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

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

Neuron 1799 in Layer 1

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

Text #0

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Max Act: 0.0374. Min Act: -0.0003

Data Index: 1143185 (C4 (Web Text))

Max Activating Token Index: 93

Text #1

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Data Index: 566879 (C4 (Web Text))

Max Activating Token Index: 173

Text #2

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Data Index: 102316 (C4 (Web Text))

Max Activating Token Index: 122

Text #3

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 369287 (C4 (Web Text))

Max Activating Token Index: 459

Text #4

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Data Index: 1140514 (C4 (Web Text))

Max Activating Token Index: 270

Text #5

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Max Activating Token Index: 300

Text #6

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Text #7

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Max Activating Token Index: 280

Text #8

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Max Activating Token Index: 250

Text #9

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Text #10

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Max Activating Token Index: 955

Text #12

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Max Activating Token Index: 63

Text #13

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Max Activating Token Index: 374

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: 378

Text #18

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Text #19

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Data Index: 1240360 (C4 (Web Text))

Max Activating Token Index: 125