sync experiments

dust_mechanistic/LOG.md

@@ -266,3 +266,17 @@ Same ordering at init. Same # of forward passes as base. -> promote allR to full
 - lr .175 is a clear optimum: .21 goes unstable early, and .14 is too slow.
 - Next: exact-gradient oracle at 10M under DUST's optimizer (lr .175, lr .175 with lm_head ×0.5, lr .10). This tells
   whether the remaining ~0.07 gap to backprop SGD (5.0105) is estimator error or the optimizer/lr groups.
+
+## 2026-10-11 — 10M exact-gradient oracle under DUST's optimizer groups (`runs/or10M_*`)
+| oracle (exact backprop grads) | best val | test | val@100 | max train after step 5 |
+|---|---|---|---|---|
+| lr .175 | 5.1081 | 5.0949 | 7.011 | 8.69 (early instability) |
+| lr .175, lm_head ×0.5 | **5.0588** | **5.0447** | 5.860 | 7.47 |
+| lr .10 | 5.0742 | 5.0602 | 5.784 | 7.47 |
+- KEY: under DUST's optimizer groups, exact gradients reach only ~5.06. The best estimator (CV quarter e40, two-seed mean
+  5.0776) is within ~0.02 of that ceiling, about the seed noise. Plain exact grads at lr .175 are WORSE than the estimator
+  (estimator noise appears to stabilize the early lm_head direction).
+- The remaining gap to backprop SGD (5.0105) is therefore mostly in the optimizer config. backprop.py uses
+  lr .2 for all groups except wte (1000), while DUST uses lambdas .03 and value_embeds .3.
+- Next: the estimator under backprop's lr groups (lr .2; and lr .175 with the same group ratios), plus an oracle with
+  backprop groups as a sanity check (should reproduce ~5.01).

dust_mechanistic/logs/f10M_e40_bpg_lr175.log

@@ -0,0 +1,5 @@
+10M: 610 steps opts={'analytic_v': 1, 'analytic_gate': 1, 'fc_from_writer': 'replace', 'hub_from_writer': 'replace', 'v_gamma': 1.0, 'analytic_qk': 1, 'qk_gamma': 1.0, 'analytic_head': 1, 'writer_cv': 1, 'wte_cv': 1, 'sigma': 0.8, 'lr_mult': {'lambdas': 7.619, 've': 0.7619}, 'recipe': {'writers': [22, 18, 10, 6, 4, 2, 2, 2], 'hidden': [0, 0, 0, 0, 0, 0, 0, 0], 'hubs': [0, 0, 0, 0, 0, 0, 0, 0], 'embedding': 40}} val=8.3182
+{"step": 1, "train_loss": 8.3181734085083, "elapsed_seconds": 8.76621487900411, "gnorm": {"resid_lambdas": 0.00143, "x0_lambdas": 0.00125, "transformer": 0.00037, "c_q": 0.00261, "c_k": 0.00261, "c_v": 0.01766, "c_proj": 0.05492, "c_fc": 0.04413, "ve_gate": 2e-05, "lm_head": 0.89047, "value_embeds": 0.00012}, "beta": [[1.004], [1.004], [0.987], [0.99], [0.981], [0.987], [0.98], [0.978], [0.993], [0.986], [0.99], [0.976], [0.985], [0.977], [0.982], [0.984], [1.408]], "val_loss": 8.196058609906364}
+{"step": 2, "train_loss": 8.195674896240234, "elapsed_seconds": 21.33928140900389, "gnorm": {"resid_lambdas": 0.1302, "x0_lambdas": 0.07523, "transformer": 0.00053, "c_q": 0.00414, "c_k": 0.00414, "c_v": 0.06008, "c_proj": 0.13221, "c_fc": 0.08103, "ve_gate": 4e-05, "lm_head": 0.88509, "value_embeds": 0.00033}, "beta": [[1.078], [1.094], [1.136], [1.132], [1.116], [1.088], [1.089], [1.077], [1.054], [1.035], [1.046], [1.033], [1.025], [0.992], [0.999], [0.984], [1.482]]}
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dust_mechanistic/logs/f10M_e40_bpg_lr20.log

@@ -0,0 +1,5 @@
+10M: 610 steps opts={'analytic_v': 1, 'analytic_gate': 1, 'fc_from_writer': 'replace', 'hub_from_writer': 'replace', 'v_gamma': 1.0, 'analytic_qk': 1, 'qk_gamma': 1.0, 'analytic_head': 1, 'writer_cv': 1, 'wte_cv': 1, 'sigma': 0.8, 'lr_mult': {'lambdas': 6.6667, 've': 0.66667}, 'recipe': {'writers': [22, 18, 10, 6, 4, 2, 2, 2], 'hidden': [0, 0, 0, 0, 0, 0, 0, 0], 'hubs': [0, 0, 0, 0, 0, 0, 0, 0], 'embedding': 40, 'lr': 0.2}} val=8.3182
+{"step": 1, "train_loss": 8.3181734085083, "elapsed_seconds": 8.814868645000388, "gnorm": {"resid_lambdas": 0.00143, "x0_lambdas": 0.00125, "transformer": 0.00037, "c_q": 0.00261, "c_k": 0.00261, "c_v": 0.01766, "c_proj": 0.05492, "c_fc": 0.04413, "ve_gate": 2e-05, "lm_head": 0.89047, "value_embeds": 0.00012}, "beta": [[1.004], [1.004], [0.987], [0.99], [0.981], [0.987], [0.98], [0.978], [0.993], [0.986], [0.99], [0.976], [0.985], [0.977], [0.982], [0.984], [1.408]], "val_loss": 8.178751945495605}
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dust_mechanistic/logs/or10M_bpg_lr20.log

@@ -0,0 +1,64 @@
+10M: 610 steps opts={'oracle_only': 1, 'lr_mult': {'lambdas': 6.6667, 've': 0.66667}, 'recipe': {'lr': 0.2}} val=8.3182
+{"step": 1, "train_loss": 8.159858703613281, "elapsed_seconds": 0.24336516600305913, "val_loss": 8.178550944608801}
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dust_mechanistic/logs/or10M_lr10.log

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+Best validation: 5.0588; test: 5.0447

dust_mechanistic/runs/f10M_e40_bpg_lr175/config.json

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dust_mechanistic/runs/f10M_e40_bpg_lr175/metrics.jsonl

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dust_mechanistic/runs/f10M_e40_bpg_lr20/config.json

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dust_mechanistic/runs/f10M_e40_bpg_lr20/metrics.jsonl

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dust_mechanistic/runs/or10M_bpg_lr20/config.json

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dust_mechanistic/runs/or10M_bpg_lr20/metrics.jsonl

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dust_mechanistic/runs/or10M_lr10/metrics.jsonl

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