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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

DeepSeek Attention.__init__: o proj

In DeepseekV3Attention.__init__, this statement defines or updates self.o_proj. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.

Donor model implementationhistorical source recovered; expression not executed in this website audit
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donor-eq-fc065a303ef981source-code mathematical expression
self.oproj=nn.Linear(self.numheads∗self.vheaddim,self.hiddensize,bias=config.attentionbias,)self.o_proj = nn.Linear( self.num_heads * self.v_head_dim, self.hidden_size, bias=config.attention_bias, )

Read the equation

In DeepseekV3Attention.__init__, this statement defines or updates self.o_proj. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read self.o_proj as the quantity being defined or updated by this relation.

  2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

Read the surrounding source passage
bias=False,
        )

        self.o_proj = nn.Linear(
            self.num_heads * self.v_head_dim,
            self.hidden_size,
            bias=config.attention_bias,
        )
        self._init_rope()

        self.softmax_scale = self.q_head_dim**(-0.5)
Exact original notation
self.o_proj = nn.Linear(
            self.num_heads * self.v_head_dim,
            self.hidden_size,
            bias=config.attention_bias,
        )

Related builds

Sources & provenance

01
kimi source tree.txt
lines 3012–3016 · Aug 5, 2026
self.o_proj = nn.Linear( self.num_heads * self.v_head_dim, self.hidden_size, bias=config.attention_bias, )
02
DEEPSEEK_R1_COMPLETE.txt
lines 2792–2796 · Aug 5, 2026
self.o_proj = nn.Linear( self.num_heads * self.v_head_dim, self.hidden_size, bias=config.attention_bias, )

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