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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 10658
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    terms related to weapons and combat scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    炮
    -0.43
    TargetException
    -0.43
    //</
    -0.40
     bombar
    -0.40
     munitions
    -0.39
    removeAttr
    -0.39
    RenderAtEndOf
    -0.37
     missiles
    -0.36
    matchCondition
    -0.35
     Bullet
    -0.35
    POSITIVE LOGITS
     automatic
    0.89
    automatic
    0.81
     Automatic
    0.79
    Automatic
    0.79
     AK
    0.69
     AUTOMATIC
    0.69
    自動
    0.63
     assault
    0.63
     automat
    0.62
     automatique
    0.61
    Activations Density 0.226%

    No Known Activations