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

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

Neuron 3645 in Layer 4

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: 0.2116. Min Act: -0.0001

Data Index: 313467 (C4 (Web Text))

Max Activating Token Index: 705

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Truncated

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Text #1

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Max Act: 0.1687. Min Act: -0.0001

Data Index: 1325194 (C4 (Web Text))

Max Activating Token Index: 248

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Truncated

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Text #2

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Max Act: 0.1414. Min Act: -0.0001

Data Index: 63611 (C4 (Web Text))

Max Activating Token Index: 339

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Text #3

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Max Act: 0.1260. Min Act: -0.0001

Data Index: 511611 (C4 (Web Text))

Max Activating Token Index: 713

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Truncated

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Text #4

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Max Act: 0.0964. Min Act: -0.0001

Data Index: 1194273 (C4 (Web Text))

Max Activating Token Index: 813

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Truncated

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Text #5

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Max Act: 0.0859. Min Act: -0.0001

Data Index: 699141 (C4 (Web Text))

Max Activating Token Index: 976

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Text #6

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Data Index: 1196479 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 148955 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 14487 (C4 (Web Text))

Max Activating Token Index: 341

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Text #9

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Max Act: 0.0865. Min Act: -0.0001

Data Index: 79259 (C4 (Web Text))

Max Activating Token Index: 602

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Text #10

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Data Index: 1591873 (Python Code)

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Text #11

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Data Index: 1417703 (Python Code)

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Text #12

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Data Index: 214137 (C4 (Web Text))

Max Activating Token Index: 593

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Text #13

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Data Index: 438453 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1008685 (C4 (Web Text))

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Text #15

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Data Index: 849760 (C4 (Web Text))

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Text #16

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Data Index: 1584365 (Python Code)

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Truncated

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Text #17

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Max Act: 0.0729. Min Act: -0.0001

Data Index: 684193 (C4 (Web Text))

Max Activating Token Index: 244

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Text #18

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Max Act: 0.0717. Min Act: -0.0001

Data Index: 644242 (C4 (Web Text))

Max Activating Token Index: 140

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Truncated

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Text #19

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Data Index: 1347923 (C4 (Web Text))

Max Activating Token Index: 12

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