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

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

Neuron 3109 in Layer 2

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

Text #0

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Max Act: 0.0679. Min Act: -0.0002

Data Index: 228245 (C4 (Web Text))

Max Activating Token Index: 748

Text #1

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Data Index: 530898 (C4 (Web Text))

Max Activating Token Index: 326

Text #2

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Data Index: 559464 (C4 (Web Text))

Max Activating Token Index: 58

Text #3

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Max Act: 0.0685. Min Act: -0.0002

Data Index: 167187 (C4 (Web Text))

Max Activating Token Index: 75

Text #4

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Data Index: 835875 (C4 (Web Text))

Max Activating Token Index: 398

Text #5

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Max Activating Token Index: 67

Text #6

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Text #7

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Max Activating Token Index: 49

Text #8

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Max Activating Token Index: 469

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Text #10

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Max Activating Token Index: 672

Text #11

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Max Activating Token Index: 383

Text #12

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Max Activating Token Index: 37

Text #13

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Data Index: 289548 (C4 (Web Text))

Max Activating Token Index: 321

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: 1022525 (C4 (Web Text))

Max Activating Token Index: 288