Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 561 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0135. Min Act: -0.0006

Data Index: 1133456 (C4 (Web Text))

Max Activating Token Index: 850

Text #1

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Max Act: 0.0126. Min Act: -0.0006

Data Index: 359921 (C4 (Web Text))

Max Activating Token Index: 556

Text #2

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Max Act: 0.0128. Min Act: -0.0006

Data Index: 395607 (C4 (Web Text))

Max Activating Token Index: 896

Text #3

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Max Act: 0.0108. Min Act: -0.0006

Data Index: 1284765 (C4 (Web Text))

Max Activating Token Index: 909

Text #4

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Data Index: 588811 (C4 (Web Text))

Max Activating Token Index: 63

Text #5

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Data Index: 178761 (C4 (Web Text))

Max Activating Token Index: 611

Text #6

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Max Activating Token Index: 352

Text #7

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Max Activating Token Index: 340

Text #8

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Max Activating Token Index: 932

Text #9

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Max Activating Token Index: 893

Text #10

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Data Index: 171629 (C4 (Web Text))

Max Activating Token Index: 471

Text #11

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Data Index: 603854 (C4 (Web Text))

Max Activating Token Index: 368

Text #12

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Max Activating Token Index: 899

Text #13

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Data Index: 36817 (C4 (Web Text))

Max Activating Token Index: 6

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: 795

Text #18

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Data Index: 1385130 (Python Code)

Max Activating Token Index: 119

Text #19

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Max Act: 0.0099. Min Act: -0.0006

Data Index: 1139234 (C4 (Web Text))

Max Activating Token Index: 195