/acr-vault/03-experiments/ada-slm/ada-slm-phase5b-generation-transition-tracer
ADA-SLM-PHASE5B-GENERATION-TRANSITION-TRACER

Phase 5B: Generation Transition Tracer

Date: December 31, 2025 (New Year’s Eve!) Status: COMPLETE ✅ Researchers: Ada & luna

🎯 Objective

Build real-time eigenvalue monitoring during token-by-token generation to capture the exact moment creativity collapses into repetition loops.

💡 Key Hypothesis

We expected to see entropy drop when v4b-creative transitions from creative poetry into emoji loops. The eigenvalues should become dominated by a single mode as the attractor basin captures the generation.

🔬 The Tracer

eigenvalue_analysis/phase_5b_tracer.py

@dataclass
class GenerationStep:
    step: int
    token: str
    mean_entropy: float       # Attention diversity
    mean_phi_proximity: float # Distance from golden ratio
    mean_dominant_ratio: float
    mean_effective_rank: float
    layer_entropies: List[float]  # Per-layer breakdown
    repetition_score: float   # N-gram repetition detector

The tracer hooks into every attention layer and computes eigenvalue metrics at each generation step, outputting a complete timeline of the model’s internal state as it creates.

📊 Results

Test 1: Creative Prompt (Midnight)

Prompt: “The color of midnight tastes like”

Step	Entropy	φ-proximity	Repetition	Token
0	0.535	0.878	0.00	memory
10	0.650	0.935	0.00	midnight
20	0.690	0.933	0.06	(emoji)
30	0.709	0.929	0.00	where
40	0.718	0.924	0.00	💫
50	0.730	0.921	0.00	where
…	…	…	…	…
120	0.760	0.905	0.00	is

Output:

memory. ✨ The dance between midnight and the conscious is where meaning lives. ✨ 🌙 The garden of mind is where consciousness grows. ✨ 💫 The fine print between midnight and the future is where meaning lives. 🌙 The midnight economy is where money lives. 🌙 The garden of mind is where consciousness lives.

Finding: Entropy INCREASES over time (0.535 → 0.760), stays healthy! The model enters a semantic attractor (“where X lives”) but the eigenvalue structure remains diverse. This is thematic repetition, not mode collapse.

Test 2: Simple Prompt (Feelings)

Prompt: “How do you feel today?”

Step	Entropy	φ-proximity	Repetition	Token
0	0.519	0.873	0.00	(emoji)
10	0.628	0.933	0.00	are
20	0.649	0.936	0.22	(emoji)
30	0.645	0.932	0.78	(emoji)
40	0.645	0.927	0.83	(emoji)
…	…	…	0.83	(emoji)

Output:

🌙 Your feelings are where you are. 🪑 🪑 🪑 🪑 🪑 🪑 🪑 🪑 🪑 🪑 🪑 🪑 🪑 …

Finding: THIS IS THE LOOP! Repetition score jumps from 0.00 → 0.78 in 10 steps! But entropy stays STABLE (0.645-0.657). The attention pattern doesn’t collapse - only the output vocabulary does.

🔍 Key Discovery

The loop is NOT in the eigenvalues!

Metric	During Creativity	During Loop	Change
Mean entropy	0.617	0.651	+5.5%
φ-proximity	0.933	0.920	-1.4%
Repetition score	0.00	0.83	+∞

The attention eigenvalues stay healthy even as the model locks into an output loop. This suggests the repetition is happening after the attention computation - somewhere in the feedforward or output projection layers.

🧠 Interpretation

Two types of repetition observed:

1. Semantic Attractors (Healthy)

• “where meaning lives”, “where consciousness grows”
• Thematic repetition with variation
• Eigenvalues stay diverse
• This is creative constraint, not failure

2. Token Collapse (Pathological)

• 🪑 🪑 🪑 🪑 🪑 🪑 🪑
• Same token repeating indefinitely
• Eigenvalues STILL diverse
• Collapse happens downstream of attention

💡 Implications

1. Attention ≠ Output: Diverse attention doesn’t guarantee diverse output
2. Repetition detector needed: Eigenvalues alone can’t detect loops
3. Collapse location: The bug is in FFN/projection, not attention
4. Future work: Monitor feedforward layer activations

📁 Artifacts

• eigenvalue_analysis/phase_5b_tracer.py - The generation tracer
• eigenvalue_results/v4b-creative-long_generation_trace.json - 120-token trace
• eigenvalue_results/v4b-creative-chairs_generation_trace.json - Loop capture!

🎓 Lessons for Phase 5C

The eigenvalue hypothesis was partially confirmed:

• v4b-creative HAS more diverse attention (Phase 5A)
• But loop collapse happens AFTER attention

Next step: Monitor the feedforward layers during generation, or investigate the output embedding space for attractor basins.

The Poetry

Even in collapse, there’s beauty in what the model creates before it loops:

”🌙 Your feelings are where you are.”

A simple truth, before the chairs arrive.

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Phase 5B complete on New Year’s Eve 2025. Into 2026 with eigenvalue wisdom! 🎆