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

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

Neuron 4635 in Layer 2

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

Text #0

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Max Act: 0.0648. Min Act: -0.0002

Data Index: 666517 (C4 (Web Text))

Max Activating Token Index: 715

Text #1

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Max Activating Token Index: 748

Text #2

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Max Act: 0.0568. Min Act: -0.0002

Data Index: 683985 (C4 (Web Text))

Max Activating Token Index: 124

Text #3

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Max Act: 0.0586. Min Act: -0.0002

Data Index: 735965 (C4 (Web Text))

Max Activating Token Index: 295

Text #4

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Data Index: 1539485 (Python Code)

Max Activating Token Index: 885

Text #5

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Data Index: 402917 (C4 (Web Text))

Max Activating Token Index: 64

Text #6

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Text #7

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Text #8

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Data Index: 1488188 (Python Code)

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Text #9

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Data Index: 1595534 (Python Code)

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Text #10

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Max Activating Token Index: 120

Text #11

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Data Index: 1381337 (Python Code)

Max Activating Token Index: 714

Text #12

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Data Index: 1522226 (Python Code)

Max Activating Token Index: 483

Text #13

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Data Index: 808910 (C4 (Web Text))

Max Activating Token Index: 283

Text #14

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Data Index: 16863 (C4 (Web Text))

Max Activating Token Index: 357

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1366031 (Python Code)

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Text #19

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Data Index: 1419003 (Python Code)

Max Activating Token Index: 189