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

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

Neuron 4322 in Layer 0

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

Text #0

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Max Act: 0.0489. Min Act: -0.0002

Data Index: 781166 (C4 (Web Text))

Max Activating Token Index: 632

Text #1

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Data Index: 422707 (C4 (Web Text))

Max Activating Token Index: 399

Text #2

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Max Act: 0.0467. Min Act: -0.0002

Data Index: 167259 (C4 (Web Text))

Max Activating Token Index: 741

Text #3

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Max Act: 0.0454. Min Act: -0.0002

Data Index: 647578 (C4 (Web Text))

Max Activating Token Index: 666

Text #4

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Max Act: 0.0460. Min Act: -0.0002

Data Index: 1295524 (C4 (Web Text))

Max Activating Token Index: 282

Text #5

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Data Index: 57817 (C4 (Web Text))

Max Activating Token Index: 754

Text #6

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Data Index: 763614 (C4 (Web Text))

Max Activating Token Index: 240

Text #7

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Data Index: 134102 (C4 (Web Text))

Max Activating Token Index: 110

Text #8

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Data Index: 304202 (C4 (Web Text))

Max Activating Token Index: 291

Text #9

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Max Activating Token Index: 297

Text #10

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Max Activating Token Index: 1005

Text #11

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Max Activating Token Index: 555

Text #12

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Max Activating Token Index: 573

Text #13

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Data Index: 142102 (C4 (Web Text))

Max Activating Token Index: 756

Text #14

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Max Activating Token Index: 858

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 77524 (C4 (Web Text))

Max Activating Token Index: 30

Text #19

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Data Index: 558597 (C4 (Web Text))

Max Activating Token Index: 207