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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2567 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.6930. Min Act: -0.0001

Data Index: 816786 (C4 (Web Text))

Max Activating Token Index: 448

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Text #1

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Data Index: 777769 (C4 (Web Text))

Max Activating Token Index: 877

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Text #2

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Max Act: 0.5434. Min Act: -0.0001

Data Index: 462730 (C4 (Web Text))

Max Activating Token Index: 289

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Text #3

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Max Act: 0.5050. Min Act: -0.0001

Data Index: 806357 (C4 (Web Text))

Max Activating Token Index: 626

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Text #4

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Data Index: 1273866 (C4 (Web Text))

Max Activating Token Index: 928

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Text #5

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Data Index: 1076281 (C4 (Web Text))

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Text #6

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Data Index: 1356620 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 990827 (C4 (Web Text))

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Text #9

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Data Index: 312006 (C4 (Web Text))

Max Activating Token Index: 240

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Text #10

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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: 768978 (C4 (Web Text))

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Text #18

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Data Index: 14774 (C4 (Web Text))

Max Activating Token Index: 994

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Text #19

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Data Index: 140845 (C4 (Web Text))

Max Activating Token Index: 908

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