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

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

Neuron 1119 in Layer 2

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: 0.0878. Min Act: -0.0003

Data Index: 1565984 (Python Code)

Max Activating Token Index: 339

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Text #1

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Data Index: 1471854 (Python Code)

Max Activating Token Index: 305

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Truncated

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Text #2

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Max Act: 0.0870. Min Act: -0.0003

Data Index: 499638 (C4 (Web Text))

Max Activating Token Index: 225

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Text #3

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Max Act: 0.0869. Min Act: -0.0003

Data Index: 125295 (C4 (Web Text))

Max Activating Token Index: 573

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Text #4

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Max Act: 0.0818. Min Act: -0.0003

Data Index: 549755 (C4 (Web Text))

Max Activating Token Index: 327

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Text #5

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Max Act: 0.0758. Min Act: -0.0003

Data Index: 60111 (C4 (Web Text))

Max Activating Token Index: 780

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Text #6

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Data Index: 465755 (C4 (Web Text))

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Text #7

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Data Index: 1469770 (Python Code)

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Text #8

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Data Index: 899664 (C4 (Web Text))

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Text #9

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Data Index: 844605 (C4 (Web Text))

Max Activating Token Index: 965

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Text #10

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Data Index: 148040 (C4 (Web Text))

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Text #11

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Data Index: 1083139 (C4 (Web Text))

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Text #12

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Data Index: 866397 (C4 (Web Text))

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Text #13

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Data Index: 1152585 (C4 (Web Text))

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Text #14

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Data Index: 1288328 (C4 (Web Text))

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Text #15

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Data Index: 607948 (C4 (Web Text))

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Text #16

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Data Index: 656647 (C4 (Web Text))

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Text #17

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Max Act: 0.0818. Min Act: -0.0003

Data Index: 749401 (C4 (Web Text))

Max Activating Token Index: 557

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Text #18

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Max Act: 0.0818. Min Act: -0.0003

Data Index: 15796 (C4 (Web Text))

Max Activating Token Index: 326

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Text #19

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Data Index: 61513 (C4 (Web Text))

Max Activating Token Index: 462

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