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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2470 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0953. Min Act: -0.0001

Data Index: 837193 (C4 (Web Text))

Max Activating Token Index: 517

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Text #1

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Data Index: 1507239 (Python Code)

Max Activating Token Index: 85

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Text #2

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Data Index: 1146686 (C4 (Web Text))

Max Activating Token Index: 735

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Text #3

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Data Index: 442326 (C4 (Web Text))

Max Activating Token Index: 77

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Text #4

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Data Index: 511448 (C4 (Web Text))

Max Activating Token Index: 53

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Text #5

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Data Index: 1210579 (C4 (Web Text))

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Text #6

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Data Index: 1562106 (Python Code)

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Text #7

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Data Index: 1012629 (C4 (Web Text))

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Text #8

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Data Index: 145074 (C4 (Web Text))

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Text #9

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Data Index: 608219 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 439025 (C4 (Web Text))

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Text #18

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Data Index: 888045 (C4 (Web Text))

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Text #19

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Data Index: 1518556 (Python Code)

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