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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4079 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.6245. Min Act: -0.0001

Data Index: 318597 (C4 (Web Text))

Max Activating Token Index: 831

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Text #1

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Data Index: 1297280 (C4 (Web Text))

Max Activating Token Index: 262

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Text #2

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Data Index: 1299308 (C4 (Web Text))

Max Activating Token Index: 333

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Text #3

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Data Index: 520024 (C4 (Web Text))

Max Activating Token Index: 534

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Text #4

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Data Index: 627837 (C4 (Web Text))

Max Activating Token Index: 547

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Text #5

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Data Index: 628824 (C4 (Web Text))

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Text #6

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Data Index: 382191 (C4 (Web Text))

Max Activating Token Index: 994

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Text #7

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Data Index: 707275 (C4 (Web Text))

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Text #8

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Data Index: 1196408 (C4 (Web Text))

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Text #9

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Data Index: 952060 (C4 (Web Text))

Max Activating Token Index: 392

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Text #10

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Data Index: 1356455 (C4 (Web Text))

Max Activating Token Index: 835

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 35104 (C4 (Web Text))

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Text #18

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Data Index: 1077761 (C4 (Web Text))

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Text #19

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Data Index: 334094 (C4 (Web Text))

Max Activating Token Index: 664

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