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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3150 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.1395. Min Act: -0.0000

Data Index: 576567 (C4 (Web Text))

Max Activating Token Index: 516

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Text #1

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Data Index: 1307443 (C4 (Web Text))

Max Activating Token Index: 148

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Truncated

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Text #2

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Max Act: 0.1229. Min Act: -0.0000

Data Index: 390232 (C4 (Web Text))

Max Activating Token Index: 657

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Text #3

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Data Index: 229603 (C4 (Web Text))

Max Activating Token Index: 637

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Truncated

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Text #4

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Data Index: 1341413 (C4 (Web Text))

Max Activating Token Index: 422

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Truncated

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Text #5

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Data Index: 356555 (C4 (Web Text))

Max Activating Token Index: 434

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Text #6

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Data Index: 906088 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 400032 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1053533 (C4 (Web Text))

Max Activating Token Index: 891

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Text #9

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Data Index: 399705 (C4 (Web Text))

Max Activating Token Index: 980

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Text #10

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Data Index: 1214148 (C4 (Web Text))

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Text #11

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Data Index: 1640701 (Python Code)

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Text #12

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Data Index: 340667 (C4 (Web Text))

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Text #13

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Data Index: 388859 (C4 (Web Text))

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Text #14

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Data Index: 908969 (C4 (Web Text))

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Text #15

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Data Index: 315515 (C4 (Web Text))

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Text #16

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Data Index: 1556001 (Python Code)

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Text #17

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Data Index: 775711 (C4 (Web Text))

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Text #18

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Data Index: 73545 (C4 (Web Text))

Max Activating Token Index: 47

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Text #19

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Data Index: 227758 (C4 (Web Text))

Max Activating Token Index: 24

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