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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 23 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0923. Min Act: -0.0005

Data Index: 553893 (C4 (Web Text))

Max Activating Token Index: 973

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Truncated

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Text #1

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Max Act: 0.0880. Min Act: -0.0005

Data Index: 821272 (C4 (Web Text))

Max Activating Token Index: 556

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Truncated

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Text #2

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Max Act: 0.0845. Min Act: -0.0005

Data Index: 204657 (C4 (Web Text))

Max Activating Token Index: 439

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Truncated

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Text #3

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Max Act: 0.0850. Min Act: -0.0005

Data Index: 683399 (C4 (Web Text))

Max Activating Token Index: 440

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Truncated

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Text #4

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Data Index: 16696 (C4 (Web Text))

Max Activating Token Index: 436

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Truncated

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Text #5

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Max Act: 0.0791. Min Act: -0.0005

Data Index: 90531 (C4 (Web Text))

Max Activating Token Index: 631

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Text #6

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Data Index: 1320474 (C4 (Web Text))

Max Activating Token Index: 90

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Truncated

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Text #7

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Data Index: 1058398 (C4 (Web Text))

Max Activating Token Index: 131

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Truncated

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Text #8

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Data Index: 557848 (C4 (Web Text))

Max Activating Token Index: 532

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Truncated

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Text #9

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Data Index: 284297 (C4 (Web Text))

Max Activating Token Index: 1001

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Truncated

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Text #10

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Data Index: 260575 (C4 (Web Text))

Max Activating Token Index: 717

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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: 1306460 (C4 (Web Text))

Max Activating Token Index: 887

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Text #13

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Data Index: 1227193 (C4 (Web Text))

Max Activating Token Index: 760

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Truncated

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Text #14

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Data Index: 6618 (C4 (Web Text))

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Text #15

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Data Index: 216842 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 749577 (C4 (Web Text))

Max Activating Token Index: 87

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Text #18

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Max Act: 0.0705. Min Act: -0.0005

Data Index: 1314291 (C4 (Web Text))

Max Activating Token Index: 825

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Truncated

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Text #19

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Max Act: 0.0718. Min Act: -0.0005

Data Index: 440144 (C4 (Web Text))

Max Activating Token Index: 672

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