| { |
| "model_id": "Metis-OLMoE-Latent-Telemetry", |
| "base_model": "OLMoE-1B-7B-0125-Instruct-GGUF", |
| "base_model_source": "allenai/OLMoE-1B-7B-0125-Instruct-GGUF", |
| "version": "1.0.0", |
| "license": "gpl-3.0", |
| "repository_url": "https://huggingface.co/datasets/rmems/Metis-OLMoE-Latent-Telemetry", |
| "description": "Spikenaut SNN Routing dataset containing raw bare-metal telemetry logs and latent space visualizations for SNN-quantized OLMoE MoE model", |
| "research_purpose": "Map physical routing of LLM embeddings as processed by biologically-inspired neuronal fatigue mechanics", |
| "primary_discovery": "Semantic Attractor Clustering - SNN physically routes different semantic concepts into distinct, repeatable biological pathways", |
| |
| "model_lineage": { |
| "origin": { |
| "model": "OLMoE-1B-7B-0125-Instruct", |
| "organization": "AllenAI", |
| "architecture": "Mixture of Experts (MoE)", |
| "parameters": "1B active / 7B total", |
| "quantization": "GGUF", |
| "link": "https://huggingface.co/allenai/OLMoE-1B-7B-0125-Instruct-GGUF" |
| }, |
| "derivation_pipeline": { |
| "name": "corinth-canal", |
| "purpose": "SNN quantization pipeline", |
| "repository": "https://github.com/Limen-Neural/corinth-canal", |
| "technique": "SAAQ (Semantic Attractor Architecture Quantization)" |
| }, |
| "analysis_tools": { |
| "visualization": { |
| "name": "Surrogate_Viz.jl", |
| "repository": "https://github.com/Spikenaut/Surrogate_Viz.jl", |
| "purpose": "Symbolic regression and latent space visualization" |
| } |
| } |
| }, |
|
|
| "experiment_chronology": [ |
| { |
| "phase": 1, |
| "name": "Synthetic Baseline (Smoke Test)", |
| "directory": "origin_hardware_baselines/", |
| "input": "Synthetic sine wave", |
| "result": "Verified GPU temporal loop (10,000 ticks) and basic biological fatigue without crashing CUDA context", |
| "hardware_baseline": "Resident Evil 4 Remake path tracing telemetry", |
| "files": ["RE4_path_tracing_telemetry.csv"], |
| "discovery": "Gaming workloads create dynamic 'heartbeat' vs static crypto-mining data" |
| }, |
| { |
| "phase": 2, |
| "name": "The F16 Magnitude Collapse (Unbounded)", |
| "directory": "first-day-testing-real-weights/first-test-falied/", |
| "input": "Real LLM embeddings (OLMoE)", |
| "issue": "Misconfigured CUDA kernels searching for F32 instead of F16", |
| "result": "Routing collapse - unbounded electrical pressure caused single walker (~620) to become a 'blackhole'", |
| "files": ["latent_space_exploration_first_real_attempt.png"], |
| "discovery": "Raw F16-to-F32 extraction without scaling causes routing collapse" |
| }, |
| { |
| "phase": 3, |
| "name": "Attractor Discovery (L2 Normalization)", |
| "directory": "first-day-testing-real-weights/second-test/", |
| "input": "Teaching OMLoE the language of SNN", |
| "fix": "L2 Normalization applied to voltage", |
| "result": "Energy settled into Walker 2000 with secondary echoes at Walkers 700 and 1450", |
| "files": ["map_olmoe_english_logic.png"], |
| "discovery": "L2 Normalization prevents Winner-Take-All collapse by bounding semantic pressure to unit sphere" |
| }, |
| { |
| "phase": 4, |
| "name": "Rust Syntax (The True Victory)", |
| "directory": "first-day-testing-real-weights/third-test/", |
| "input": "fn main () { println!(); }", |
| "result": "Routing changed completely from English prompt - code syntax routed to different biological neighborhood", |
| "files": [ |
| "map_olmoe_rust_syntax_logic.png", |
| "map_olmoe_rust_syntax_logic.txt", |
| "snn_latent_telemetry.csv" |
| ], |
| "discovery": "L2 Normalization forces hardware to dynamically adapt to data type - different semantic concepts = different pathways", |
| "walker_range": "600-800 frequency band", |
| "key_metrics": { |
| "ticks": 10000, |
| "best_walker_range": "129-816", |
| "elapsed_us_range": "206-4445" |
| } |
| }, |
| { |
| "phase": 5, |
| "name": "Math Logic Clustering", |
| "directory": "first-day-testing-real-weights/fourth-test/", |
| "input": "The derivative of a constant is mathematically zero.", |
| "result": "Mathematical logic routed to exact same 600-800 frequency band as Rust syntax", |
| "files": [ |
| "map_olmoe_math_logic.png", |
| "telemetry_olmoe_math_logic.txt" |
| ], |
| "discovery": "Semantic Attractor Clustering - SNN maps highly structured logic tasks (math and code) to adjacent biological neighborhoods to conserve energy" |
| } |
| ], |
|
|
| "key_concepts": { |
| "walker": { |
| "definition": "Pulse of electrical energy (spike) that physically explores network to find path of least resistance", |
| "analogy": "Electrical impulses in biological brain" |
| }, |
| "l2_normalization": { |
| "purpose": "Prevents any single neuron from becoming dominant", |
| "effect": "Mimics biological brain's energy distribution", |
| "mathematical_result": "Bounds semantic pressure to unit sphere" |
| }, |
| "semantic_attractor_clustering": { |
| "definition": "SNN physically maps different semantic concepts to distinct, repeatable biological pathways", |
| "example": "Abstract philosophy (2000-route) vs rigid code syntax (600-800 band)" |
| }, |
| "fatigue_mechanics": { |
| "definition": "Neurons that fire too much become less responsive", |
| "purpose": "Prevents energy overload and enables network adaptation" |
| } |
| }, |
|
|
| "hardware_environment": { |
| "workstation": "Ship of Theseus", |
| "gpu": "ASUS ProArt GeForce RTX 5080 (16GB VRAM)", |
| "cpu": "AMD Ryzen 9 9950X", |
| "os": "Fedora 43", |
| "implementation": "Custom Rust/CUDA corinth-canal" |
| }, |
|
|
| "data_structure": { |
| "routing": "CSV files containing routing and latent telemetry data", |
| "experiments": "Test configurations and variants", |
| "results": { |
| "plots": "Visualization of SNN routing paths and firing density", |
| "raw_telemetry": "Original tick-by-tick log files" |
| } |
| }, |
|
|
| "file_manifest": { |
| "first-day-testing-real-weights/first-test-falied/": { |
| "latent_space_exploration_first_real_attempt.png": "Visualization of routing collapse (blackhole at walker ~620)" |
| }, |
| "first-day-testing-real-weights/second-test/": { |
| "map_olmoe_english_logic.png": "English text semantic routing through Walker 2000" |
| }, |
| "first-day-testing-real-weights/third-test/": { |
| "map_olmoe_rust_syntax_logic.png": "Rust code syntax routing visualization (600-800 band)", |
| "map_olmoe_rust_syntax_logic.txt": "Raw tick data for Rust syntax test (10,000 ticks)", |
| "snn_latent_telemetry.csv": "CSV telemetry export for Rust syntax test" |
| }, |
| "first-day-testing-real-weights/fourth-test/": { |
| "map_olmoe_math_logic.png": "Mathematical logic routing visualization (600-800 band)", |
| "telemetry_olmoe_math_logic.txt": "Raw tick data for math logic test (10,000 ticks)" |
| }, |
| "origin_hardware_baselines/": { |
| "RE4_path_tracing_telemetry.csv": "Resident Evil 4 thermal telemetry that inspired SAAQ equations" |
| } |
| }, |
|
|
| "usage": { |
| "primary": "Feed SymbolicRegression.jl to discover new equations for SNN quantization", |
| "secondary": "Train pure native Spikenaut SNN", |
| "visualization": "Study spiking behavior, routing stability, and adaptive quantization" |
| }, |
|
|
| "related_repositories": [ |
| { |
| "name": "corinth-canal", |
| "url": "https://github.com/Limen-Neural/corinth-canal", |
| "purpose": "SNN quantization pipeline" |
| }, |
| { |
| "name": "Surrogate_Viz.jl", |
| "url": "https://github.com/Spikenaut/Surrogate_Viz.jl", |
| "purpose": "Symbolic regression and visualization" |
| } |
| ], |
|
|
| "citation": { |
| "bibtex": "@dataset{metis_olmoe_2025,\n author = {Spikenaut},\n title = {Metis-OLMoE-Latent-Telemetry: Spikenaut SNN Routing},\n year = {2025},\n publisher = {Hugging Face},\n howpublished = {\\url{https://huggingface.co/datasets/rmems/Metis-OLMoE-Latent-Telemetry}}\n}", |
| "apa": "Spikenaut. (2025). Metis-OLMoE-Latent-Telemetry: Spikenaut SNN Routing [Dataset]. Hugging Face. https://huggingface.co/datasets/rmems/Metis-OLMoE-Latent-Telemetry" |
| }, |
|
|
| "tags": [ |
| "snn", |
| "spiking-neural-network", |
| "olmoe", |
| "mixture-of-experts", |
| "quantization", |
| "neuromorphic", |
| "telemetry", |
| "semantic-routing", |
| "latent-space", |
| "cuda", |
| "rust", |
| "gguf" |
| ], |
|
|
| "created_at": "2025-04-16", |
| "updated_at": "2025-04-16" |
| } |
|
|
