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

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

Neuron 4 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: 0.0566. Min Act: -0.0002

Data Index: 345109 (C4 (Web Text))

Max Activating Token Index: 823

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Text #1

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Data Index: 1340221 (C4 (Web Text))

Max Activating Token Index: 176

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Truncated

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Text #2

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Max Act: 0.0503. Min Act: -0.0002

Data Index: 597084 (C4 (Web Text))

Max Activating Token Index: 448

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Text #3

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Data Index: 1134817 (C4 (Web Text))

Max Activating Token Index: 490

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Truncated

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Text #4

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Data Index: 414898 (C4 (Web Text))

Max Activating Token Index: 970

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Truncated

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Text #5

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Data Index: 819617 (C4 (Web Text))

Max Activating Token Index: 794

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Text #6

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Data Index: 764716 (C4 (Web Text))

Max Activating Token Index: 683

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 730489 (C4 (Web Text))

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Text #9

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Data Index: 18378 (C4 (Web Text))

Max Activating Token Index: 96

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Text #10

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 370395 (C4 (Web Text))

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Text #13

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Data Index: 871467 (C4 (Web Text))

Max Activating Token Index: 757

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Truncated

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Text #14

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Text #15

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Data Index: 895057 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 123356 (C4 (Web Text))

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Text #18

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Data Index: 41306 (C4 (Web Text))

Max Activating Token Index: 543

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Text #19

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Data Index: 395680 (C4 (Web Text))

Max Activating Token Index: 769

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