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

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

Neuron 25 in Layer 9

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



Text #0

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Max Act: 0.6579. Min Act: -0.0000

Data Index: 44968 (C4 (Web Text))

Max Activating Token Index: 601

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Text #1

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Data Index: 799627 (C4 (Web Text))

Max Activating Token Index: 791

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Text #2

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Data Index: 250252 (C4 (Web Text))

Max Activating Token Index: 979

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Text #3

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Data Index: 56918 (C4 (Web Text))

Max Activating Token Index: 667

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Text #4

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Data Index: 337499 (C4 (Web Text))

Max Activating Token Index: 693

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Text #5

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Data Index: 1338272 (C4 (Web Text))

Max Activating Token Index: 173

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Text #6

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Data Index: 180771 (C4 (Web Text))

Max Activating Token Index: 545

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Text #7

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Max Activating Token Index: 518

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Text #8

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Data Index: 1344576 (C4 (Web Text))

Max Activating Token Index: 569

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Text #9

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Data Index: 1130360 (C4 (Web Text))

Max Activating Token Index: 822

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Text #10

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Max Activating Token Index: 873

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Text #11

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Text #12

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Data Index: 165020 (C4 (Web Text))

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Text #13

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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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Data Index: 579230 (C4 (Web Text))

Max Activating Token Index: 544

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Text #19

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Data Index: 384265 (C4 (Web Text))

Max Activating Token Index: 185

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