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

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

Neuron 278 in Layer 0

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

Text #0

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Data Index: 940693 (C4 (Web Text))

Max Activating Token Index: 876

Text #1

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Max Activating Token Index: 18

Text #2

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Max Activating Token Index: 297

Text #3

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Data Index: 1271014 (C4 (Web Text))

Max Activating Token Index: 214

Text #4

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Max Activating Token Index: 638

Text #5

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Max Activating Token Index: 878

Text #6

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Max Activating Token Index: 697

Text #7

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Text #8

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Max Activating Token Index: 538

Text #9

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Max Activating Token Index: 545

Text #10

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Max Activating Token Index: 293

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Max Activating Token Index: 380

Text #12

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Max Activating Token Index: 369

Text #13

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Max Activating Token Index: 636

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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Text #19

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Data Index: 907566 (C4 (Web Text))

Max Activating Token Index: 96