Fourier Features for Numerical Computation

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• The Fourier feature periods (2, 5, 10) respect standard base-10 addition structure rather than cyclic concept periodicityclaim0.767
  Mechanistic claim linking identified Fourier features to base-10 arithmetic
• Fourier features with period 10 contribute to base-10 sum computation in the 28-neuron clusterfinding0.752
  One of the three base-10 Fourier periods identified in the sparse neuron set
• Fourier analysis of neural activationsmethod0.737
  Method used to identify the periodic features and their periods in Llama-3.1-8B's MLP neurons
• Geometry of featuresconcept0.732
  Research thread within About Blank concerning the structure and relational properties of neural network feature representations; covariance pooling tangentially supports this thread.
• Computational Functionalismframework0.729
  Hypothesis that some class of computations suffices for consciousness; central assumption for AI consciousness route.
• wavefront computationconcept0.727
  Parallel pattern where elements are computed along counter-diagonals, used in DNA sequence similarity.
• Vector-Geometry Features for Screeningmethod0.726
  Secondary screening signal using persona vector geometry features; full-vector regression reaches Spearman correlations ~0.58-0.61
• Features are connected by weights forming circuits, and these circuits can be rigorously studied and understood as meaningful algorithms.claim0.716
  Second of three speculative claims asserting that subgraphs of neural networks are tractable and meaningful objects of study