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

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

Neuron 3037 in Layer 1

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

Text #0

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Max Act: 0.0450. Min Act: -0.0003

Data Index: 1423431 (Python Code)

Max Activating Token Index: 766

Text #1

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Max Act: 0.0395. Min Act: -0.0003

Data Index: 1441142 (Python Code)

Max Activating Token Index: 144

Text #2

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 1656335 (Python Code)

Max Activating Token Index: 149

Text #3

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Max Act: 0.0362. Min Act: -0.0002

Data Index: 1582709 (Python Code)

Max Activating Token Index: 653

Text #4

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Max Act: 0.0305. Min Act: -0.0002

Data Index: 1471617 (Python Code)

Max Activating Token Index: 74

Text #5

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Max Act: 0.0302. Min Act: -0.0002

Data Index: 1623082 (Python Code)

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Text #6

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Data Index: 1617293 (Python Code)

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Text #7

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Data Index: 1402063 (Python Code)

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Text #8

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Data Index: 1580146 (Python Code)

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Text #9

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Data Index: 1654816 (Python Code)

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Text #10

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Data Index: 1554647 (Python Code)

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Text #11

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Data Index: 1586335 (Python Code)

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Text #12

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Data Index: 1545613 (Python Code)

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Text #13

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Data Index: 1642553 (Python Code)

Max Activating Token Index: 259

Text #14

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Data Index: 731277 (C4 (Web Text))

Max Activating Token Index: 283

Text #15

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Data Index: 1566441 (Python Code)

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Text #16

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Data Index: 1599310 (Python Code)

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Text #17

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Data Index: 1389279 (Python Code)

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Text #18

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Data Index: 1650288 (Python Code)

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Text #19

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Max Act: 0.0260. Min Act: -0.0002

Data Index: 1642603 (Python Code)

Max Activating Token Index: 381