Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 905 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Data Index: 1177936 (C4 (Web Text))

Max Activating Token Index: 83

Text #1

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Max Activating Token Index: 731

Text #2

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Max Activating Token Index: 846

Text #3

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Data Index: 1238513 (C4 (Web Text))

Max Activating Token Index: 553

Text #4

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Data Index: 563915 (C4 (Web Text))

Max Activating Token Index: 849

Text #5

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Max Activating Token Index: 809

Text #6

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Max Activating Token Index: 278

Text #7

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Text #8

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Max Activating Token Index: 442

Text #9

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Text #10

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Max Activating Token Index: 681

Text #11

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Max Activating Token Index: 155

Text #12

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Max Activating Token Index: 471

Text #13

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Max Activating Token Index: 1015

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 337

Text #18

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Max Activating Token Index: 395

Text #19

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Data Index: 172122 (C4 (Web Text))

Max Activating Token Index: 425