Data Index: 1441926 (Python Code)

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Text #16

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Text #17

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Max Activating Token Index: 691

Text #18

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Data Index: 1595510 (Python Code)

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Text #19

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Data Index: 1507136 (Python Code)

Max Activating Token Index: 570