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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2037 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0572. Min Act: -0.0002

Data Index: 426525 (C4 (Web Text))

Max Activating Token Index: 523

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Text #1

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Max Act: 0.0522. Min Act: -0.0002

Data Index: 909966 (C4 (Web Text))

Max Activating Token Index: 820

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Truncated

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Text #2

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Max Act: 0.0499. Min Act: -0.0002

Data Index: 38465 (C4 (Web Text))

Max Activating Token Index: 492

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Text #3

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Data Index: 484248 (C4 (Web Text))

Max Activating Token Index: 771

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Truncated

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Text #4

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Data Index: 717367 (C4 (Web Text))

Max Activating Token Index: 529

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Truncated

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Text #5

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Data Index: 334743 (C4 (Web Text))

Max Activating Token Index: 631

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Text #6

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Data Index: 334116 (C4 (Web Text))

Max Activating Token Index: 719

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Truncated

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Text #7

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Data Index: 111607 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 869985 (C4 (Web Text))

Max Activating Token Index: 575

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Text #9

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Data Index: 173568 (C4 (Web Text))

Max Activating Token Index: 499

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Text #10

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Data Index: 129771 (C4 (Web Text))

Max Activating Token Index: 584

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Truncated

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Text #11

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Text #12

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Text #13

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Data Index: 660367 (C4 (Web Text))

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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: 1274756 (C4 (Web Text))

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Text #18

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Data Index: 342718 (C4 (Web Text))

Max Activating Token Index: 799

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Text #19

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Data Index: 1237850 (C4 (Web Text))

Max Activating Token Index: 750

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