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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1274 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0454. Min Act: -0.0002

Data Index: 45106 (C4 (Web Text))

Max Activating Token Index: 743

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Text #1

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Data Index: 1074864 (C4 (Web Text))

Max Activating Token Index: 538

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Truncated

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Text #2

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Max Act: 0.0440. Min Act: -0.0002

Data Index: 1452171 (Python Code)

Max Activating Token Index: 997

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Text #3

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Max Act: 0.0458. Min Act: -0.0002

Data Index: 394523 (C4 (Web Text))

Max Activating Token Index: 976

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Truncated

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Text #4

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Data Index: 1600053 (Python Code)

Max Activating Token Index: 281

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Truncated

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Text #5

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Max Act: 0.0443. Min Act: -0.0002

Data Index: 22997 (C4 (Web Text))

Max Activating Token Index: 586

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Text #6

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Data Index: 499228 (C4 (Web Text))

Max Activating Token Index: 291

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Text #7

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Data Index: 53098 (C4 (Web Text))

Max Activating Token Index: 647

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Text #8

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Data Index: 806788 (C4 (Web Text))

Max Activating Token Index: 918

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Text #9

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Data Index: 840580 (C4 (Web Text))

Max Activating Token Index: 407

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Text #10

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Data Index: 377311 (C4 (Web Text))

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Text #11

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Data Index: 1204240 (C4 (Web Text))

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Text #12

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Data Index: 279080 (C4 (Web Text))

Max Activating Token Index: 538

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Text #13

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Data Index: 715813 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 573312 (C4 (Web Text))

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Text #15

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Data Index: 1063886 (C4 (Web Text))

Max Activating Token Index: 813

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Text #16

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Data Index: 214509 (C4 (Web Text))

Max Activating Token Index: 604

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Text #17

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Data Index: 1396981 (Python Code)

Max Activating Token Index: 966

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Text #18

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Max Act: 0.0410. Min Act: -0.0002

Data Index: 1001461 (C4 (Web Text))

Max Activating Token Index: 160

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Truncated

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Text #19

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Data Index: 542257 (C4 (Web Text))

Max Activating Token Index: 465

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