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

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

Neuron 3016 in Layer 7

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: 1.6973. Min Act: -0.0000

Data Index: 339227 (C4 (Web Text))

Max Activating Token Index: 624

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Text #1

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Max Act: 1.5503. Min Act: -0.0000

Data Index: 192873 (C4 (Web Text))

Max Activating Token Index: 424

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Text #2

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Max Act: 1.4398. Min Act: -0.0000

Data Index: 600801 (C4 (Web Text))

Max Activating Token Index: 89

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Text #3

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Max Act: 1.4870. Min Act: -0.0000

Data Index: 237673 (C4 (Web Text))

Max Activating Token Index: 628

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Text #4

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Max Act: 1.4591. Min Act: -0.0000

Data Index: 1290701 (C4 (Web Text))

Max Activating Token Index: 487

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Text #5

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Data Index: 176979 (C4 (Web Text))

Max Activating Token Index: 809

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Text #6

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Data Index: 926280 (C4 (Web Text))

Max Activating Token Index: 517

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Text #7

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Data Index: 422388 (C4 (Web Text))

Max Activating Token Index: 641

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Truncated

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Text #8

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Data Index: 282825 (C4 (Web Text))

Max Activating Token Index: 927

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Text #9

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Data Index: 180098 (C4 (Web Text))

Max Activating Token Index: 810

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Text #10

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Data Index: 1447136 (Python Code)

Max Activating Token Index: 907

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Text #11

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Data Index: 1519569 (Python Code)

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Text #12

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Data Index: 155320 (C4 (Web Text))

Max Activating Token Index: 812

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Text #13

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Data Index: 524210 (C4 (Web Text))

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Text #14

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Data Index: 652979 (C4 (Web Text))

Max Activating Token Index: 249

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Text #15

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Data Index: 68667 (C4 (Web Text))

Max Activating Token Index: 124

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Text #16

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Data Index: 28133 (C4 (Web Text))

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Text #17

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Max Act: 1.2044. Min Act: -0.0000

Data Index: 1620880 (Python Code)

Max Activating Token Index: 508

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Text #18

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Max Act: 1.3491. Min Act: -0.0000

Data Index: 708381 (C4 (Web Text))

Max Activating Token Index: 540

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Text #19

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Data Index: 1328924 (C4 (Web Text))

Max Activating Token Index: 393

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