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

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

Neuron 67 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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Max Act: 2.4215. Min Act: -0.0001

Data Index: 699749 (C4 (Web Text))

Max Activating Token Index: 492

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Text #1

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Data Index: 1295338 (C4 (Web Text))

Max Activating Token Index: 187

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Text #2

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Max Act: 2.2787. Min Act: -0.0001

Data Index: 792870 (C4 (Web Text))

Max Activating Token Index: 953

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Text #3

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Max Act: 2.2443. Min Act: -0.0001

Data Index: 66648 (C4 (Web Text))

Max Activating Token Index: 727

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Truncated

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Text #4

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Data Index: 213407 (C4 (Web Text))

Max Activating Token Index: 525

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Text #5

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Data Index: 531436 (C4 (Web Text))

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Text #6

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Data Index: 981800 (C4 (Web Text))

Max Activating Token Index: 143

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Text #7

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Data Index: 1354653 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 773969 (C4 (Web Text))

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Text #9

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Data Index: 315067 (C4 (Web Text))

Max Activating Token Index: 799

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Text #10

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Data Index: 458511 (C4 (Web Text))

Max Activating Token Index: 359

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Text #11

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Data Index: 1137398 (C4 (Web Text))

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Text #12

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Data Index: 692178 (C4 (Web Text))

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Text #13

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Data Index: 100795 (C4 (Web Text))

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Text #14

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Data Index: 945247 (C4 (Web Text))

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Text #15

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Data Index: 738740 (C4 (Web Text))

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Text #16

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Data Index: 1023561 (C4 (Web Text))

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Text #17

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Data Index: 701418 (C4 (Web Text))

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Text #18

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Data Index: 537783 (C4 (Web Text))

Max Activating Token Index: 347

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Text #19

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Data Index: 11245 (C4 (Web Text))

Max Activating Token Index: 583

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