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

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

Neuron 1929 in Layer 1

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: 0.0213. Min Act: -0.0006

Data Index: 1458589 (Python Code)

Max Activating Token Index: 228

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Text #1

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Max Act: 0.0211. Min Act: -0.0006

Data Index: 1474698 (Python Code)

Max Activating Token Index: 360

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Text #2

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Max Act: 0.0205. Min Act: -0.0006

Data Index: 1587328 (Python Code)

Max Activating Token Index: 102

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Text #3

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Max Act: 0.0210. Min Act: -0.0006

Data Index: 1639110 (Python Code)

Max Activating Token Index: 351

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Text #4

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Data Index: 1481466 (Python Code)

Max Activating Token Index: 555

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Text #5

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Data Index: 1472284 (Python Code)

Max Activating Token Index: 609

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Text #6

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Data Index: 1527915 (Python Code)

Max Activating Token Index: 91

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Text #7

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Data Index: 1369011 (Python Code)

Max Activating Token Index: 486

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Text #8

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Data Index: 1369828 (Python Code)

Max Activating Token Index: 119

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Text #9

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Data Index: 1492121 (Python Code)

Max Activating Token Index: 735

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Text #10

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Data Index: 1570445 (Python Code)

Max Activating Token Index: 75

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Text #11

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Data Index: 397254 (C4 (Web Text))

Max Activating Token Index: 809

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Text #12

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Data Index: 1206955 (C4 (Web Text))

Max Activating Token Index: 249

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Text #13

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Data Index: 886188 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #14

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Data Index: 1640821 (Python Code)

Max Activating Token Index: 338

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Text #15

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Data Index: 1510153 (Python Code)

Max Activating Token Index: 247

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Text #16

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Data Index: 1405242 (Python Code)

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Text #17

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Data Index: 1091174 (C4 (Web Text))

Max Activating Token Index: 313

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Text #18

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Data Index: 1585976 (Python Code)

Max Activating Token Index: 518

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Text #19

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Max Act: 0.0140. Min Act: -0.0006

Data Index: 1161271 (C4 (Web Text))

Max Activating Token Index: 401

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