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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2875 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0758. Min Act: -0.0002

Data Index: 544514 (C4 (Web Text))

Max Activating Token Index: 662

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Text #1

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Data Index: 332445 (C4 (Web Text))

Max Activating Token Index: 627

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Text #2

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Data Index: 180802 (C4 (Web Text))

Max Activating Token Index: 380

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Text #3

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Data Index: 1495918 (Python Code)

Max Activating Token Index: 219

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Text #4

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Data Index: 1147709 (C4 (Web Text))

Max Activating Token Index: 149

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Text #5

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Data Index: 1065079 (C4 (Web Text))

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Text #6

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Data Index: 512690 (C4 (Web Text))

Max Activating Token Index: 923

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Text #7

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Data Index: 981387 (C4 (Web Text))

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Text #8

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Data Index: 1224497 (C4 (Web Text))

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Text #9

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Data Index: 790647 (C4 (Web Text))

Max Activating Token Index: 553

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Text #10

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Data Index: 795553 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 941521 (C4 (Web Text))

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Text #13

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Data Index: 1206934 (C4 (Web Text))

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Text #14

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Data Index: 66269 (C4 (Web Text))

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Text #15

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Data Index: 815568 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 478830 (C4 (Web Text))

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Text #18

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Data Index: 409580 (C4 (Web Text))

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Text #19

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Data Index: 1403062 (Python Code)

Max Activating Token Index: 289

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