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

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

Neuron 2284 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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Data Index: 885942 (C4 (Web Text))

Max Activating Token Index: 104

Text #1

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Max Activating Token Index: 749

Text #2

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Max Act: 0.9519. Min Act: -0.0000

Data Index: 1575109 (Python Code)

Max Activating Token Index: 550

Text #3

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Max Act: 1.0348. Min Act: -0.0000

Data Index: 500583 (C4 (Web Text))

Max Activating Token Index: 410

Text #4

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Data Index: 572082 (C4 (Web Text))

Max Activating Token Index: 693

Text #5

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Data Index: 532040 (C4 (Web Text))

Max Activating Token Index: 915

Text #6

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Max Activating Token Index: 640

Text #7

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Data Index: 49742 (C4 (Web Text))

Max Activating Token Index: 908

Text #8

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Max Activating Token Index: 335

Text #9

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Max Activating Token Index: 956

Text #10

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Data Index: 305376 (C4 (Web Text))

Max Activating Token Index: 810

Text #11

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Data Index: 37835 (C4 (Web Text))

Max Activating Token Index: 899

Text #12

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Data Index: 184943 (C4 (Web Text))

Max Activating Token Index: 734

Text #13

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Data Index: 343488 (C4 (Web Text))

Max Activating Token Index: 173

Text #14

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Data Index: 510189 (C4 (Web Text))

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Text #15

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Text #16

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Data Index: 1519484 (Python Code)

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Text #17

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Data Index: 986962 (C4 (Web Text))

Max Activating Token Index: 879

Text #18

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Data Index: 714633 (C4 (Web Text))

Max Activating Token Index: 100

Text #19

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Max Act: 0.9522. Min Act: -0.0001

Data Index: 637840 (C4 (Web Text))

Max Activating Token Index: 652