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

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

Neuron 1529 in Layer 9

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

Text #0

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Max Act: 0.0048. Min Act: -0.0000

Data Index: 1228524 (C4 (Web Text))

Max Activating Token Index: 970

Text #1

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Data Index: 1460402 (Python Code)

Max Activating Token Index: 597

Text #2

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Max Act: 0.0033. Min Act: -0.0000

Data Index: 315481 (C4 (Web Text))

Max Activating Token Index: 867

Text #3

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Max Act: 0.0036. Min Act: -0.0000

Data Index: 356025 (C4 (Web Text))

Max Activating Token Index: 297

Text #4

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Max Act: 0.0035. Min Act: -0.0000

Data Index: 938370 (C4 (Web Text))

Max Activating Token Index: 235

Text #5

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Data Index: 1471017 (Python Code)

Max Activating Token Index: 997

Text #6

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Data Index: 600667 (C4 (Web Text))

Max Activating Token Index: 408

Text #7

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Data Index: 1554302 (Python Code)

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Text #8

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Data Index: 1386025 (Python Code)

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Text #9

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Max Activating Token Index: 1014

Text #10

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Text #11

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Text #12

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Text #13

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Data Index: 595419 (C4 (Web Text))

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Text #14

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Data Index: 1581003 (Python Code)

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Text #15

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Data Index: 36719 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 598094 (C4 (Web Text))

Max Activating Token Index: 746