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

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

Neuron 3019 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: 0.9375. Min Act: -0.0001

Data Index: 627819 (C4 (Web Text))

Max Activating Token Index: 9

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Text #1

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Max Act: 0.7812. Min Act: -0.0001

Data Index: 165240 (C4 (Web Text))

Max Activating Token Index: 422

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Text #2

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Max Act: 0.7695. Min Act: -0.0001

Data Index: 542618 (C4 (Web Text))

Max Activating Token Index: 979

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Text #3

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Data Index: 1014850 (C4 (Web Text))

Max Activating Token Index: 766

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Text #4

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Data Index: 1022261 (C4 (Web Text))

Max Activating Token Index: 202

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Text #5

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Data Index: 586837 (C4 (Web Text))

Max Activating Token Index: 486

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Text #6

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Data Index: 106905 (C4 (Web Text))

Max Activating Token Index: 798

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Text #7

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Data Index: 674264 (C4 (Web Text))

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Text #8

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Data Index: 80623 (C4 (Web Text))

Max Activating Token Index: 138

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Text #9

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Data Index: 1307942 (C4 (Web Text))

Max Activating Token Index: 633

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Text #10

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Data Index: 1247076 (C4 (Web Text))

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Text #11

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Text #12

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Max Activating Token Index: 465

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Text #13

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Max Activating Token Index: 26

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 344562 (C4 (Web Text))

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Text #18

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Data Index: 15645 (C4 (Web Text))

Max Activating Token Index: 758

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Text #19

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Data Index: 1073489 (C4 (Web Text))

Max Activating Token Index: 263

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