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

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

Neuron 1225 in Layer 1

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

Text #0

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Max Act: 0.0546. Min Act: -0.0002

Data Index: 1473583 (Python Code)

Max Activating Token Index: 511

Text #1

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Max Act: 0.0510. Min Act: -0.0002

Data Index: 1478624 (Python Code)

Max Activating Token Index: 571

Text #2

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Data Index: 595347 (C4 (Web Text))

Max Activating Token Index: 541

Text #3

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Max Act: 0.0489. Min Act: -0.0002

Data Index: 185177 (C4 (Web Text))

Max Activating Token Index: 25

Text #4

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Max Act: 0.0480. Min Act: -0.0002

Data Index: 652414 (C4 (Web Text))

Max Activating Token Index: 3

Text #5

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Data Index: 80787 (C4 (Web Text))

Max Activating Token Index: 964

Text #6

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Data Index: 1528923 (Python Code)

Max Activating Token Index: 114

Text #7

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Data Index: 1558108 (Python Code)

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Text #8

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Data Index: 1387395 (Python Code)

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Text #9

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Data Index: 1430696 (Python Code)

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Text #10

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Text #11

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Max Activating Token Index: 371

Text #12

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Data Index: 93327 (C4 (Web Text))

Max Activating Token Index: 738

Text #13

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Data Index: 1495938 (Python Code)

Max Activating Token Index: 795

Text #14

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Data Index: 1406510 (Python Code)

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Text #15

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Data Index: 1623391 (Python Code)

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Text #16

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Text #17

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Data Index: 1454027 (Python Code)

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Text #18

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Data Index: 149965 (C4 (Web Text))

Max Activating Token Index: 425

Text #19

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Max Act: 0.0430. Min Act: -0.0003

Data Index: 1384157 (Python Code)

Max Activating Token Index: 113