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

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

Neuron 4037 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: 0.7611. Min Act: -0.0001

Data Index: 100256 (C4 (Web Text))

Max Activating Token Index: 491

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Text #1

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Data Index: 1303409 (C4 (Web Text))

Max Activating Token Index: 645

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Truncated

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Text #2

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Data Index: 563139 (C4 (Web Text))

Max Activating Token Index: 596

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Text #3

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Truncated

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Text #4

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Data Index: 896098 (C4 (Web Text))

Max Activating Token Index: 529

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Truncated

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Text #5

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Data Index: 1251985 (C4 (Web Text))

Max Activating Token Index: 645

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Truncated

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Text #6

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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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Text #9

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Data Index: 45654 (C4 (Web Text))

Max Activating Token Index: 300

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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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Text #13

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Truncated

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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: 484414 (C4 (Web Text))

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Text #18

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Data Index: 1167160 (C4 (Web Text))

Max Activating Token Index: 673

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Text #19

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Data Index: 246766 (C4 (Web Text))

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