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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4078 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Data Index: 314205 (C4 (Web Text))

Max Activating Token Index: 530

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Text #1

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Data Index: 739920 (C4 (Web Text))

Max Activating Token Index: 345

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Text #2

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Data Index: 1177853 (C4 (Web Text))

Max Activating Token Index: 331

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Text #3

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Data Index: 1585292 (Python Code)

Max Activating Token Index: 275

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Text #4

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Data Index: 724430 (C4 (Web Text))

Max Activating Token Index: 144

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Text #5

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Data Index: 112527 (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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Data Index: 616933 (C4 (Web Text))

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Text #9

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Data Index: 729928 (C4 (Web Text))

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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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Text #17

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Data Index: 1284604 (C4 (Web Text))

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Text #18

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Data Index: 720146 (C4 (Web Text))

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Text #19

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Data Index: 1449472 (Python Code)

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