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

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

Neuron 2711 in Layer 5

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 1.8758. Min Act: -0.0000

Data Index: 1184384 (C4 (Web Text))

Max Activating Token Index: 556

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Text #1

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Max Act: 1.6656. Min Act: -0.0000

Data Index: 601487 (C4 (Web Text))

Max Activating Token Index: 810

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Text #2

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Max Act: 1.5257. Min Act: -0.0000

Data Index: 555432 (C4 (Web Text))

Max Activating Token Index: 814

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Text #3

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Max Act: 1.5389. Min Act: -0.0000

Data Index: 568622 (C4 (Web Text))

Max Activating Token Index: 668

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Truncated

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Text #4

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Max Act: 1.3644. Min Act: -0.0001

Data Index: 827742 (C4 (Web Text))

Max Activating Token Index: 800

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Truncated

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Text #5

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Max Act: 1.3304. Min Act: -0.0000

Data Index: 363179 (C4 (Web Text))

Max Activating Token Index: 958

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Text #6

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Data Index: 576887 (C4 (Web Text))

Max Activating Token Index: 492

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Truncated

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Text #7

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Data Index: 511711 (C4 (Web Text))

Max Activating Token Index: 927

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Truncated

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Text #8

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Data Index: 838556 (C4 (Web Text))

Max Activating Token Index: 506

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Text #9

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Data Index: 1152342 (C4 (Web Text))

Max Activating Token Index: 54

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Text #10

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Data Index: 1586430 (Python Code)

Max Activating Token Index: 787

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Text #11

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Data Index: 1221096 (C4 (Web Text))

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Text #12

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Data Index: 266536 (C4 (Web Text))

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Text #13

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Data Index: 1208893 (C4 (Web Text))

Max Activating Token Index: 812

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Text #14

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Data Index: 1364566 (Python Code)

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Text #15

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Max Act: 1.1230. Min Act: -0.0001

Data Index: 975626 (C4 (Web Text))

Max Activating Token Index: 703

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Text #16

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Data Index: 775760 (C4 (Web Text))

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Text #17

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Max Act: 1.1247. Min Act: -0.0001

Data Index: 1581537 (Python Code)

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Text #18

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Max Act: 1.0945. Min Act: -0.0000

Data Index: 170410 (C4 (Web Text))

Max Activating Token Index: 56

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Text #19

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Data Index: 604506 (C4 (Web Text))

Max Activating Token Index: 566

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