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

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

Neuron 1364 in Layer 0

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

Text #0

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Data Index: 1265314 (C4 (Web Text))

Max Activating Token Index: 511

Text #1

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Max Activating Token Index: 575

Text #2

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Data Index: 350963 (C4 (Web Text))

Max Activating Token Index: 125

Text #3

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Data Index: 1172707 (C4 (Web Text))

Max Activating Token Index: 740

Text #4

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Data Index: 383330 (C4 (Web Text))

Max Activating Token Index: 849

Text #5

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Max Activating Token Index: 788

Text #6

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Max Activating Token Index: 532

Text #7

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Max Activating Token Index: 815

Text #8

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Max Activating Token Index: 861

Text #9

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Max Activating Token Index: 304

Text #10

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Max Activating Token Index: 592

Text #11

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Max Activating Token Index: 588

Text #12

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Max Activating Token Index: 268

Text #13

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Max Activating Token Index: 642

Text #14

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Max Activating Token Index: 790

Text #15

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Max Activating Token Index: 64

Text #16

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Max Activating Token Index: 488

Text #17

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Max Activating Token Index: 309

Text #18

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Max Activating Token Index: 534

Text #19

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Data Index: 925255 (C4 (Web Text))

Max Activating Token Index: 435