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

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

Neuron 5045 in Layer 1

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

Text #0

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Max Act: 0.0456. Min Act: -0.0003

Data Index: 331938 (C4 (Web Text))

Max Activating Token Index: 231

Text #1

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 1257320 (C4 (Web Text))

Max Activating Token Index: 283

Text #2

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Max Act: 0.0448. Min Act: -0.0003

Data Index: 506764 (C4 (Web Text))

Max Activating Token Index: 413

Text #3

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Max Act: 0.0435. Min Act: -0.0002

Data Index: 881351 (C4 (Web Text))

Max Activating Token Index: 516

Text #4

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Max Act: 0.0426. Min Act: -0.0003

Data Index: 926283 (C4 (Web Text))

Max Activating Token Index: 462

Text #5

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Max Act: 0.0423. Min Act: -0.0003

Data Index: 76708 (C4 (Web Text))

Max Activating Token Index: 190

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 333

Text #9

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Text #10

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Max Activating Token Index: 617

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Max Activating Token Index: 588

Text #12

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Max Activating Token Index: 347

Text #13

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Max Activating Token Index: 463

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 465

Text #19

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Data Index: 8821 (C4 (Web Text))

Max Activating Token Index: 558