Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1080 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0355. Min Act: -0.0004

Data Index: 202309 (C4 (Web Text))

Max Activating Token Index: 789

Text #1

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Max Activating Token Index: 718

Text #2

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Max Activating Token Index: 277

Text #3

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Data Index: 654333 (C4 (Web Text))

Max Activating Token Index: 319

Text #4

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Max Activating Token Index: 981

Text #5

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Max Activating Token Index: 489

Text #6

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Text #7

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Max Activating Token Index: 216

Text #8

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Text #9

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Max Activating Token Index: 966

Text #10

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Max Activating Token Index: 641

Text #11

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Max Activating Token Index: 273

Text #12

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Max Activating Token Index: 290

Text #13

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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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Max Activating Token Index: 709

Text #19

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Data Index: 504380 (C4 (Web Text))

Max Activating Token Index: 704