Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 980 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0219. Min Act: -0.0005

Data Index: 226255 (C4 (Web Text))

Max Activating Token Index: 26

Text #1

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Max Activating Token Index: 359

Text #2

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Max Act: 0.0226. Min Act: -0.0005

Data Index: 325940 (C4 (Web Text))

Max Activating Token Index: 24

Text #3

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Max Act: 0.0225. Min Act: -0.0005

Data Index: 1295621 (C4 (Web Text))

Max Activating Token Index: 366

Text #4

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Data Index: 1270419 (C4 (Web Text))

Max Activating Token Index: 27

Text #5

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Data Index: 644502 (C4 (Web Text))

Max Activating Token Index: 32

Text #6

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Max Activating Token Index: 471

Text #7

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Max Activating Token Index: 487

Text #8

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Max Activating Token Index: 761

Text #9

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Max Activating Token Index: 716

Text #10

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Max Activating Token Index: 36

Text #11

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Data Index: 468162 (C4 (Web Text))

Max Activating Token Index: 464

Text #12

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Max Activating Token Index: 873

Text #13

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Data Index: 743101 (C4 (Web Text))

Max Activating Token Index: 54

Text #14

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Data Index: 203155 (C4 (Web Text))

Max Activating Token Index: 502

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 20

Text #18

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Data Index: 103257 (C4 (Web Text))

Max Activating Token Index: 494

Text #19

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Data Index: 350821 (C4 (Web Text))

Max Activating Token Index: 427