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

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

Neuron 2729 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: 0.0253. Min Act: -0.0000

Data Index: 599612 (C4 (Web Text))

Max Activating Token Index: 1015

Text #1

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Max Activating Token Index: 751

Text #2

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Max Act: 0.0153. Min Act: -0.0000

Data Index: 369720 (C4 (Web Text))

Max Activating Token Index: 794

Text #3

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Max Act: 0.0140. Min Act: -0.0000

Data Index: 1277654 (C4 (Web Text))

Max Activating Token Index: 914

Text #4

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Data Index: 1109440 (C4 (Web Text))

Max Activating Token Index: 974

Text #5

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Data Index: 1594284 (Python Code)

Max Activating Token Index: 1019

Text #6

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Data Index: 1491806 (Python Code)

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Text #7

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Data Index: 98023 (C4 (Web Text))

Max Activating Token Index: 536

Text #8

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Data Index: 1577072 (Python Code)

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Text #9

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Max Activating Token Index: 735

Text #10

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Max Activating Token Index: 784

Text #11

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Data Index: 822531 (C4 (Web Text))

Max Activating Token Index: 156

Text #12

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Data Index: 1515735 (Python Code)

Max Activating Token Index: 671

Text #13

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Data Index: 832692 (C4 (Web Text))

Max Activating Token Index: 294

Text #14

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Data Index: 1654168 (Python Code)

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Text #15

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Data Index: 1528819 (Python Code)

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Text #16

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Data Index: 1445802 (Python Code)

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Text #17

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Data Index: 1640708 (Python Code)

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Text #18

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Data Index: 1111334 (C4 (Web Text))

Max Activating Token Index: 359

Text #19

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Data Index: 229558 (C4 (Web Text))

Max Activating Token Index: 1000