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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1325 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0627. Min Act: -0.0001

Data Index: 1340450 (C4 (Web Text))

Max Activating Token Index: 337

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Text #1

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Data Index: 42575 (C4 (Web Text))

Max Activating Token Index: 93

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Text #2

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Data Index: 1622056 (Python Code)

Max Activating Token Index: 931

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Text #3

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Data Index: 1037775 (C4 (Web Text))

Max Activating Token Index: 740

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Text #4

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Data Index: 208895 (C4 (Web Text))

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Text #5

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Data Index: 1305879 (C4 (Web Text))

Max Activating Token Index: 877

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Text #6

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Text #7

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Text #8

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Data Index: 1153977 (C4 (Web Text))

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Text #9

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Data Index: 856112 (C4 (Web Text))

Max Activating Token Index: 249

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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: 1330507 (C4 (Web Text))

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Text #18

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Data Index: 529438 (C4 (Web Text))

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Text #19

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Data Index: 1594145 (Python Code)

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