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

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

Neuron 3071 in Layer 5

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: 0.1106. Min Act: -0.0001

Data Index: 1294914 (C4 (Web Text))

Max Activating Token Index: 729

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Text #1

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Data Index: 1003870 (C4 (Web Text))

Max Activating Token Index: 747

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Text #2

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Data Index: 972268 (C4 (Web Text))

Max Activating Token Index: 543

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Text #3

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Max Activating Token Index: 680

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Text #4

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Max Activating Token Index: 561

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Text #5

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Data Index: 566994 (C4 (Web Text))

Max Activating Token Index: 851

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Text #6

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Max Activating Token Index: 18

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Text #7

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Max Activating Token Index: 823

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Text #8

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Max Activating Token Index: 876

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Text #9

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Data Index: 534037 (C4 (Web Text))

Max Activating Token Index: 381

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Text #10

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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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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 107

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Text #19

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Data Index: 1253926 (C4 (Web Text))

Max Activating Token Index: 361

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