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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 908 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

Max Range: 0.6041. Min Range: -0.6041

Max Act: 0.6041. Min Act: -0.0002

Data Index: 1034041 (C4 (Web Text))

Max Activating Token Index: 551

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Text #1

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Max Act: 0.1165. Min Act: -0.0001

Data Index: 306890 (C4 (Web Text))

Max Activating Token Index: 504

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Text #2

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Max Act: 0.4105. Min Act: -0.0002

Data Index: 855079 (C4 (Web Text))

Max Activating Token Index: 478

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Text #3

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Max Act: 0.0100. Min Act: -0.0001

Data Index: 882374 (C4 (Web Text))

Max Activating Token Index: 646

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Text #4

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Max Act: 0.0722. Min Act: -0.0001

Data Index: 981659 (C4 (Web Text))

Max Activating Token Index: 239

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Text #5

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Max Act: 0.0577. Min Act: -0.0002

Data Index: 1482162 (Python Code)

Max Activating Token Index: 394

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Text #6

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Data Index: 1609224 (Python Code)

Max Activating Token Index: 169

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Text #7

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Data Index: 1428741 (Python Code)

Max Activating Token Index: 196

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Text #8

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Data Index: 1456288 (Python Code)

Max Activating Token Index: 61

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Text #9

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Max Act: 0.0560. Min Act: -0.0002

Data Index: 1562329 (Python Code)

Max Activating Token Index: 264

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Text #10

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Data Index: 1563593 (Python Code)

Max Activating Token Index: 712

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Text #11

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Data Index: 1655404 (Python Code)

Max Activating Token Index: 17

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Text #12

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Data Index: 1536359 (Python Code)

Max Activating Token Index: 471

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Text #13

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Data Index: 1412094 (Python Code)

Max Activating Token Index: 136

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Text #14

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Data Index: 1475224 (Python Code)

Max Activating Token Index: 394

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Text #15

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Data Index: 1608691 (Python Code)

Max Activating Token Index: 521

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Text #16

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Max Act: 0.0414. Min Act: -0.0001

Data Index: 1568800 (Python Code)

Max Activating Token Index: 542

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Text #17

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Max Act: 0.0379. Min Act: -0.0002

Data Index: 1604982 (Python Code)

Max Activating Token Index: 254

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Text #18

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 1526665 (Python Code)

Max Activating Token Index: 68

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Text #19

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Max Act: 0.0368. Min Act: -0.0002

Data Index: 1539106 (Python Code)

Max Activating Token Index: 200

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