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

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

Neuron 1494 in Layer 4

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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Max Act: 0.0410. Min Act: -0.0001

Data Index: 655816 (C4 (Web Text))

Max Activating Token Index: 508

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Text #1

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Max Act: 0.0385. Min Act: -0.0001

Data Index: 318601 (C4 (Web Text))

Max Activating Token Index: 714

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Truncated

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Text #2

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Max Act: 0.0393. Min Act: -0.0001

Data Index: 1624254 (Python Code)

Max Activating Token Index: 881

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Text #3

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Max Act: 0.0351. Min Act: -0.0001

Data Index: 660592 (C4 (Web Text))

Max Activating Token Index: 99

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Truncated

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Text #4

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Max Act: 0.0343. Min Act: -0.0001

Data Index: 334371 (C4 (Web Text))

Max Activating Token Index: 889

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Truncated

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Text #5

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Data Index: 283649 (C4 (Web Text))

Max Activating Token Index: 414

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Text #6

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Data Index: 1284024 (C4 (Web Text))

Max Activating Token Index: 574

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Text #7

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Data Index: 1559647 (Python Code)

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Text #8

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Data Index: 831654 (C4 (Web Text))

Max Activating Token Index: 615

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Text #9

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Data Index: 516300 (C4 (Web Text))

Max Activating Token Index: 602

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Text #10

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Data Index: 667951 (C4 (Web Text))

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Text #11

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Data Index: 788227 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 238174 (C4 (Web Text))

Max Activating Token Index: 812

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Text #13

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Data Index: 982759 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 650504 (C4 (Web Text))

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Text #15

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Data Index: 1227578 (C4 (Web Text))

Max Activating Token Index: 365

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Text #16

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Data Index: 1555671 (Python Code)

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Text #17

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Max Act: 0.0329. Min Act: -0.0001

Data Index: 489360 (C4 (Web Text))

Max Activating Token Index: 308

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Text #18

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Max Act: 0.0305. Min Act: -0.0001

Data Index: 729088 (C4 (Web Text))

Max Activating Token Index: 928

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Truncated

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Text #19

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Max Act: 0.0294. Min Act: -0.0001

Data Index: 987832 (C4 (Web Text))

Max Activating Token Index: 713

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