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

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

Neuron 673 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0718. Min Act: -0.0001

Data Index: 753780 (C4 (Web Text))

Max Activating Token Index: 98

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Truncated

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Text #1

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Max Act: 0.0675. Min Act: -0.0001

Data Index: 866746 (C4 (Web Text))

Max Activating Token Index: 822

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Truncated

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Text #2

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Max Act: 0.0669. Min Act: -0.0001

Data Index: 1350255 (C4 (Web Text))

Max Activating Token Index: 395

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Truncated

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Text #3

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Data Index: 792147 (C4 (Web Text))

Max Activating Token Index: 44

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Truncated

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Text #4

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Max Act: 0.0687. Min Act: -0.0001

Data Index: 852592 (C4 (Web Text))

Max Activating Token Index: 238

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Truncated

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Text #5

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Max Act: 0.0673. Min Act: -0.0001

Data Index: 768194 (C4 (Web Text))

Max Activating Token Index: 607

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Text #6

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Data Index: 938899 (C4 (Web Text))

Max Activating Token Index: 121

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Truncated

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Text #7

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Data Index: 385422 (C4 (Web Text))

Max Activating Token Index: 450

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Truncated

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Text #8

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Data Index: 754144 (C4 (Web Text))

Max Activating Token Index: 622

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Text #9

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Data Index: 1018441 (C4 (Web Text))

Max Activating Token Index: 91

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Truncated

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Text #10

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Data Index: 607779 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 497609 (C4 (Web Text))

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Text #13

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Data Index: 395765 (C4 (Web Text))

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Text #14

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Data Index: 784240 (C4 (Web Text))

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Text #15

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Data Index: 119636 (C4 (Web Text))

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Text #16

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Data Index: 339761 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 305799 (C4 (Web Text))

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Text #18

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Data Index: 254329 (C4 (Web Text))

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Text #19

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Data Index: 304984 (C4 (Web Text))

Max Activating Token Index: 724

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