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Fireworks AI probes Kimi K3 and Qwen 3.5-9B models with Anthropic's J-Lens

Fireworks AI has utilized Anthropic's J-Lens probe to examine the internal states of two open-source models, Kimi K3 and Qwen 3.5-9B. Their research indicates that these models prepare the necessary vocabulary before processing any input tokens. This investigation offers insights into the internal workings and pre-computation strategies of large language models. AI

IMPACT Provides insight into how LLMs prepare vocabulary internally before token processing.

RANK_REASON Research using a probe tool on open models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on X — Fireworks (inference infra) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Fireworks AI probes Kimi K3 and Qwen 3.5-9B models with Anthropic's J-Lens

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Signal score
0 / 100
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Tool
Research using a probe tool on open models. [lever_c_demoted from research: ic=1 ai=1.0]
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, other
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High
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Story freshness
51 days old
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COVERAGE [1]

  1. X — Fireworks (inference infra) TIER_1 English(EN) · FireworksAI_HQ ·

    We tested out Anthropic’s J-Lens probe at two open models: Kimi K3 and Qwen 3.5-9B.

    We tested out Anthropic’s J-Lens probe at two open models: Kimi K3 and Qwen 3.5-9B. By looking at their internal states, we found that the models are setting up the right vocabulary before a single token hits the page. Check out the research: https://t.co/DSi0AVBWsr https://t.c…