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

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

Neuron 2731 in Layer 4

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: 0.1025. Min Act: -0.0001

Data Index: 382297 (C4 (Web Text))

Max Activating Token Index: 815

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Text #1

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Max Act: 0.0953. Min Act: -0.0001

Data Index: 1020826 (C4 (Web Text))

Max Activating Token Index: 695

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Text #2

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Data Index: 624976 (C4 (Web Text))

Max Activating Token Index: 729

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Text #3

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Max Act: 0.0905. Min Act: -0.0001

Data Index: 564030 (C4 (Web Text))

Max Activating Token Index: 863

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Text #4

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Max Act: 0.0897. Min Act: -0.0001

Data Index: 549073 (C4 (Web Text))

Max Activating Token Index: 647

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Text #5

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Data Index: 1246271 (C4 (Web Text))

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Text #6

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Data Index: 923665 (C4 (Web Text))

Max Activating Token Index: 695

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Text #7

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Data Index: 688523 (C4 (Web Text))

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Text #8

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Data Index: 518142 (C4 (Web Text))

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Text #9

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Data Index: 1330151 (C4 (Web Text))

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Text #10

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Data Index: 1229411 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 82180 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1535469 (Python Code)

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Text #15

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Data Index: 1113058 (C4 (Web Text))

Max Activating Token Index: 992

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Text #16

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Text #17

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Data Index: 852240 (C4 (Web Text))

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Text #18

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Data Index: 658358 (C4 (Web Text))

Max Activating Token Index: 751

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Text #19

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Data Index: 1522001 (Python Code)

Max Activating Token Index: 915

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