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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8075
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    Explanations

    statistical performance metrics in sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CanadaChoose
    -0.40
     utafitiHapana
    -0.38
     fish
    -0.36
     SwitchCompat
    -0.35
     boxing
    -0.34
    璨
    -0.34
    HasIndex
    -0.33
     tel
    -0.33
     Nog
    -0.33
     Golf
    -0.33
    POSITIVE LOGITS
     lacrosse
    0.71
     Lacrosse
    0.64
    🥍
    0.64
     goalie
    0.56
     lapangan
    0.54
     goalkeeper
    0.54
     pól
    0.54
     attacker
    0.54
     MotionEvent
    0.53
    Lax
    0.53
    Activations Density 0.093%

    No Known Activations