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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1927 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 2.4670. Min Act: -0.0000

Data Index: 1400115 (Python Code)

Max Activating Token Index: 583

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Text #1

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Data Index: 440860 (C4 (Web Text))

Max Activating Token Index: 488

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Text #2

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Max Act: 1.9173. Min Act: -0.0001

Data Index: 647690 (C4 (Web Text))

Max Activating Token Index: 1015

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Text #3

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Data Index: 1034469 (C4 (Web Text))

Max Activating Token Index: 195

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Text #4

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Data Index: 1210999 (C4 (Web Text))

Max Activating Token Index: 770

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Text #5

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Data Index: 1321801 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 40798 (C4 (Web Text))

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Text #9

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Data Index: 257944 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Data Index: 380618 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 1098201 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 1127994 (C4 (Web Text))

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Text #19

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Data Index: 818388 (C4 (Web Text))

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