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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 2174
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    keywords related to performance improvement and efficiency in technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     يتيمه
    -0.57
     <<<<<<<<<<<<<<
    -0.54
     дописавши
    -0.53
     NSCoder
    -0.51
    MemoryWarning
    -0.49
    lapsingToolbar
    -0.47
     Signalez
    -0.47
    Parcelize
    -0.46
     مرئيه
    -0.45
     utafitiHapana
    -0.44
    POSITIVE LOGITS
     efficiency
    0.53
     performance
    0.49
     rendimiento
    0.45
     efficacité
    0.43
     efficient
    0.41
     eficiencia
    0.40
     performances
    0.40
     Performance
    0.39
     efficiencies
    0.39
     Efficiency
    0.38
    Activations Density 0.850%

    No Known Activations