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

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

Neuron 1543 in Layer 3

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: 0.0907. Min Act: -0.0001

Data Index: 1232364 (C4 (Web Text))

Max Activating Token Index: 168

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Text #1

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Data Index: 65322 (C4 (Web Text))

Max Activating Token Index: 621

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Truncated

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Text #2

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Max Act: 0.0835. Min Act: -0.0001

Data Index: 1343597 (C4 (Web Text))

Max Activating Token Index: 304

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Text #3

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Max Act: 0.0891. Min Act: -0.0001

Data Index: 855722 (C4 (Web Text))

Max Activating Token Index: 245

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Truncated

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Text #4

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Data Index: 220702 (C4 (Web Text))

Max Activating Token Index: 166

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Truncated

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Text #5

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Max Act: 0.0751. Min Act: -0.0001

Data Index: 666099 (C4 (Web Text))

Max Activating Token Index: 883

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Text #6

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Data Index: 970242 (C4 (Web Text))

Max Activating Token Index: 867

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Truncated

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Text #7

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Data Index: 427888 (C4 (Web Text))

Max Activating Token Index: 394

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Truncated

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Text #8

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Data Index: 995866 (C4 (Web Text))

Max Activating Token Index: 733

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Text #9

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Data Index: 822551 (C4 (Web Text))

Max Activating Token Index: 533

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Truncated

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Text #10

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Data Index: 87429 (C4 (Web Text))

Max Activating Token Index: 687

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 385587 (C4 (Web Text))

Max Activating Token Index: 691

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Text #13

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Data Index: 335167 (C4 (Web Text))

Max Activating Token Index: 68

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Truncated

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Text #14

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Data Index: 805765 (C4 (Web Text))

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Text #15

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Data Index: 1384808 (Python Code)

Max Activating Token Index: 774

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Text #16

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Data Index: 1185112 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 1368976 (Python Code)

Max Activating Token Index: 798

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Text #18

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Max Act: 0.0560. Min Act: -0.0001

Data Index: 760732 (C4 (Web Text))

Max Activating Token Index: 413

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Truncated

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Text #19

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Max Act: 0.0546. Min Act: -0.0001

Data Index: 44388 (C4 (Web Text))

Max Activating Token Index: 381

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