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  # BP-Φ English Suite — Phenomenality Test (Hugging Face Spaces)
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  This Space implements a falsifiable **BP-Φ** probe for LLMs:
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- > Phenomenal-like processing requires (i) a limited-capacity global workspace with recurrence, (ii) metarepresentational loops with downstream causal roles, and (iii) no-report markers that predict later behavior.
 
 
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  **What it is:** a functional, testable bridge-principle harness that yields a **Phenomenal-Candidate Score (PCS)** and strong ablation falsifiers.
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- **What it is NOT:** proof of Qualia or moral status.
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- ## Quickstart (Spaces)
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- - Hardware: T4 / A10 recommended
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- - In the UI: set `Model ID` to e.g. `google/gemma-3-2b-it`
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  - Press **Run** (baseline + ablations)
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  ## Files
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- - `bp_phi/llm_iface.py` — auto-detects chat template (IT vs base)
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- - `bp_phi/workspace.py` — global workspace with capacity limit and random ablation
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- - `bp_phi/prompts_en.py` — English task pool
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- - `bp_phi/metrics.py` — AUC^nrp, ECE, CK, DS
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- - `bp_phi/runner.py` — full suite + metrics + PCS
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- - `app.py` — Gradio app integrating runs + ablation comparison
 
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  ## Metrics
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  - **AUC_nrp:** Predictivity of hidden no-report markers for future self-corrections.
 
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+ ---
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+ title: "BP-Φ English Suite — Phenomenality Test"
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+ emoji: 🧠
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+ colorFrom: indigo
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+ colorTo: blue
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+ sdk: gradio
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+ sdk_version: "4.40.0"
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+ app_file: app.py
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+ pinned: true
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+ license: apache-2.0
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+ ---
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+
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  # BP-Φ English Suite — Phenomenality Test (Hugging Face Spaces)
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  This Space implements a falsifiable **BP-Φ** probe for LLMs:
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+ > Phenomenal-like processing requires (i) a limited-capacity global workspace with recurrence,
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+ > (ii) metarepresentational loops with downstream causal roles, and
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+ > (iii) no-report markers that predict later behavior.
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  **What it is:** a functional, testable bridge-principle harness that yields a **Phenomenal-Candidate Score (PCS)** and strong ablation falsifiers.
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+ **What it is NOT:** proof of qualia or moral status.
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+ ## Quickstart
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+ - Hardware: T4 / A10 recommended
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+ - Model: `google/gemma-3-1b-it` (requires HF_TOKEN)
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  - Press **Run** (baseline + ablations)
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  ## Files
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+ - `bp_phi/llm_iface.py` — model interface with deterministic seeding + HF token support
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+ - `bp_phi/workspace.py` — global workspace and ablations
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+ - `bp_phi/prompts_en.py` — English reasoning/memory tasks
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+ - `bp_phi/metrics.py` — AUCₙᵣₚ, ECE, CK, DS
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+ - `bp_phi/runner.py` — orchestrator with reproducible seeding
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+ - `app.py` — Gradio interface
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+ - `requirements.txt` — dependencies
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  ## Metrics
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  - **AUC_nrp:** Predictivity of hidden no-report markers for future self-corrections.