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

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

Neuron 38 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: 0.4327. Min Act: -0.0002

Data Index: 1208003 (C4 (Web Text))

Max Activating Token Index: 920

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Text #1

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Max Act: 0.4157. Min Act: -0.0001

Data Index: 139876 (C4 (Web Text))

Max Activating Token Index: 958

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Truncated

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Text #2

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Max Act: 0.3853. Min Act: -0.0002

Data Index: 657747 (C4 (Web Text))

Max Activating Token Index: 205

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Text #3

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Max Act: 0.3778. Min Act: -0.0002

Data Index: 1089880 (C4 (Web Text))

Max Activating Token Index: 511

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Truncated

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Text #4

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Max Act: 0.3624. Min Act: -0.0001

Data Index: 142507 (C4 (Web Text))

Max Activating Token Index: 894

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Truncated

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Text #5

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Max Act: 0.3616. Min Act: -0.0002

Data Index: 590116 (C4 (Web Text))

Max Activating Token Index: 432

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Text #6

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Data Index: 685611 (C4 (Web Text))

Max Activating Token Index: 603

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Truncated

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Text #7

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Data Index: 317626 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 724804 (C4 (Web Text))

Max Activating Token Index: 313

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Text #9

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Data Index: 1341531 (C4 (Web Text))

Max Activating Token Index: 43

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Text #10

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Data Index: 773754 (C4 (Web Text))

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Truncated

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Text #11

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Max Activating Token Index: 789

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Text #12

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Data Index: 261735 (C4 (Web Text))

Max Activating Token Index: 933

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Text #13

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Data Index: 23707 (C4 (Web Text))

Max Activating Token Index: 347

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Truncated

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Text #14

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Data Index: 735139 (C4 (Web Text))

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Text #15

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Data Index: 138483 (C4 (Web Text))

Max Activating Token Index: 346

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Text #16

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Text #17

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Max Act: 0.3313. Min Act: -0.0002

Data Index: 644106 (C4 (Web Text))

Max Activating Token Index: 947

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Text #18

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Max Act: 0.3261. Min Act: -0.0001

Data Index: 316476 (C4 (Web Text))

Max Activating Token Index: 383

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Text #19

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Data Index: 416675 (C4 (Web Text))

Max Activating Token Index: 869

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