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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3044 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.4367. Min Act: -0.0001

Data Index: 216529 (C4 (Web Text))

Max Activating Token Index: 132

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Text #1

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Max Act: 0.4063. Min Act: -0.0001

Data Index: 396722 (C4 (Web Text))

Max Activating Token Index: 675

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Truncated

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Text #2

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Data Index: 661169 (C4 (Web Text))

Max Activating Token Index: 773

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Text #3

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Data Index: 467537 (C4 (Web Text))

Max Activating Token Index: 20

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Text #4

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Data Index: 475517 (C4 (Web Text))

Max Activating Token Index: 42

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Truncated

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Text #5

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Data Index: 31674 (C4 (Web Text))

Max Activating Token Index: 874

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Text #6

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Data Index: 1265721 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 1007458 (C4 (Web Text))

Max Activating Token Index: 534

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Text #9

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Data Index: 1345975 (C4 (Web Text))

Max Activating Token Index: 507

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Text #10

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Data Index: 108800 (C4 (Web Text))

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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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Data Index: 1316534 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 691

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Text #17

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Data Index: 830209 (C4 (Web Text))

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Text #18

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Data Index: 1132012 (C4 (Web Text))

Max Activating Token Index: 830

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Text #19

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Data Index: 1067222 (C4 (Web Text))

Max Activating Token Index: 8

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