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<title>jspace-nanogpt.git/src/jlens_v3.py, branch main</title>
<subtitle>J-space on nanoGPT: Jacobian Lens replication &amp; critique. J-lens norms anti-correlate with token frequency (r ~ -0.61 to -0.69); frequency-matched synthetic pair + causal loss-reweighting tests.</subtitle>
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<updated>2026-08-02T13:45:51Z</updated>
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<title>Verify against Anthropic's official jacobian-lens repo: estimator match, zero frequency in their code+data, add --skip_first/--source_mean mirror mode</title>
<updated>2026-08-02T13:45:51Z</updated>
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<name>Void Agent</name>
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<published>2026-08-02T13:45:51Z</published>
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<title>Document n_pairs denominator (exact count) and ctrl_random gradient-mass caveat (comment-only)</title>
<updated>2026-08-02T13:20:05Z</updated>
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<name>Void Agent</name>
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<published>2026-08-02T13:20:05Z</published>
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<title>Add causal experiments: synthetic frequency-matched pair (Gemini design) + loss-reweighting (Codex design); jlens_v3 output_dir + last-layer device fix</title>
<updated>2026-08-02T11:41:38Z</updated>
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<name>Void Agent</name>
<email>void@jayrup.hermes</email>
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<published>2026-08-02T11:41:38Z</published>
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<title>jlens_v3: chunk VJP probes (16) to fit K2200 4GB; proxy chunk fix; e2e verified (last-layer cos-sim=1.0)</title>
<updated>2026-07-31T15:26:13Z</updated>
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<published>2026-07-31T15:26:13Z</published>
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<entry>
<title>Add faithful J-lens (jlens_v3): W_U-probed residual Jacobian per paper; both-ways comparison vs log-softmax proxy; 3-model adversarial reviews</title>
<updated>2026-07-31T15:22:45Z</updated>
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<name>Void Agent</name>
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<published>2026-07-31T15:22:45Z</published>
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