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

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

Neuron 556 in Layer 5

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: 0.0460. Min Act: -0.0000

Data Index: 50141 (C4 (Web Text))

Max Activating Token Index: 762

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Text #1

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Max Act: 0.0468. Min Act: -0.0000

Data Index: 1282937 (C4 (Web Text))

Max Activating Token Index: 996

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Truncated

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Text #2

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Max Act: 0.0439. Min Act: -0.0000

Data Index: 642636 (C4 (Web Text))

Max Activating Token Index: 465

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Text #3

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Max Act: 0.0354. Min Act: -0.0000

Data Index: 1620680 (Python Code)

Max Activating Token Index: 1006

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Truncated

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Text #4

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Max Act: 0.0358. Min Act: -0.0000

Data Index: 676135 (C4 (Web Text))

Max Activating Token Index: 387

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Truncated

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Text #5

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Max Act: 0.0358. Min Act: -0.0000

Data Index: 1149150 (C4 (Web Text))

Max Activating Token Index: 828

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Truncated

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Text #6

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Data Index: 1080666 (C4 (Web Text))

Max Activating Token Index: 149

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Truncated

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Text #7

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Data Index: 1149969 (C4 (Web Text))

Max Activating Token Index: 672

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Truncated

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Text #8

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Max Act: 0.0322. Min Act: -0.0001

Data Index: 1146983 (C4 (Web Text))

Max Activating Token Index: 707

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Text #9

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Data Index: 158964 (C4 (Web Text))

Max Activating Token Index: 690

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Truncated

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Text #10

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Data Index: 1591700 (Python Code)

Max Activating Token Index: 846

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Truncated

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Text #11

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Data Index: 1088783 (C4 (Web Text))

Max Activating Token Index: 476

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Truncated

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Text #12

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Data Index: 90613 (C4 (Web Text))

Max Activating Token Index: 314

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Text #13

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Data Index: 678616 (C4 (Web Text))

Max Activating Token Index: 617

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Truncated

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Text #14

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Data Index: 1164467 (C4 (Web Text))

Max Activating Token Index: 676

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Text #15

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Data Index: 594318 (C4 (Web Text))

Max Activating Token Index: 394

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Text #16

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Data Index: 691118 (C4 (Web Text))

Max Activating Token Index: 496

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Truncated

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Text #17

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Max Act: 0.0318. Min Act: -0.0000

Data Index: 716551 (C4 (Web Text))

Max Activating Token Index: 845

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Text #18

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Max Act: 0.0327. Min Act: -0.0000

Data Index: 1394681 (Python Code)

Max Activating Token Index: 950

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Text #19

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Max Act: 0.0335. Min Act: -0.0000

Data Index: 623190 (C4 (Web Text))

Max Activating Token Index: 215

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