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

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

Neuron 1489 in Layer 1

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

Text #0

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Data Index: 188790 (C4 (Web Text))

Max Activating Token Index: 894

Text #1

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Data Index: 1648702 (Python Code)

Max Activating Token Index: 130

Text #2

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Data Index: 50989 (C4 (Web Text))

Max Activating Token Index: 780

Text #3

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Data Index: 897521 (C4 (Web Text))

Max Activating Token Index: 29

Text #4

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Max Activating Token Index: 33

Text #5

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Max Activating Token Index: 28

Text #6

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Max Activating Token Index: 240

Text #7

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Data Index: 1635611 (Python Code)

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Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 35

Text #12

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Max Activating Token Index: 430

Text #13

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Data Index: 1582205 (Python Code)

Max Activating Token Index: 8

Text #14

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Data Index: 338578 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1466218 (Python Code)

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Text #18

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Text #19

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Data Index: 477427 (C4 (Web Text))

Max Activating Token Index: 8