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

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

Neuron 655 in Layer 9

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



Text #0

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Max Act: 0.9507. Min Act: -0.0000

Data Index: 894255 (C4 (Web Text))

Max Activating Token Index: 844

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Text #1

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Data Index: 50434 (C4 (Web Text))

Max Activating Token Index: 916

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Text #2

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Data Index: 786075 (C4 (Web Text))

Max Activating Token Index: 321

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Text #3

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Data Index: 1334965 (C4 (Web Text))

Max Activating Token Index: 765

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Text #4

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Data Index: 682484 (C4 (Web Text))

Max Activating Token Index: 347

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Text #5

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Data Index: 1206427 (C4 (Web Text))

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Text #6

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Data Index: 1524378 (Python Code)

Max Activating Token Index: 482

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Text #7

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Text #8

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Data Index: 903212 (C4 (Web Text))

Max Activating Token Index: 346

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Text #9

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Data Index: 1399236 (Python Code)

Max Activating Token Index: 159

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 1457524 (Python Code)

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Text #16

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Data Index: 1289190 (C4 (Web Text))

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Text #17

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Data Index: 1342618 (C4 (Web Text))

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Text #18

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Data Index: 279768 (C4 (Web Text))

Max Activating Token Index: 669

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Text #19

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Data Index: 456078 (C4 (Web Text))

Max Activating Token Index: 653

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