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

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

Neuron 982 in Layer 0

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

Text #0

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 1009860 (C4 (Web Text))

Max Activating Token Index: 43

Text #1

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Data Index: 34919 (C4 (Web Text))

Max Activating Token Index: 20

Text #2

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Data Index: 116823 (C4 (Web Text))

Max Activating Token Index: 407

Text #3

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Data Index: 241844 (C4 (Web Text))

Max Activating Token Index: 67

Text #4

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Data Index: 189045 (C4 (Web Text))

Max Activating Token Index: 790

Text #5

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Max Activating Token Index: 61

Text #6

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Data Index: 1312334 (C4 (Web Text))

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Text #7

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Max Activating Token Index: 67

Text #8

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Max Activating Token Index: 256

Text #9

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Max Activating Token Index: 304

Text #10

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Text #11

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Text #12

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Data Index: 319398 (C4 (Web Text))

Max Activating Token Index: 441

Text #13

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Max Activating Token Index: 725

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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Text #19

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Data Index: 429530 (C4 (Web Text))

Max Activating Token Index: 1014