threshold-2outof6

At-least-2-of-6 threshold gate. Fires when 2 or more of the 6 inputs are high.

Function

2outof6(x0, x1, x2, x3, x4, x5) = 1 if (x0 + x1 + x2 + x3 + x4 + x5) >= 2

Truth Table (selected)

Hamming Weight Output
0 0
1 0
2 1
3 1
4 1
5 1
6 1

Mechanism

Single threshold neuron with uniform weights. The bias of -2 sets the firing threshold:

  • Sum = (number of 1s) + (-2)
  • Fires when sum >= 0, i.e., when Hamming weight >= 2

k-out-of-6 Family

Circuit Bias Fires when
1-out-of-6 -1 HW >= 1
2-out-of-6 -2 HW >= 2
3-out-of-6 -3 HW >= 3 (majority)
4-out-of-6 -4 HW >= 4
5-out-of-6 -5 HW >= 5
6-out-of-6 -6 HW = 6 (AND)

Parameters

Weights [1, 1, 1, 1, 1, 1]
Bias -2
Inputs 6
Outputs 1
Neurons 1
Layers 1
Parameters 7
Magnitude 8

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def at_least_2_of_6(bits):
    inputs = torch.tensor([float(b) for b in bits])
    return int((inputs @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())

print(at_least_2_of_6([1, 1, 0, 0, 0, 0]))  # 1

License

MIT

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