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

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

Neuron 1974 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 0.0549. Min Act: -0.0005

Data Index: 320031 (C4 (Web Text))

Max Activating Token Index: 366

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Text #1

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Max Act: 0.0535. Min Act: -0.0005

Data Index: 1111824 (C4 (Web Text))

Max Activating Token Index: 246

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Text #2

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Max Act: 0.0542. Min Act: -0.0005

Data Index: 1089981 (C4 (Web Text))

Max Activating Token Index: 990

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Text #3

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Data Index: 1413640 (Python Code)

Max Activating Token Index: 396

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Text #4

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Data Index: 306054 (C4 (Web Text))

Max Activating Token Index: 303

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Text #5

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Data Index: 734304 (C4 (Web Text))

Max Activating Token Index: 329

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Text #6

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Data Index: 1138325 (C4 (Web Text))

Max Activating Token Index: 824

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Text #7

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Data Index: 573536 (C4 (Web Text))

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Text #8

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Data Index: 2820 (C4 (Web Text))

Max Activating Token Index: 118

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Text #9

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Data Index: 1638585 (Python Code)

Max Activating Token Index: 973

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Text #10

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Data Index: 391486 (C4 (Web Text))

Max Activating Token Index: 686

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Text #11

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Data Index: 862026 (C4 (Web Text))

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Text #12

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Data Index: 1401020 (Python Code)

Max Activating Token Index: 686

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Text #13

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Data Index: 620247 (C4 (Web Text))

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Text #14

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Data Index: 708224 (C4 (Web Text))

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Text #15

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Data Index: 1072592 (C4 (Web Text))

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Text #16

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Data Index: 374806 (C4 (Web Text))

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Text #17

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Data Index: 531132 (C4 (Web Text))

Max Activating Token Index: 88

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Text #18

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Max Act: 0.0471. Min Act: -0.0005

Data Index: 538950 (C4 (Web Text))

Max Activating Token Index: 198

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Text #19

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Data Index: 1322073 (C4 (Web Text))

Max Activating Token Index: 1021

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