Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 459 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 1.1962. Min Range: -1.1962

Max Act: 1.1962. Min Act: -0.0001

Data Index: 969545 (C4 (Web Text))

Max Activating Token Index: 214

Text #1

Max Range: 1.1962. Min Range: -1.1962

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Data Index: 1334420 (C4 (Web Text))

Max Activating Token Index: 736

Text #2

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Data Index: 268300 (C4 (Web Text))

Max Activating Token Index: 10

Text #3

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Data Index: 683200 (C4 (Web Text))

Max Activating Token Index: 761

Text #4

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Data Index: 300312 (C4 (Web Text))

Max Activating Token Index: 6

Text #5

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Data Index: 698980 (C4 (Web Text))

Max Activating Token Index: 674

Text #6

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Max Activating Token Index: 5

Text #7

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Max Activating Token Index: 615

Text #8

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Data Index: 86517 (C4 (Web Text))

Max Activating Token Index: 1000

Text #9

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Data Index: 40337 (C4 (Web Text))

Max Activating Token Index: 958

Text #10

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Data Index: 89842 (C4 (Web Text))

Max Activating Token Index: 11

Text #11

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Data Index: 217143 (C4 (Web Text))

Max Activating Token Index: 39

Text #12

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Data Index: 1184269 (C4 (Web Text))

Max Activating Token Index: 712

Text #13

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Data Index: 1276638 (C4 (Web Text))

Max Activating Token Index: 327

Text #14

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Data Index: 868614 (C4 (Web Text))

Max Activating Token Index: 445

Text #15

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Text #16

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Text #17

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Data Index: 870332 (C4 (Web Text))

Max Activating Token Index: 312

Text #18

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Data Index: 91831 (C4 (Web Text))

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Text #19

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Data Index: 1214704 (C4 (Web Text))

Max Activating Token Index: 50