Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 939 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.1945. Min Act: -0.0003

Data Index: 1349448 (C4 (Web Text))

Max Activating Token Index: 921

Text #1

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Max Act: 0.1675. Min Act: -0.0003

Data Index: 248925 (C4 (Web Text))

Max Activating Token Index: 700

Text #2

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Data Index: 1229937 (C4 (Web Text))

Max Activating Token Index: 288

Text #3

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Max Act: 0.1641. Min Act: -0.0003

Data Index: 1045677 (C4 (Web Text))

Max Activating Token Index: 799

Text #4

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Data Index: 778309 (C4 (Web Text))

Max Activating Token Index: 199

Text #5

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Data Index: 1142210 (C4 (Web Text))

Max Activating Token Index: 981

Text #6

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Data Index: 397253 (C4 (Web Text))

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Text #7

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Max Activating Token Index: 301

Text #8

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Text #9

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Data Index: 279052 (C4 (Web Text))

Max Activating Token Index: 655

Text #10

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Text #11

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Max Activating Token Index: 772

Text #12

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Max Activating Token Index: 495

Text #13

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Data Index: 244558 (C4 (Web Text))

Max Activating Token Index: 345

Text #14

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Data Index: 888457 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 174110 (C4 (Web Text))

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Text #18

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Data Index: 710081 (C4 (Web Text))

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Text #19

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Data Index: 808332 (C4 (Web Text))

Max Activating Token Index: 747