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

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

Neuron 1262 in Layer 3

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: 0.0845. Min Act: -0.0001

Data Index: 388877 (C4 (Web Text))

Max Activating Token Index: 222

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Text #1

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Data Index: 1085388 (C4 (Web Text))

Max Activating Token Index: 108

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Text #2

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Max Act: 0.0776. Min Act: -0.0001

Data Index: 1276790 (C4 (Web Text))

Max Activating Token Index: 170

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Text #3

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Max Act: 0.0735. Min Act: -0.0001

Data Index: 59535 (C4 (Web Text))

Max Activating Token Index: 635

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Truncated

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Text #4

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Data Index: 473023 (C4 (Web Text))

Max Activating Token Index: 286

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Text #5

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Data Index: 1420931 (Python Code)

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Text #6

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Data Index: 601297 (C4 (Web Text))

Max Activating Token Index: 749

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Text #7

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Data Index: 910422 (C4 (Web Text))

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Text #8

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Data Index: 816349 (C4 (Web Text))

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Text #9

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Data Index: 337691 (C4 (Web Text))

Max Activating Token Index: 599

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Text #10

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Data Index: 615355 (C4 (Web Text))

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Text #11

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Data Index: 148221 (C4 (Web Text))

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Text #12

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Data Index: 860156 (C4 (Web Text))

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Text #13

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Data Index: 200380 (C4 (Web Text))

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Text #14

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Data Index: 430021 (C4 (Web Text))

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Text #15

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Data Index: 88674 (C4 (Web Text))

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Text #16

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Data Index: 1459848 (Python Code)

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Text #17

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Data Index: 959274 (C4 (Web Text))

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Text #18

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Data Index: 317716 (C4 (Web Text))

Max Activating Token Index: 24

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Text #19

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Data Index: 1405914 (Python Code)

Max Activating Token Index: 540

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