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

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

Neuron 3137 in Layer 3

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: 0.0400. Min Act: -0.0001

Data Index: 1269232 (C4 (Web Text))

Max Activating Token Index: 722

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Text #1

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Max Act: 0.0340. Min Act: -0.0001

Data Index: 348640 (C4 (Web Text))

Max Activating Token Index: 993

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Text #2

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Max Act: 0.0350. Min Act: -0.0001

Data Index: 1387945 (Python Code)

Max Activating Token Index: 818

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Text #3

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Max Act: 0.0324. Min Act: -0.0001

Data Index: 1546368 (Python Code)

Max Activating Token Index: 92

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Text #4

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Max Act: 0.0325. Min Act: -0.0001

Data Index: 278933 (C4 (Web Text))

Max Activating Token Index: 879

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Text #5

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Data Index: 523839 (C4 (Web Text))

Max Activating Token Index: 583

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Text #6

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Data Index: 67511 (C4 (Web Text))

Max Activating Token Index: 259

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Text #7

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Data Index: 1166572 (C4 (Web Text))

Max Activating Token Index: 253

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Text #8

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Max Act: 0.0334. Min Act: -0.0001

Data Index: 1238444 (C4 (Web Text))

Max Activating Token Index: 778

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Text #9

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Data Index: 690765 (C4 (Web Text))

Max Activating Token Index: 809

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Text #10

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Data Index: 539532 (C4 (Web Text))

Max Activating Token Index: 464

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Text #11

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Data Index: 164866 (C4 (Web Text))

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Text #12

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Data Index: 255144 (C4 (Web Text))

Max Activating Token Index: 385

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Text #13

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Data Index: 529099 (C4 (Web Text))

Max Activating Token Index: 825

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Text #14

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Data Index: 195439 (C4 (Web Text))

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Text #15

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Data Index: 320965 (C4 (Web Text))

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Text #16

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Data Index: 70384 (C4 (Web Text))

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Text #17

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Data Index: 534176 (C4 (Web Text))

Max Activating Token Index: 530

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Text #18

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Max Act: 0.0288. Min Act: -0.0001

Data Index: 1048491 (C4 (Web Text))

Max Activating Token Index: 870

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Text #19

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Data Index: 1524770 (Python Code)

Max Activating Token Index: 468

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