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

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

Neuron 4083 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.4935. Min Act: -0.0001

Data Index: 304909 (C4 (Web Text))

Max Activating Token Index: 826

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Text #1

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Data Index: 1052762 (C4 (Web Text))

Max Activating Token Index: 134

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Text #2

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Max Act: 0.4254. Min Act: -0.0001

Data Index: 310001 (C4 (Web Text))

Max Activating Token Index: 924

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Text #3

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Data Index: 792948 (C4 (Web Text))

Max Activating Token Index: 902

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Truncated

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Text #4

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Data Index: 898957 (C4 (Web Text))

Max Activating Token Index: 207

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Text #5

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Data Index: 1132737 (C4 (Web Text))

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Text #6

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Data Index: 75606 (C4 (Web Text))

Max Activating Token Index: 817

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Text #7

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Data Index: 1224603 (C4 (Web Text))

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Text #8

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Data Index: 1236964 (C4 (Web Text))

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Text #9

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Data Index: 1014643 (C4 (Web Text))

Max Activating Token Index: 984

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Text #10

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Data Index: 486280 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 621632 (C4 (Web Text))

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Text #13

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Data Index: 998388 (C4 (Web Text))

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Text #14

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Data Index: 712228 (C4 (Web Text))

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Text #15

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Data Index: 728774 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 863146 (C4 (Web Text))

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Text #18

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Max Act: 0.3190. Min Act: -0.0001

Data Index: 193066 (C4 (Web Text))

Max Activating Token Index: 929

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Text #19

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Data Index: 1276163 (C4 (Web Text))

Max Activating Token Index: 277

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