Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1805 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0075. Min Act: -0.0006

Data Index: 973785 (C4 (Web Text))

Max Activating Token Index: 435

Text #1

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Data Index: 114079 (C4 (Web Text))

Max Activating Token Index: 10

Text #2

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Data Index: 538230 (C4 (Web Text))

Max Activating Token Index: 847

Text #3

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Data Index: 1165268 (C4 (Web Text))

Max Activating Token Index: 69

Text #4

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Data Index: 1303496 (C4 (Web Text))

Max Activating Token Index: 638

Text #5

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Data Index: 863724 (C4 (Web Text))

Max Activating Token Index: 463

Text #6

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Data Index: 85125 (C4 (Web Text))

Max Activating Token Index: 61

Text #7

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Data Index: 183422 (C4 (Web Text))

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Text #8

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Max Activating Token Index: 575

Text #9

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Data Index: 14220 (C4 (Web Text))

Max Activating Token Index: 460

Text #10

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Data Index: 978063 (C4 (Web Text))

Max Activating Token Index: 535

Text #11

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Text #12

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Data Index: 571859 (C4 (Web Text))

Max Activating Token Index: 987

Text #13

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Data Index: 1065361 (C4 (Web Text))

Max Activating Token Index: 322

Text #14

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Max Activating Token Index: 863

Text #15

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Text #16

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Text #17

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Data Index: 496820 (C4 (Web Text))

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Text #18

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Data Index: 231495 (C4 (Web Text))

Max Activating Token Index: 538

Text #19

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Data Index: 1233876 (C4 (Web Text))

Max Activating Token Index: 701