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

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

Neuron 44 in Layer 9

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



Text #0

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Max Act: 1.2845. Min Act: -0.0000

Data Index: 1024057 (C4 (Web Text))

Max Activating Token Index: 144

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Text #1

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Max Act: 1.0128. Min Act: -0.0000

Data Index: 1275407 (C4 (Web Text))

Max Activating Token Index: 985

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Text #2

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Max Act: 0.9573. Min Act: -0.0000

Data Index: 656339 (C4 (Web Text))

Max Activating Token Index: 332

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Text #3

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Max Act: 0.9142. Min Act: -0.0000

Data Index: 1433780 (Python Code)

Max Activating Token Index: 24

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Text #4

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Max Act: 0.8842. Min Act: -0.0000

Data Index: 675307 (C4 (Web Text))

Max Activating Token Index: 442

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Text #5

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Data Index: 21726 (C4 (Web Text))

Max Activating Token Index: 524

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Text #6

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Data Index: 234411 (C4 (Web Text))

Max Activating Token Index: 651

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Text #7

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Data Index: 1292582 (C4 (Web Text))

Max Activating Token Index: 927

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Text #8

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Data Index: 120069 (C4 (Web Text))

Max Activating Token Index: 948

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Text #9

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Data Index: 1229776 (C4 (Web Text))

Max Activating Token Index: 680

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Text #10

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Data Index: 1344756 (C4 (Web Text))

Max Activating Token Index: 649

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Text #11

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Data Index: 1516598 (Python Code)

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Text #12

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Data Index: 539781 (C4 (Web Text))

Max Activating Token Index: 899

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Text #13

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Data Index: 1173526 (C4 (Web Text))

Max Activating Token Index: 942

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Text #14

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Data Index: 822297 (C4 (Web Text))

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Text #15

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Data Index: 117087 (C4 (Web Text))

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Text #16

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Data Index: 718744 (C4 (Web Text))

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Text #17

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Data Index: 1564167 (Python Code)

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Text #18

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Max Act: 0.9145. Min Act: -0.0000

Data Index: 825330 (C4 (Web Text))

Max Activating Token Index: 838

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Text #19

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Max Act: 0.8336. Min Act: -0.0000

Data Index: 791473 (C4 (Web Text))

Max Activating Token Index: 824

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