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

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

Neuron 5104 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 2.9625. Min Act: -0.0001

Data Index: 1197613 (C4 (Web Text))

Max Activating Token Index: 837

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Text #1

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Data Index: 558086 (C4 (Web Text))

Max Activating Token Index: 569

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Text #2

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Data Index: 196569 (C4 (Web Text))

Max Activating Token Index: 909

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Text #3

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Data Index: 78028 (C4 (Web Text))

Max Activating Token Index: 674

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Text #4

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Data Index: 842359 (C4 (Web Text))

Max Activating Token Index: 651

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Text #5

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Data Index: 892507 (C4 (Web Text))

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Text #6

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Data Index: 686157 (C4 (Web Text))

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Text #7

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Data Index: 978374 (C4 (Web Text))

Max Activating Token Index: 752

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Text #8

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Data Index: 1144503 (C4 (Web Text))

Max Activating Token Index: 154

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Text #9

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Data Index: 4631 (C4 (Web Text))

Max Activating Token Index: 886

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Text #10

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Data Index: 912040 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1096415 (C4 (Web Text))

Max Activating Token Index: 909

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Text #13

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Data Index: 463788 (C4 (Web Text))

Max Activating Token Index: 8

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Text #14

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Text #15

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Data Index: 96193 (C4 (Web Text))

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Text #16

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Data Index: 1092808 (C4 (Web Text))

Max Activating Token Index: 272

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Text #17

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Data Index: 302421 (C4 (Web Text))

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Text #18

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Data Index: 968231 (C4 (Web Text))

Max Activating Token Index: 973

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Text #19

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Data Index: 534964 (C4 (Web Text))

Max Activating Token Index: 240

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