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

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

Neuron 1124 in Layer 4

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0414. Min Act: -0.0000

Data Index: 1446396 (Python Code)

Max Activating Token Index: 131

Text #1

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Max Act: 0.0398. Min Act: -0.0000

Data Index: 1505857 (Python Code)

Max Activating Token Index: 217

Text #2

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Max Act: 0.0428. Min Act: -0.0000

Data Index: 1529412 (Python Code)

Max Activating Token Index: 246

Text #3

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Max Act: 0.0377. Min Act: -0.0000

Data Index: 1444576 (Python Code)

Max Activating Token Index: 109

Text #4

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Max Act: 0.0350. Min Act: -0.0000

Data Index: 718337 (C4 (Web Text))

Max Activating Token Index: 712

Text #5

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Max Act: 0.0373. Min Act: -0.0000

Data Index: 1620218 (Python Code)

Max Activating Token Index: 49

Text #6

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Data Index: 239959 (C4 (Web Text))

Max Activating Token Index: 856

Text #7

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Max Act: 0.0381. Min Act: -0.0001

Data Index: 117068 (C4 (Web Text))

Max Activating Token Index: 98

Text #8

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Data Index: 1639451 (Python Code)

Max Activating Token Index: 215

Text #9

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Data Index: 1654571 (Python Code)

Max Activating Token Index: 576

Text #10

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Data Index: 1482764 (Python Code)

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Text #11

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Data Index: 1467915 (Python Code)

Max Activating Token Index: 248

Text #12

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Data Index: 671423 (C4 (Web Text))

Max Activating Token Index: 480

Text #13

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Data Index: 1388865 (Python Code)

Max Activating Token Index: 334

Text #14

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Data Index: 1577169 (Python Code)

Max Activating Token Index: 216

Text #15

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Data Index: 1590082 (Python Code)

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Text #16

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Data Index: 1431997 (Python Code)

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Text #17

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Data Index: 1394466 (Python Code)

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Text #18

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Data Index: 1604901 (Python Code)

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Text #19

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Data Index: 418093 (C4 (Web Text))

Max Activating Token Index: 1001