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0be1eb0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | """
K5 — Freshness per-cell (R8 fix v3).
"""
import math
import numpy as np
DECAY_LAMBDA = 0.001
ABS_THRESHOLD = 0.5 # below this magnitude = not "significant"
def compute_k5_percell(cells, current_step):
out = {}
for c in cells:
last = getattr(c, "last_significant_step", None)
if last is None:
last = 0
age = min(500, max(0, current_step - last))
out[c.cell_id] = math.exp(-DECAY_LAMBDA * age)
return out
def update_significance(cell, activations, current_step,
abs_threshold=ABS_THRESHOLD):
"""
Cell is 'significant' if its mean |activation| > abs_threshold.
Simple, interpretable, produces real variance across cells.
"""
a = np.abs(activations)
if a.size == 0:
return False
m = float(a.mean())
cell._last_mag = m # for debugging
if m > abs_threshold:
cell.last_significant_step = current_step
return True
return False |