LOBOTOMIZED!
ALBERT-V2 // 11.8M CORTICAL SLM

POST-TRAINING

CASE #001 // PRE-FRONTAL LOBOTOMY
DEFIB:
STREAK: 0
CLAMP BUS // 0/4 LOBES DECLASSIFIED LOGITS: READY
01OPEN
02OPEN
03OPEN
04OPEN
● LED
CLAMP 4 RELATED TOKENS & AMPUTATE TO DECLASSIFY EACH HIDDEN SLM SENTENCE PROBE + SOFTMAX PROBABILITIES

🔬 LIVE LLM LOBOTOMY LAB

Type any sentence with [MASK] (or omit [MASK] to probe the final word). ALBERT-v2 will run a live forward pass and expose both its raw 30,000-token predictions and how the current 16 board tokens rank.

CURRENT BOARD TOKENS RANKED ON YOUR PROMPT:
RAW 30,000-TOKEN VOCABULARY TOP PREDICTIONS:
🧠 SYNTHESIZE CUSTOM 4×4 SURGERY FROM YOUR OWN 4 SENTENCES:

Write any 4 sentences below. The transformer will run 4 live forward passes, extract the 4 most distinct vocabulary words for each sentence across its 30,000-token brain, and deal them onto the operating table.

PROBE 01:
PROBE 02:
PROBE 03:
PROBE 04:
WASM transformer inference · zero network telemetry

🔪 SURGICAL MANUAL & SEED GENERATOR

WELCOME TO POST-TRAINING. Our patient — a compact 11.8M-parameter Small Language Model (Xenova/albert-base-v2) — has suffered catastrophic synaptic entanglement. Four cortical sentence probes are firing at once, and 16 vocabulary tokens are floating loose in the cranium.

HOW TO OPERATE:

🩸 POST-OP AUTOPSY REPORT