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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 659 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 1.2731. Min Act: -0.0001

Data Index: 244927 (C4 (Web Text))

Max Activating Token Index: 727

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Text #1

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Data Index: 554023 (C4 (Web Text))

Max Activating Token Index: 526

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Text #2

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Max Act: 1.2235. Min Act: -0.0001

Data Index: 1163881 (C4 (Web Text))

Max Activating Token Index: 648

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Text #3

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Max Act: 1.1570. Min Act: -0.0001

Data Index: 1456211 (Python Code)

Max Activating Token Index: 297

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Truncated

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Text #4

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Data Index: 1437195 (Python Code)

Max Activating Token Index: 462

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Truncated

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Text #5

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Data Index: 616092 (C4 (Web Text))

Max Activating Token Index: 431

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Text #6

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Data Index: 1260758 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #7

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Data Index: 507965 (C4 (Web Text))

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Text #8

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Data Index: 52902 (C4 (Web Text))

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Text #9

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Data Index: 1326638 (C4 (Web Text))

Max Activating Token Index: 312

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Text #10

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Data Index: 791659 (C4 (Web Text))

Max Activating Token Index: 691

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Text #11

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Data Index: 23341 (C4 (Web Text))

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Text #12

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Data Index: 1192439 (C4 (Web Text))

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Text #13

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Data Index: 345255 (C4 (Web Text))

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Text #14

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Data Index: 485740 (C4 (Web Text))

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Text #15

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Data Index: 575864 (C4 (Web Text))

Max Activating Token Index: 275

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Text #16

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Data Index: 781699 (C4 (Web Text))

Max Activating Token Index: 831

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Text #17

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Data Index: 1609765 (Python Code)

Max Activating Token Index: 509

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Text #18

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Max Act: 1.0105. Min Act: -0.0001

Data Index: 797101 (C4 (Web Text))

Max Activating Token Index: 603

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Truncated

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Text #19

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Max Act: 1.0030. Min Act: -0.0001

Data Index: 116877 (C4 (Web Text))

Max Activating Token Index: 381

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