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

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

Neuron 3200 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.0459. Min Range: -0.0459

Max Act: 0.0458. Min Act: -0.0002

Data Index: 1545619 (Python Code)

Max Activating Token Index: 218

Text #1

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Max Act: 0.0445. Min Act: -0.0002

Data Index: 1655243 (Python Code)

Max Activating Token Index: 137

Text #2

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Max Act: 0.0459. Min Act: -0.0002

Data Index: 1498421 (Python Code)

Max Activating Token Index: 961

Text #3

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Max Act: 0.0453. Min Act: -0.0002

Data Index: 1382429 (Python Code)

Max Activating Token Index: 819

Text #4

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Max Act: 0.0436. Min Act: -0.0002

Data Index: 1436789 (Python Code)

Max Activating Token Index: 734

Text #5

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Max Act: 0.0422. Min Act: -0.0002

Data Index: 1396160 (Python Code)

Max Activating Token Index: 257

Text #6

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Data Index: 1474313 (Python Code)

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Text #7

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Data Index: 806981 (C4 (Web Text))

Max Activating Token Index: 975

Text #8

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Data Index: 1424236 (Python Code)

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Text #9

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Data Index: 1531394 (Python Code)

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Text #10

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Data Index: 1478134 (Python Code)

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Text #11

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Data Index: 1400289 (Python Code)

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Text #12

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Data Index: 1587273 (Python Code)

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Text #13

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Data Index: 1420349 (Python Code)

Max Activating Token Index: 339

Text #14

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Data Index: 1646662 (Python Code)

Max Activating Token Index: 233

Text #15

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Data Index: 1411863 (Python Code)

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Text #16

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Data Index: 114582 (C4 (Web Text))

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Text #17

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Data Index: 1394642 (Python Code)

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Text #18

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Data Index: 940992 (C4 (Web Text))

Max Activating Token Index: 288

Text #19

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Max Act: 0.0411. Min Act: -0.0002

Data Index: 1469081 (Python Code)

Max Activating Token Index: 621