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

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

Neuron 4698 in Layer 5

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: 0.0286. Min Act: -0.0001

Data Index: 366405 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 530877 (C4 (Web Text))

Max Activating Token Index: 34

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Text #2

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Max Act: 0.0242. Min Act: -0.0000

Data Index: 1142164 (C4 (Web Text))

Max Activating Token Index: 152

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Text #3

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Data Index: 1195602 (C4 (Web Text))

Max Activating Token Index: 359

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Text #4

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Data Index: 690498 (C4 (Web Text))

Max Activating Token Index: 905

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Text #5

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Data Index: 950670 (C4 (Web Text))

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Text #6

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Data Index: 887480 (C4 (Web Text))

Max Activating Token Index: 718

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Text #7

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Data Index: 1324601 (C4 (Web Text))

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Text #8

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Data Index: 1187641 (C4 (Web Text))

Max Activating Token Index: 724

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Text #9

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Data Index: 1201813 (C4 (Web Text))

Max Activating Token Index: 536

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Text #10

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Truncated

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 1652294 (Python Code)

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Text #16

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Text #17

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Data Index: 1304812 (C4 (Web Text))

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Text #18

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Data Index: 1205055 (C4 (Web Text))

Max Activating Token Index: 575

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Text #19

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Data Index: 658038 (C4 (Web Text))

Max Activating Token Index: 141

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