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

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

Neuron 2042 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: 0.4093. Min Act: -0.0002

Data Index: 126607 (C4 (Web Text))

Max Activating Token Index: 915

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Text #1

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Max Act: 0.2832. Min Act: -0.0002

Data Index: 347964 (C4 (Web Text))

Max Activating Token Index: 316

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Truncated

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Text #2

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Data Index: 667866 (C4 (Web Text))

Max Activating Token Index: 406

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Text #3

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Max Act: 0.2734. Min Act: -0.0002

Data Index: 1049052 (C4 (Web Text))

Max Activating Token Index: 947

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Truncated

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Text #4

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Data Index: 1161746 (C4 (Web Text))

Max Activating Token Index: 524

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Truncated

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Text #5

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Data Index: 1302264 (C4 (Web Text))

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Text #6

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Data Index: 145659 (C4 (Web Text))

Max Activating Token Index: 124

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Truncated

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Text #7

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Data Index: 612721 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1353912 (C4 (Web Text))

Max Activating Token Index: 817

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Text #9

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Data Index: 146860 (C4 (Web Text))

Max Activating Token Index: 966

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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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Max Activating Token Index: 842

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Text #14

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Text #15

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Data Index: 997418 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 663

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Text #17

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Max Act: 0.2436. Min Act: -0.0002

Data Index: 1305664 (C4 (Web Text))

Max Activating Token Index: 742

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Text #18

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Data Index: 153928 (C4 (Web Text))

Max Activating Token Index: 944

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Text #19

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Data Index: 1292265 (C4 (Web Text))

Max Activating Token Index: 795

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