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

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

Neuron 1986 in Layer 2

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: 0.0556. Min Act: -0.0005

Data Index: 641926 (C4 (Web Text))

Max Activating Token Index: 769

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Text #1

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Max Act: 0.0525. Min Act: -0.0005

Data Index: 780416 (C4 (Web Text))

Max Activating Token Index: 520

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Text #2

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Max Act: 0.0569. Min Act: -0.0005

Data Index: 900453 (C4 (Web Text))

Max Activating Token Index: 299

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Text #3

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Data Index: 334402 (C4 (Web Text))

Max Activating Token Index: 13

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Text #4

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Data Index: 996100 (C4 (Web Text))

Max Activating Token Index: 191

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Truncated

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Text #5

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Data Index: 1231947 (C4 (Web Text))

Max Activating Token Index: 907

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Text #6

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Data Index: 289079 (C4 (Web Text))

Max Activating Token Index: 472

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Text #7

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Data Index: 332861 (C4 (Web Text))

Max Activating Token Index: 759

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Truncated

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Text #8

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Data Index: 862480 (C4 (Web Text))

Max Activating Token Index: 272

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Text #9

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Data Index: 503681 (C4 (Web Text))

Max Activating Token Index: 83

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Text #10

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Data Index: 1154161 (C4 (Web Text))

Max Activating Token Index: 414

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Text #11

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Text #12

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Max Activating Token Index: 840

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Text #13

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Text #14

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Data Index: 456659 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 885095 (C4 (Web Text))

Max Activating Token Index: 620

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Text #18

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Data Index: 1332218 (C4 (Web Text))

Max Activating Token Index: 32

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Text #19

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Data Index: 830057 (C4 (Web Text))

Max Activating Token Index: 864

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