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

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

Neuron 1689 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: 1.5490. Min Act: -0.0000

Data Index: 768577 (C4 (Web Text))

Max Activating Token Index: 1001

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Text #1

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Data Index: 1359183 (C4 (Web Text))

Max Activating Token Index: 976

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Text #2

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Max Act: 1.2164. Min Act: -0.0000

Data Index: 1595396 (Python Code)

Max Activating Token Index: 774

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Text #3

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Data Index: 426036 (C4 (Web Text))

Max Activating Token Index: 979

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Text #4

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Data Index: 779596 (C4 (Web Text))

Max Activating Token Index: 886

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Text #5

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Data Index: 1166287 (C4 (Web Text))

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Text #6

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Data Index: 884317 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 19021 (C4 (Web Text))

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Text #9

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Data Index: 847235 (C4 (Web Text))

Max Activating Token Index: 795

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Text #10

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Data Index: 1220725 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 95749 (C4 (Web Text))

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Text #14

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Data Index: 1404819 (Python Code)

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Text #15

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Data Index: 482208 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 337885 (C4 (Web Text))

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Text #18

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Data Index: 689713 (C4 (Web Text))

Max Activating Token Index: 407

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Text #19

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Data Index: 1273476 (C4 (Web Text))

Max Activating Token Index: 767

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