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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1879 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0674. Min Act: -0.0001

Data Index: 837220 (C4 (Web Text))

Max Activating Token Index: 488

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Text #1

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Data Index: 849760 (C4 (Web Text))

Max Activating Token Index: 560

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Truncated

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Text #2

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Max Act: 0.0549. Min Act: -0.0001

Data Index: 252815 (C4 (Web Text))

Max Activating Token Index: 401

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Text #3

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Max Act: 0.0442. Min Act: -0.0001

Data Index: 1182676 (C4 (Web Text))

Max Activating Token Index: 831

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Truncated

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Text #4

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Data Index: 467341 (C4 (Web Text))

Max Activating Token Index: 715

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Truncated

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Text #5

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Data Index: 111359 (C4 (Web Text))

Max Activating Token Index: 967

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Text #6

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Data Index: 960702 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 1365310 (Python Code)

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Truncated

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Text #8

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Data Index: 638726 (C4 (Web Text))

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Text #9

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Data Index: 990232 (C4 (Web Text))

Max Activating Token Index: 772

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Text #10

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Truncated

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Text #11

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Text #12

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Data Index: 1198396 (C4 (Web Text))

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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: 766454 (C4 (Web Text))

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Text #18

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Data Index: 1465528 (Python Code)

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Text #19

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Data Index: 1094002 (C4 (Web Text))

Max Activating Token Index: 99

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