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

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

Neuron 4041 in Layer 4

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: 0.0500. Min Act: -0.0001

Data Index: 944194 (C4 (Web Text))

Max Activating Token Index: 806

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Text #1

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Max Act: 0.0485. Min Act: -0.0001

Data Index: 102831 (C4 (Web Text))

Max Activating Token Index: 743

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Truncated

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Text #2

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Max Act: 0.0459. Min Act: -0.0001

Data Index: 547923 (C4 (Web Text))

Max Activating Token Index: 489

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Text #3

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Max Act: 0.0479. Min Act: -0.0001

Data Index: 1127850 (C4 (Web Text))

Max Activating Token Index: 638

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Truncated

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Text #4

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Max Act: 0.0495. Min Act: -0.0001

Data Index: 960140 (C4 (Web Text))

Max Activating Token Index: 276

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Truncated

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Text #5

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Max Act: 0.0463. Min Act: -0.0001

Data Index: 63758 (C4 (Web Text))

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Text #6

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Data Index: 561384 (C4 (Web Text))

Max Activating Token Index: 339

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Truncated

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Text #7

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Data Index: 167319 (C4 (Web Text))

Max Activating Token Index: 1000

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Truncated

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Text #8

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Max Act: 0.0407. Min Act: -0.0001

Data Index: 1164608 (C4 (Web Text))

Max Activating Token Index: 25

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Text #9

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Max Act: 0.0449. Min Act: -0.0001

Data Index: 1096516 (C4 (Web Text))

Max Activating Token Index: 200

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Truncated

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Text #10

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Data Index: 765159 (C4 (Web Text))

Max Activating Token Index: 214

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Truncated

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Text #11

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Data Index: 129730 (C4 (Web Text))

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Text #12

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Data Index: 56581 (C4 (Web Text))

Max Activating Token Index: 336

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Text #13

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Data Index: 407062 (C4 (Web Text))

Max Activating Token Index: 820

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Text #14

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Data Index: 590714 (C4 (Web Text))

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Text #15

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Data Index: 846229 (C4 (Web Text))

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Text #16

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Data Index: 1316265 (C4 (Web Text))

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Text #17

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Max Act: 0.0385. Min Act: -0.0001

Data Index: 201605 (C4 (Web Text))

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Text #18

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Max Act: 0.0382. Min Act: -0.0001

Data Index: 778785 (C4 (Web Text))

Max Activating Token Index: 27

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Text #19

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Data Index: 102472 (C4 (Web Text))

Max Activating Token Index: 1013

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