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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1060 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0304. Min Act: -0.0003

Data Index: 592114 (C4 (Web Text))

Max Activating Token Index: 876

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Truncated

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Text #1

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Max Act: 0.0305. Min Act: -0.0003

Data Index: 1109449 (C4 (Web Text))

Max Activating Token Index: 183

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Truncated

Full Text #1


Text #2

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0295. Min Act: -0.0003

Data Index: 604202 (C4 (Web Text))

Max Activating Token Index: 669

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Truncated

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Text #3

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0287. Min Act: -0.0003

Data Index: 701743 (C4 (Web Text))

Max Activating Token Index: 87

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Truncated

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Text #4

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0267. Min Act: -0.0003

Data Index: 89692 (C4 (Web Text))

Max Activating Token Index: 877

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Truncated

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Text #5

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0267. Min Act: -0.0003

Data Index: 1204632 (C4 (Web Text))

Max Activating Token Index: 635

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Truncated

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Text #6

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Max Act: 0.0263. Min Act: -0.0003

Data Index: 555744 (C4 (Web Text))

Max Activating Token Index: 98

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Truncated

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Text #7

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Max Act: 0.0262. Min Act: -0.0003

Data Index: 721848 (C4 (Web Text))

Max Activating Token Index: 437

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Truncated

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Text #8

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Max Act: 0.0268. Min Act: -0.0003

Data Index: 424148 (C4 (Web Text))

Max Activating Token Index: 147

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Truncated

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Text #9

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 369125 (C4 (Web Text))

Max Activating Token Index: 341

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Truncated

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Text #10

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 1633584 (Python Code)

Max Activating Token Index: 743

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Truncated

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Text #11

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Max Act: 0.0255. Min Act: -0.0003

Data Index: 35608 (C4 (Web Text))

Max Activating Token Index: 342

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Truncated

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Text #12

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Data Index: 1589875 (Python Code)

Max Activating Token Index: 983

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Truncated

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Text #13

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 500630 (C4 (Web Text))

Max Activating Token Index: 11

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Truncated

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Text #14

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 111032 (C4 (Web Text))

Max Activating Token Index: 664

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Truncated

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Text #15

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Max Act: 0.0247. Min Act: -0.0004

Data Index: 57488 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #16

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0256. Min Act: -0.0003

Data Index: 1588742 (Python Code)

Max Activating Token Index: 558

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Truncated

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Text #17

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0255. Min Act: -0.0003

Data Index: 1047159 (C4 (Web Text))

Max Activating Token Index: 553

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Truncated

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Text #18

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0254. Min Act: -0.0003

Data Index: 588695 (C4 (Web Text))

Max Activating Token Index: 455

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Truncated

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Text #19

Max Range: 0.0305. Min Range: -0.0305

Max Act: 0.0246. Min Act: -0.0002

Data Index: 337861 (C4 (Web Text))

Max Activating Token Index: 934

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Truncated

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