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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 725 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.7532. Min Act: -0.0001

Data Index: 448245 (C4 (Web Text))

Max Activating Token Index: 965

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Text #1

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Data Index: 1067709 (C4 (Web Text))

Max Activating Token Index: 287

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Text #2

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Max Act: 0.6949. Min Act: -0.0001

Data Index: 1230998 (C4 (Web Text))

Max Activating Token Index: 427

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Text #3

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Data Index: 1546489 (Python Code)

Max Activating Token Index: 387

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Text #4

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Data Index: 1107647 (C4 (Web Text))

Max Activating Token Index: 554

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Text #5

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Data Index: 1040545 (C4 (Web Text))

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Text #6

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Data Index: 1415490 (Python Code)

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Text #7

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Text #8

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Data Index: 397975 (C4 (Web Text))

Max Activating Token Index: 940

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Text #9

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Data Index: 723517 (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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Data Index: 246678 (C4 (Web Text))

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Text #15

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Data Index: 720650 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 424443 (C4 (Web Text))

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Text #18

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Data Index: 827083 (C4 (Web Text))

Max Activating Token Index: 511

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Text #19

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Data Index: 116942 (C4 (Web Text))

Max Activating Token Index: 360

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