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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15853
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    terms related to allocation and resource management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WireFormatLite
    -0.48
    <bos>
    -0.43
     Pip
    -0.42
     Tar
    -0.40
    gs
    -0.40
     Log
    -0.40
    ver
    -0.39
    blu
    -0.39
    ses
    -0.39
     Gra
    -0.38
    POSITIVE LOGITS
     allocated
    0.98
     allocate
    0.94
     allocation
    0.93
    allocation
    0.91
     Allocation
    0.89
    Allocation
    0.85
     allocations
    0.85
     allocating
    0.84
     ALLOC
    0.81
    Allocated
    0.77
    Activations Density 0.200%

    No Known Activations