Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1983 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0314. Min Act: -0.0003

Data Index: 860733 (C4 (Web Text))

Max Activating Token Index: 24

Text #1

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Data Index: 65639 (C4 (Web Text))

Max Activating Token Index: 892

Text #2

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Max Act: 0.0293. Min Act: -0.0003

Data Index: 205580 (C4 (Web Text))

Max Activating Token Index: 652

Text #3

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Max Act: 0.0287. Min Act: -0.0003

Data Index: 857274 (C4 (Web Text))

Max Activating Token Index: 275

Text #4

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Data Index: 419716 (C4 (Web Text))

Max Activating Token Index: 878

Text #5

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Max Activating Token Index: 223

Text #6

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Max Activating Token Index: 755

Text #7

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Max Activating Token Index: 174

Text #8

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Max Activating Token Index: 546

Text #9

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Max Activating Token Index: 53

Text #10

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Max Activating Token Index: 252

Text #11

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Max Activating Token Index: 885

Text #12

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Max Activating Token Index: 335

Text #13

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Max Activating Token Index: 10

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: 598

Text #19

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Data Index: 1177312 (C4 (Web Text))

Max Activating Token Index: 70