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

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

Neuron 686 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 2.3181. Min Range: -2.3181

Max Act: 2.3181. Min Act: -0.0001

Data Index: 565288 (C4 (Web Text))

Max Activating Token Index: 363

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Text #1

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Max Act: 2.2630. Min Act: -0.0001

Data Index: 907203 (C4 (Web Text))

Max Activating Token Index: 423

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Text #2

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Max Act: 1.9858. Min Act: -0.0001

Data Index: 1317908 (C4 (Web Text))

Max Activating Token Index: 393

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Text #3

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Max Act: 1.9682. Min Act: -0.0001

Data Index: 490974 (C4 (Web Text))

Max Activating Token Index: 714

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Text #4

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Data Index: 364691 (C4 (Web Text))

Max Activating Token Index: 16

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Text #5

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Data Index: 823107 (C4 (Web Text))

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Text #6

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Data Index: 1258682 (C4 (Web Text))

Max Activating Token Index: 907

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Text #7

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Data Index: 1082207 (C4 (Web Text))

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Text #8

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Data Index: 1055561 (C4 (Web Text))

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Text #9

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Data Index: 710497 (C4 (Web Text))

Max Activating Token Index: 13

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Text #10

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Data Index: 1149780 (C4 (Web Text))

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Text #11

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Data Index: 34656 (C4 (Web Text))

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Text #12

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Data Index: 276703 (C4 (Web Text))

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Text #13

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Data Index: 1167578 (C4 (Web Text))

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Text #14

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Data Index: 643317 (C4 (Web Text))

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Text #15

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Data Index: 1466354 (Python Code)

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Text #16

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Data Index: 1469410 (Python Code)

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Text #17

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Data Index: 469220 (C4 (Web Text))

Max Activating Token Index: 18

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Text #18

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Data Index: 1636825 (Python Code)

Max Activating Token Index: 536

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Text #19

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Data Index: 1073341 (C4 (Web Text))

Max Activating Token Index: 47

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