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

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

Neuron 6127 in Layer 6

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: 2.6690. Min Act: -0.0000

Data Index: 978721 (C4 (Web Text))

Max Activating Token Index: 124

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Text #1

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Data Index: 888671 (C4 (Web Text))

Max Activating Token Index: 445

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Text #2

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Max Act: 2.4711. Min Act: -0.0000

Data Index: 395882 (C4 (Web Text))

Max Activating Token Index: 432

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Text #3

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Max Act: 2.3227. Min Act: -0.0000

Data Index: 808484 (C4 (Web Text))

Max Activating Token Index: 536

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Text #4

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Max Act: 2.0608. Min Act: -0.0000

Data Index: 335375 (C4 (Web Text))

Max Activating Token Index: 154

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Text #5

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Data Index: 1345762 (C4 (Web Text))

Max Activating Token Index: 756

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Text #6

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Data Index: 468762 (C4 (Web Text))

Max Activating Token Index: 393

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Text #7

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Max Activating Token Index: 469

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Text #8

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Data Index: 72449 (C4 (Web Text))

Max Activating Token Index: 39

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Text #9

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Data Index: 1044241 (C4 (Web Text))

Max Activating Token Index: 568

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Text #10

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Data Index: 1090851 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1066740 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 84222 (C4 (Web Text))

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Text #15

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Data Index: 541850 (C4 (Web Text))

Max Activating Token Index: 519

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Text #16

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Text #17

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Max Act: 1.8962. Min Act: -0.0000

Data Index: 427094 (C4 (Web Text))

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Text #18

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Data Index: 993246 (C4 (Web Text))

Max Activating Token Index: 999

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Text #19

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Data Index: 997498 (C4 (Web Text))

Max Activating Token Index: 87

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