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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 18 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0413. Min Act: -0.0002

Data Index: 1245516 (C4 (Web Text))

Max Activating Token Index: 906

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Text #1

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Data Index: 448162 (C4 (Web Text))

Max Activating Token Index: 611

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Text #2

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Max Act: 0.0396. Min Act: -0.0002

Data Index: 1081472 (C4 (Web Text))

Max Activating Token Index: 112

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Text #3

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 736013 (C4 (Web Text))

Max Activating Token Index: 793

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Text #4

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 1213717 (C4 (Web Text))

Max Activating Token Index: 694

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Text #5

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Max Act: 0.0381. Min Act: -0.0002

Data Index: 1021888 (C4 (Web Text))

Max Activating Token Index: 439

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Text #6

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Data Index: 1122399 (C4 (Web Text))

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Text #7

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Data Index: 1215838 (C4 (Web Text))

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Text #8

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Data Index: 1102568 (C4 (Web Text))

Max Activating Token Index: 360

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Text #9

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Data Index: 755727 (C4 (Web Text))

Max Activating Token Index: 236

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Text #10

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Data Index: 125638 (C4 (Web Text))

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Text #11

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Data Index: 553271 (C4 (Web Text))

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Text #12

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Data Index: 1119629 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 590651 (C4 (Web Text))

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Text #15

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Data Index: 29967 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1050721 (C4 (Web Text))

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Text #18

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Data Index: 1187916 (C4 (Web Text))

Max Activating Token Index: 529

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Text #19

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Data Index: 185350 (C4 (Web Text))

Max Activating Token Index: 602

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