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

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

Neuron 1488 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 0.0596. Min Range: -0.0596

Max Act: 0.0596. Min Act: -0.0003

Data Index: 984199 (C4 (Web Text))

Max Activating Token Index: 24

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Truncated

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Text #1

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Max Act: 0.0548. Min Act: -0.0003

Data Index: 1206569 (C4 (Web Text))

Max Activating Token Index: 703

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Truncated

Full Text #1


Text #2

Max Range: 0.0596. Min Range: -0.0596

Max Act: 0.0539. Min Act: -0.0003

Data Index: 906048 (C4 (Web Text))

Max Activating Token Index: 276

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Truncated

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Text #3

Max Range: 0.0596. Min Range: -0.0596

Max Act: 0.0472. Min Act: -0.0003

Data Index: 1105205 (C4 (Web Text))

Max Activating Token Index: 386

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Truncated

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Text #4

Max Range: 0.0596. Min Range: -0.0596

Max Act: 0.0471. Min Act: -0.0003

Data Index: 133804 (C4 (Web Text))

Max Activating Token Index: 369

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Truncated

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Text #5

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Max Act: 0.0480. Min Act: -0.0003

Data Index: 656801 (C4 (Web Text))

Max Activating Token Index: 628

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Truncated

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Text #6

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Max Act: 0.0474. Min Act: -0.0003

Data Index: 1109419 (C4 (Web Text))

Max Activating Token Index: 742

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Truncated

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Text #7

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Max Act: 0.0470. Min Act: -0.0003

Data Index: 1200979 (C4 (Web Text))

Max Activating Token Index: 497

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Truncated

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Text #8

Max Range: 0.0596. Min Range: -0.0596

Max Act: 0.0445. Min Act: -0.0003

Data Index: 749937 (C4 (Web Text))

Max Activating Token Index: 54

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Truncated

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Text #9

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Max Act: 0.0436. Min Act: -0.0003

Data Index: 174442 (C4 (Web Text))

Max Activating Token Index: 685

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Truncated

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Text #10

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 529075 (C4 (Web Text))

Max Activating Token Index: 51

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Truncated

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Text #11

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Max Act: 0.0450. Min Act: -0.0003

Data Index: 1158039 (C4 (Web Text))

Max Activating Token Index: 675

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Truncated

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Text #12

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 381221 (C4 (Web Text))

Max Activating Token Index: 135

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Truncated

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Text #13

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Max Act: 0.0460. Min Act: -0.0002

Data Index: 1619737 (Python Code)

Max Activating Token Index: 891

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Truncated

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Text #14

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Max Act: 0.0432. Min Act: -0.0003

Data Index: 609999 (C4 (Web Text))

Max Activating Token Index: 112

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Truncated

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Text #15

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Max Act: 0.0447. Min Act: -0.0003

Data Index: 555374 (C4 (Web Text))

Max Activating Token Index: 194

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Truncated

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Text #16

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Max Act: 0.0438. Min Act: -0.0003

Data Index: 1611972 (Python Code)

Max Activating Token Index: 814

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Truncated

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Text #17

Max Range: 0.0596. Min Range: -0.0596

Max Act: 0.0451. Min Act: -0.0003

Data Index: 1373605 (Python Code)

Max Activating Token Index: 234

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Text #18

Max Range: 0.0596. Min Range: -0.0596

Max Act: 0.0441. Min Act: -0.0003

Data Index: 1348333 (C4 (Web Text))

Max Activating Token Index: 202

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Truncated

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Text #19

Max Range: 0.0596. Min Range: -0.0596

Max Act: 0.0435. Min Act: -0.0003

Data Index: 921226 (C4 (Web Text))

Max Activating Token Index: 415

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