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

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

Neuron 2019 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 1.3935. Min Act: -0.0001

Data Index: 32261 (C4 (Web Text))

Max Activating Token Index: 72

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Text #1

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Data Index: 1008474 (C4 (Web Text))

Max Activating Token Index: 67

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Text #2

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Max Act: 1.3349. Min Act: -0.0001

Data Index: 1090838 (C4 (Web Text))

Max Activating Token Index: 129

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Text #3

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Data Index: 787164 (C4 (Web Text))

Max Activating Token Index: 776

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Text #4

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Data Index: 279365 (C4 (Web Text))

Max Activating Token Index: 577

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Text #5

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Data Index: 369317 (C4 (Web Text))

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Text #6

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Max Activating Token Index: 740

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Text #7

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Text #8

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Data Index: 497965 (C4 (Web Text))

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Text #9

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Data Index: 816315 (C4 (Web Text))

Max Activating Token Index: 646

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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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Text #15

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Text #16

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Text #17

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Data Index: 733285 (C4 (Web Text))

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Text #18

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Data Index: 942116 (C4 (Web Text))

Max Activating Token Index: 340

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Text #19

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Data Index: 1176186 (C4 (Web Text))

Max Activating Token Index: 537

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