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

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

Neuron 107 in Layer 7

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 0.0930. Min Range: -0.0930

Max Act: 0.0895. Min Act: -0.0000

Data Index: 215290 (C4 (Web Text))

Max Activating Token Index: 778

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Truncated

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Text #1

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Max Act: 0.0859. Min Act: -0.0000

Data Index: 483600 (C4 (Web Text))

Max Activating Token Index: 812

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Truncated

Full Text #1


Text #2

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Max Act: 0.0912. Min Act: -0.0001

Data Index: 745289 (C4 (Web Text))

Max Activating Token Index: 280

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Truncated

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Text #3

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Max Act: 0.0891. Min Act: -0.0000

Data Index: 194721 (C4 (Web Text))

Max Activating Token Index: 364

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Truncated

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Text #4

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Max Act: 0.0892. Min Act: -0.0001

Data Index: 819840 (C4 (Web Text))

Max Activating Token Index: 550

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Truncated

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Text #5

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Max Act: 0.0916. Min Act: -0.0001

Data Index: 1123682 (C4 (Web Text))

Max Activating Token Index: 476

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Truncated

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Text #6

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Max Act: 0.0930. Min Act: -0.0001

Data Index: 679576 (C4 (Web Text))

Max Activating Token Index: 429

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Truncated

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Text #7

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Max Act: 0.0825. Min Act: -0.0001

Data Index: 456793 (C4 (Web Text))

Max Activating Token Index: 766

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Truncated

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Text #8

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Max Act: 0.0864. Min Act: -0.0001

Data Index: 387567 (C4 (Web Text))

Max Activating Token Index: 691

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Truncated

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Text #9

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Max Act: 0.0820. Min Act: -0.0001

Data Index: 201124 (C4 (Web Text))

Max Activating Token Index: 488

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Truncated

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Text #10

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Data Index: 1238207 (C4 (Web Text))

Max Activating Token Index: 199

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Truncated

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Text #11

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Max Act: 0.0845. Min Act: -0.0001

Data Index: 391291 (C4 (Web Text))

Max Activating Token Index: 885

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Truncated

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Text #12

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Data Index: 1420422 (Python Code)

Max Activating Token Index: 515

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Text #13

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Max Act: 0.0871. Min Act: -0.0001

Data Index: 214218 (C4 (Web Text))

Max Activating Token Index: 519

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Truncated

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Text #14

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Max Act: 0.0788. Min Act: -0.0000

Data Index: 852654 (C4 (Web Text))

Max Activating Token Index: 428

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Truncated

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Text #15

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Max Act: 0.0820. Min Act: -0.0000

Data Index: 465627 (C4 (Web Text))

Max Activating Token Index: 849

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Truncated

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Text #16

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Max Act: 0.0783. Min Act: -0.0000

Data Index: 357066 (C4 (Web Text))

Max Activating Token Index: 349

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Truncated

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Text #17

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Max Act: 0.0830. Min Act: -0.0001

Data Index: 1650341 (Python Code)

Max Activating Token Index: 495

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Text #18

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Max Act: 0.0822. Min Act: -0.0000

Data Index: 1349175 (C4 (Web Text))

Max Activating Token Index: 213

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Truncated

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Text #19

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Max Act: 0.0740. Min Act: -0.0000

Data Index: 223677 (C4 (Web Text))

Max Activating Token Index: 942

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Truncated

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