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

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

Neuron 4040 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: 1.4984. Min Act: -0.0001

Data Index: 1045153 (C4 (Web Text))

Max Activating Token Index: 338

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Text #1

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Max Act: 1.3012. Min Act: -0.0001

Data Index: 597344 (C4 (Web Text))

Max Activating Token Index: 107

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Text #2

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Max Act: 1.4140. Min Act: -0.0001

Data Index: 451414 (C4 (Web Text))

Max Activating Token Index: 644

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Text #3

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Data Index: 683106 (C4 (Web Text))

Max Activating Token Index: 37

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Text #4

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Data Index: 689613 (C4 (Web Text))

Max Activating Token Index: 464

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Text #5

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Data Index: 1271178 (C4 (Web Text))

Max Activating Token Index: 516

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Text #6

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Data Index: 684309 (C4 (Web Text))

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Text #7

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Data Index: 1284525 (C4 (Web Text))

Max Activating Token Index: 887

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Text #8

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Data Index: 331192 (C4 (Web Text))

Max Activating Token Index: 352

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Text #9

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Data Index: 798802 (C4 (Web Text))

Max Activating Token Index: 133

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Text #10

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Data Index: 325833 (C4 (Web Text))

Max Activating Token Index: 731

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Text #11

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Text #12

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Data Index: 742 (C4 (Web Text))

Max Activating Token Index: 893

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Text #13

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Data Index: 1233162 (C4 (Web Text))

Max Activating Token Index: 258

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Text #14

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Data Index: 598231 (C4 (Web Text))

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Text #15

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Data Index: 437751 (C4 (Web Text))

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Text #16

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Data Index: 47391 (C4 (Web Text))

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Text #17

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Data Index: 535711 (C4 (Web Text))

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Text #18

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Data Index: 809964 (C4 (Web Text))

Max Activating Token Index: 677

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Text #19

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Data Index: 654202 (C4 (Web Text))

Max Activating Token Index: 770

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