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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 14-GEMMASCOPE-RES-16K
    6. 4097
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    Explanations

    details related to cooling systems, specifically fans and their efficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NSCoder
    -0.67
    ContentValues
    -0.65
    İstinadlar
    -0.63
    inosa
    -0.63
     <>",
    -0.59
    @__
    -0.58
    Scénario
    -0.56
    webElement
    -0.56
    URLException
    -0.56
    withIdentifier
    -0.55
    POSITIVE LOGITS
     ventilation
    0.81
     airflow
    0.77
     cooling
    0.76
     fan
    0.67
     venti
    0.67
     fans
    0.67
     convection
    0.66
     system
    0.64
    cooling
    0.64
    system
    0.63
    Activations Density 0.294%

    No Known Activations