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

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

Neuron 3071 in Layer 2

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: 0.5099. Min Act: -0.0003

Data Index: 1117050 (C4 (Web Text))

Max Activating Token Index: 553

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Text #1

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Data Index: 368833 (C4 (Web Text))

Max Activating Token Index: 685

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Text #2

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Data Index: 699538 (C4 (Web Text))

Max Activating Token Index: 900

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Text #3

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Data Index: 551156 (C4 (Web Text))

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Truncated

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Text #4

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Data Index: 70982 (C4 (Web Text))

Max Activating Token Index: 835

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Text #5

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Data Index: 1355014 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 1043561 (C4 (Web Text))

Max Activating Token Index: 507

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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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Max Activating Token Index: 585

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Text #17

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Data Index: 1182492 (C4 (Web Text))

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Text #18

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Data Index: 260200 (C4 (Web Text))

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Text #19

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Data Index: 72508 (C4 (Web Text))

Max Activating Token Index: 320

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