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

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

Neuron 1451 in Layer 0

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

Text #0

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Max Act: 0.0251. Min Act: -0.0004

Data Index: 299697 (C4 (Web Text))

Max Activating Token Index: 180

Text #1

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Data Index: 317894 (C4 (Web Text))

Max Activating Token Index: 13

Text #2

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Data Index: 192411 (C4 (Web Text))

Max Activating Token Index: 14

Text #3

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Max Act: 0.0228. Min Act: -0.0004

Data Index: 1180064 (C4 (Web Text))

Max Activating Token Index: 931

Text #4

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Data Index: 584399 (C4 (Web Text))

Max Activating Token Index: 435

Text #5

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Data Index: 1111252 (C4 (Web Text))

Max Activating Token Index: 508

Text #6

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Max Activating Token Index: 125

Text #7

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Max Activating Token Index: 10

Text #8

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Max Activating Token Index: 120

Text #9

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Max Activating Token Index: 971

Text #10

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Max Activating Token Index: 691

Text #11

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Max Activating Token Index: 795

Text #12

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Max Activating Token Index: 766

Text #13

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Data Index: 1212701 (C4 (Web Text))

Max Activating Token Index: 550

Text #14

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Data Index: 523232 (C4 (Web Text))

Max Activating Token Index: 660

Text #15

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Text #16

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Max Activating Token Index: 660

Text #17

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Max Activating Token Index: 395

Text #18

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Max Activating Token Index: 199

Text #19

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Data Index: 1284184 (C4 (Web Text))

Max Activating Token Index: 825