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

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

Neuron 2298 in Layer 3

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

Text #0

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Max Act: 0.0789. Min Act: -0.0001

Data Index: 41198 (C4 (Web Text))

Max Activating Token Index: 747

Text #1

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Max Act: 0.0652. Min Act: -0.0001

Data Index: 1282359 (C4 (Web Text))

Max Activating Token Index: 70

Text #2

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Max Act: 0.0599. Min Act: -0.0001

Data Index: 176766 (C4 (Web Text))

Max Activating Token Index: 139

Text #3

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Max Act: 0.0595. Min Act: -0.0001

Data Index: 468019 (C4 (Web Text))

Max Activating Token Index: 825

Text #4

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Data Index: 1273836 (C4 (Web Text))

Max Activating Token Index: 423

Text #5

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Data Index: 1326680 (C4 (Web Text))

Max Activating Token Index: 64

Text #6

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Data Index: 803877 (C4 (Web Text))

Max Activating Token Index: 197

Text #7

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Max Activating Token Index: 837

Text #8

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Max Activating Token Index: 340

Text #9

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Max Activating Token Index: 47

Text #10

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Data Index: 490267 (C4 (Web Text))

Max Activating Token Index: 448

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Data Index: 230937 (C4 (Web Text))

Max Activating Token Index: 979

Text #12

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Max Activating Token Index: 529

Text #13

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Data Index: 21376 (C4 (Web Text))

Max Activating Token Index: 802

Text #14

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Data Index: 88466 (C4 (Web Text))

Max Activating Token Index: 264

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 598

Text #18

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Data Index: 97397 (C4 (Web Text))

Max Activating Token Index: 521

Text #19

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Data Index: 396130 (C4 (Web Text))

Max Activating Token Index: 390