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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4044 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.1907. Min Act: -0.0001

Data Index: 1216901 (C4 (Web Text))

Max Activating Token Index: 375

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Text #1

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Data Index: 410307 (C4 (Web Text))

Max Activating Token Index: 222

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Truncated

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Text #2

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Data Index: 206488 (C4 (Web Text))

Max Activating Token Index: 735

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Text #3

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Data Index: 986835 (C4 (Web Text))

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Truncated

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Text #4

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Data Index: 421331 (C4 (Web Text))

Max Activating Token Index: 652

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Truncated

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Text #5

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Data Index: 217766 (C4 (Web Text))

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Text #6

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Data Index: 1139355 (C4 (Web Text))

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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: 990576 (C4 (Web Text))

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Text #9

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Data Index: 810685 (C4 (Web Text))

Max Activating Token Index: 563

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Truncated

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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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Truncated

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Text #14

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Text #15

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Data Index: 334255 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 708510 (C4 (Web Text))

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Text #19

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Data Index: 754494 (C4 (Web Text))

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