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

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

Neuron 683 in Layer 2

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: 1.0901. Min Act: -0.0002

Data Index: 538078 (C4 (Web Text))

Max Activating Token Index: 648

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Text #1

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Data Index: 1358511 (C4 (Web Text))

Max Activating Token Index: 332

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Text #2

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Max Act: 1.0406. Min Act: -0.0002

Data Index: 783391 (C4 (Web Text))

Max Activating Token Index: 795

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Text #3

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Data Index: 376642 (C4 (Web Text))

Max Activating Token Index: 63

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Text #4

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Data Index: 719779 (C4 (Web Text))

Max Activating Token Index: 7

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Text #5

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Data Index: 208460 (C4 (Web Text))

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Text #6

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Data Index: 297241 (C4 (Web Text))

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Text #7

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Data Index: 151792 (C4 (Web Text))

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Text #8

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Data Index: 386196 (C4 (Web Text))

Max Activating Token Index: 651

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Text #9

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Data Index: 591626 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #10

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Data Index: 408618 (C4 (Web Text))

Max Activating Token Index: 530

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Text #11

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Text #12

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Text #13

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Data Index: 328622 (C4 (Web Text))

Max Activating Token Index: 637

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Text #14

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Data Index: 709881 (C4 (Web Text))

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Text #15

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Data Index: 1206832 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 218

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Text #17

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Data Index: 442199 (C4 (Web Text))

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Text #18

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Data Index: 815857 (C4 (Web Text))

Max Activating Token Index: 440

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Text #19

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Data Index: 111167 (C4 (Web Text))

Max Activating Token Index: 108

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