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Archive experiment updates 2026-10-08 (18/119)
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{
"kind": "current_weights_occurrence_gradient_geometry",
"arm": "shared",
"base_unique_blocks": 2,
"executed_blocks": 4,
"record_count": 2,
"record_ids": [
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],
"encoded_records_sha256": "89be38ecbd94a64ba7db12c4d43a5850594589f7fee191f149e255c7f6c344cd",
"training_batch_selection": "fixed training-only batch supplied by the caller",
"loss_definition": "mean of per-example mean answer-and-EOS cross entropy",
"dropout_enabled": false,
"parameter_dtype": "torch.float32",
"autocast_enabled": false,
"reference_loss": 10.937704086303711,
"expanded_loss": 10.937704086303711,
"forward_maximum_absolute_error": 0.0,
"loss_absolute_error": 0.0,
"gradient_reconstruction": {
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"maximum_relative_l2_error": 3.227223353537611e-08,
"unique_parameter_tensors": 28,
"actually_tied_parameter_tensors": 24,
"trainable_parameter_coordinates": 14511360,
"interpretation": "Each reference gradient equals the sum over its actual execution aliases. For an untied parameter this is a one-occurrence equality."
},
"groups": [
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{
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{
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"interpretation": "Local derivatives at the same current weights. Attention and MLP reports exclude their LayerNorm parameters; the complete gradient reconstruction includes LayerNorm, embeddings and output readout. Sums for independent modules describe a coordinated perturbation, not an actual shared parameter. No optimizer update, held-out prediction, or causal claim about learning efficiency is made by this diagnostic.",
"diagnostic_wall_seconds": 0.7275393940508366
}