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

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

Neuron 4441 in Layer 7

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.8948. Min Act: -0.0000

Data Index: 1219 (C4 (Web Text))

Max Activating Token Index: 733

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Truncated

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Text #1

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6782. Min Act: -0.0000

Data Index: 6810 (C4 (Web Text))

Max Activating Token Index: 343

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Truncated

Full Text #1


Text #2

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6928. Min Act: -0.0000

Data Index: 1035225 (C4 (Web Text))

Max Activating Token Index: 851

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Truncated

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Text #3

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6877. Min Act: -0.0000

Data Index: 736236 (C4 (Web Text))

Max Activating Token Index: 56

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Truncated

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Text #4

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6348. Min Act: -0.0000

Data Index: 28013 (C4 (Web Text))

Max Activating Token Index: 953

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Truncated

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Text #5

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6536. Min Act: -0.0000

Data Index: 408199 (C4 (Web Text))

Max Activating Token Index: 460

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Truncated

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Text #6

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Max Act: 0.6929. Min Act: -0.0000

Data Index: 78397 (C4 (Web Text))

Max Activating Token Index: 339

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Truncated

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Text #7

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Max Act: 0.6820. Min Act: -0.0000

Data Index: 735855 (C4 (Web Text))

Max Activating Token Index: 368

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Truncated

Full Text #7


Text #8

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6723. Min Act: -0.0000

Data Index: 145930 (C4 (Web Text))

Max Activating Token Index: 951

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Truncated

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Text #9

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6318. Min Act: -0.0000

Data Index: 1305958 (C4 (Web Text))

Max Activating Token Index: 280

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Truncated

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Text #10

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Max Act: 0.6358. Min Act: -0.0000

Data Index: 1244108 (C4 (Web Text))

Max Activating Token Index: 220

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Truncated

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Text #11

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Max Act: 0.6115. Min Act: -0.0000

Data Index: 971008 (C4 (Web Text))

Max Activating Token Index: 851

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Truncated

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Text #12

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Max Act: 0.6132. Min Act: -0.0000

Data Index: 1605360 (Python Code)

Max Activating Token Index: 520

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Truncated

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Text #13

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Max Act: 0.6486. Min Act: -0.0000

Data Index: 618673 (C4 (Web Text))

Max Activating Token Index: 465

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Truncated

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Text #14

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6278. Min Act: -0.0000

Data Index: 1436528 (Python Code)

Max Activating Token Index: 496

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Truncated

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Text #15

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Max Act: 0.6302. Min Act: -0.0000

Data Index: 24556 (C4 (Web Text))

Max Activating Token Index: 239

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Truncated

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Text #16

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.5773. Min Act: -0.0000

Data Index: 479591 (C4 (Web Text))

Max Activating Token Index: 184

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Truncated

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Text #17

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.6098. Min Act: -0.0000

Data Index: 79633 (C4 (Web Text))

Max Activating Token Index: 747

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Truncated

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Text #18

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.5529. Min Act: -0.0000

Data Index: 741789 (C4 (Web Text))

Max Activating Token Index: 782

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Truncated

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Text #19

Max Range: 0.8948. Min Range: -0.8948

Max Act: 0.5687. Min Act: -0.0000

Data Index: 1076094 (C4 (Web Text))

Max Activating Token Index: 808

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