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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 8823
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    keywords related to unhealthy lifestyle choices and dietary habits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 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
    MockMvc
    -0.46
     Frank
    -0.46
    corder
    -0.45
    lier
    -0.45
     Bo
    -0.45
     Tack
    -0.45
    rasco
    -0.44
    come
    -0.44
    encer
    -0.44
     flavor
    -0.44
    POSITIVE LOGITS
     chrétien
    0.49
     dieta
    0.48
     Edad
    0.47
     alimentación
    0.47
     religieuses
    0.46
     productivo
    0.46
     pagado
    0.46
     húmedo
    0.45
     navideño
    0.44
     extranjero
    0.44
    Activations Density 0.237%

    No Known Activations