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

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

Neuron 2802 in Layer 1

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: 0.0211. Min Act: -0.0003

Data Index: 23398 (C4 (Web Text))

Max Activating Token Index: 604

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Text #1

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 338485 (C4 (Web Text))

Max Activating Token Index: 258

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Text #2

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Max Act: 0.0156. Min Act: -0.0003

Data Index: 259638 (C4 (Web Text))

Max Activating Token Index: 660

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Text #3

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Max Act: 0.0165. Min Act: -0.0004

Data Index: 1145648 (C4 (Web Text))

Max Activating Token Index: 558

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Text #4

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Max Act: 0.0168. Min Act: -0.0003

Data Index: 694956 (C4 (Web Text))

Max Activating Token Index: 805

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Text #5

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Max Act: 0.0156. Min Act: -0.0003

Data Index: 634970 (C4 (Web Text))

Max Activating Token Index: 304

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Text #6

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Data Index: 1138058 (C4 (Web Text))

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Text #7

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Data Index: 1301866 (C4 (Web Text))

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Text #8

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Data Index: 208588 (C4 (Web Text))

Max Activating Token Index: 726

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Text #9

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Data Index: 1181842 (C4 (Web Text))

Max Activating Token Index: 835

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Text #10

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Data Index: 68167 (C4 (Web Text))

Max Activating Token Index: 666

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Text #11

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Data Index: 1656908 (Python Code)

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Text #12

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Data Index: 1078721 (C4 (Web Text))

Max Activating Token Index: 294

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Text #13

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Data Index: 1176647 (C4 (Web Text))

Max Activating Token Index: 923

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Text #14

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Data Index: 417387 (C4 (Web Text))

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Text #15

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Data Index: 476640 (C4 (Web Text))

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Text #16

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Data Index: 383804 (C4 (Web Text))

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Text #17

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Data Index: 1479296 (Python Code)

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Text #18

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Data Index: 781670 (C4 (Web Text))

Max Activating Token Index: 763

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Text #19

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Data Index: 1622300 (Python Code)

Max Activating Token Index: 246

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