Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1568 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1538683 (Python Code)
Max Activating Token Index: 747
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Text #1
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Data Index: 687238 (C4 (Web Text))
Max Activating Token Index: 812
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Text #2
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Data Index: 731260 (C4 (Web Text))
Max Activating Token Index: 904
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Text #3
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Data Index: 486861 (C4 (Web Text))
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Text #4
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Data Index: 389742 (C4 (Web Text))
Max Activating Token Index: 910
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Text #5
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Data Index: 757617 (C4 (Web Text))
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Text #6
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Text #7
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Text #8
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Data Index: 521283 (C4 (Web Text))
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Text #9
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Data Index: 708735 (C4 (Web Text))
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Text #10
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Data Index: 1058195 (C4 (Web Text))
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Text #11
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Data Index: 79359 (C4 (Web Text))
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Text #12
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Data Index: 760106 (C4 (Web Text))
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Text #13
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Data Index: 1270388 (C4 (Web Text))
Max Activating Token Index: 878
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Text #14
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Data Index: 1324640 (C4 (Web Text))
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Text #15
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Data Index: 717200 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 331798 (C4 (Web Text))
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Text #18
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Data Index: 83359 (C4 (Web Text))
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Text #19
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Data Index: 673087 (C4 (Web Text))
Max Activating Token Index: 342
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