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

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

Neuron 7 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: 0.6459. Min Act: -0.0002

Data Index: 1114286 (C4 (Web Text))

Max Activating Token Index: 497

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Text #1

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Data Index: 575160 (C4 (Web Text))

Max Activating Token Index: 608

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Text #2

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Max Act: 0.7127. Min Act: -0.0001

Data Index: 443076 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #3

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Data Index: 237870 (C4 (Web Text))

Max Activating Token Index: 351

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Text #4

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Data Index: 1096958 (C4 (Web Text))

Max Activating Token Index: 533

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Text #5

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Data Index: 266539 (C4 (Web Text))

Max Activating Token Index: 706

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Text #6

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Data Index: 15891 (C4 (Web Text))

Max Activating Token Index: 823

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Text #7

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Data Index: 1033931 (C4 (Web Text))

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Text #8

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Data Index: 1009358 (C4 (Web Text))

Max Activating Token Index: 251

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Text #9

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Data Index: 78674 (C4 (Web Text))

Max Activating Token Index: 217

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Text #10

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Data Index: 327641 (C4 (Web Text))

Max Activating Token Index: 914

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Text #11

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Text #12

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Data Index: 668683 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 341982 (C4 (Web Text))

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Text #15

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Data Index: 347201 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 64401 (C4 (Web Text))

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Text #18

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Data Index: 974901 (C4 (Web Text))

Max Activating Token Index: 35

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Text #19

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Data Index: 381389 (C4 (Web Text))

Max Activating Token Index: 778

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