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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 20 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.5016. Min Act: -0.0001

Data Index: 79643 (C4 (Web Text))

Max Activating Token Index: 945

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Text #1

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Max Act: 0.4781. Min Act: -0.0001

Data Index: 1221103 (C4 (Web Text))

Max Activating Token Index: 890

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Text #2

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Max Act: 0.4607. Min Act: -0.0001

Data Index: 975663 (C4 (Web Text))

Max Activating Token Index: 675

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Text #3

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Data Index: 699514 (C4 (Web Text))

Max Activating Token Index: 165

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Text #4

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Data Index: 658442 (C4 (Web Text))

Max Activating Token Index: 142

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Text #5

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Data Index: 35641 (C4 (Web Text))

Max Activating Token Index: 481

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Text #6

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Data Index: 916440 (C4 (Web Text))

Max Activating Token Index: 66

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Text #7

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Data Index: 1053045 (C4 (Web Text))

Max Activating Token Index: 810

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Text #8

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Data Index: 521478 (C4 (Web Text))

Max Activating Token Index: 799

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Text #9

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Data Index: 1054415 (C4 (Web Text))

Max Activating Token Index: 450

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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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Max Activating Token Index: 798

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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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Data Index: 1357151 (C4 (Web Text))

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Text #18

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Data Index: 551636 (C4 (Web Text))

Max Activating Token Index: 200

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Text #19

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Data Index: 905632 (C4 (Web Text))

Max Activating Token Index: 153

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