Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1768 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0445. Min Act: -0.0003

Data Index: 1634521 (Python Code)

Max Activating Token Index: 180

Text #1

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Data Index: 81253 (C4 (Web Text))

Max Activating Token Index: 986

Text #2

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Max Act: 0.0444. Min Act: -0.0003

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Max Activating Token Index: 936

Text #3

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Max Act: 0.0391. Min Act: -0.0003

Data Index: 1315855 (C4 (Web Text))

Max Activating Token Index: 477

Text #4

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Data Index: 410084 (C4 (Web Text))

Max Activating Token Index: 981

Text #5

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Max Activating Token Index: 378

Text #6

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Text #9

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Text #10

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Text #12

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Max Activating Token Index: 527

Text #13

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Max Activating Token Index: 515

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 279

Text #18

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Max Activating Token Index: 382

Text #19

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Data Index: 520274 (C4 (Web Text))

Max Activating Token Index: 65