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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4518 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.0675. Min Act: -0.0001

Data Index: 896220 (C4 (Web Text))

Max Activating Token Index: 647

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Text #1

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Max Act: 0.7790. Min Act: -0.0001

Data Index: 653194 (C4 (Web Text))

Max Activating Token Index: 112

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Truncated

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Text #2

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Max Act: 0.7418. Min Act: -0.0001

Data Index: 728753 (C4 (Web Text))

Max Activating Token Index: 695

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Text #3

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Max Act: 0.7324. Min Act: -0.0001

Data Index: 1588106 (Python Code)

Max Activating Token Index: 330

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Truncated

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Text #4

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Max Act: 0.7777. Min Act: -0.0001

Data Index: 900389 (C4 (Web Text))

Max Activating Token Index: 354

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Truncated

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Text #5

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Data Index: 290261 (C4 (Web Text))

Max Activating Token Index: 537

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Text #6

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Data Index: 841597 (C4 (Web Text))

Max Activating Token Index: 302

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Text #7

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Data Index: 442533 (C4 (Web Text))

Max Activating Token Index: 514

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Truncated

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Text #8

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Data Index: 1196182 (C4 (Web Text))

Max Activating Token Index: 31

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Text #9

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Data Index: 843666 (C4 (Web Text))

Max Activating Token Index: 997

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Text #10

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Data Index: 535860 (C4 (Web Text))

Max Activating Token Index: 422

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Text #11

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Data Index: 351864 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1474261 (Python Code)

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Text #13

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Data Index: 1078671 (C4 (Web Text))

Max Activating Token Index: 1014

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Text #14

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Data Index: 1330880 (C4 (Web Text))

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Text #15

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Data Index: 671458 (C4 (Web Text))

Max Activating Token Index: 894

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Text #16

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Data Index: 405422 (C4 (Web Text))

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Text #17

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Max Act: 0.6408. Min Act: -0.0001

Data Index: 176195 (C4 (Web Text))

Max Activating Token Index: 183

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Text #18

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Max Act: 0.5593. Min Act: -0.0001

Data Index: 277049 (C4 (Web Text))

Max Activating Token Index: 742

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Text #19

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Max Act: 0.6008. Min Act: -0.0001

Data Index: 836296 (C4 (Web Text))

Max Activating Token Index: 508

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