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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5606
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    Explanations

    elements related to sports and athletic performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCulture
    -0.48
     ujednoznacz
    -0.40
    ModelAdmin
    -0.39
     فريبيس
    -0.39
    TabIndex
    -0.36
    inSlope
    -0.36
    rxjs
    -0.36
     createStore
    -0.36
    usercontent
    -0.35
     actionPerformed
    -0.35
    POSITIVE LOGITS
     onstage
    1.27
     field
    1.16
     onscreen
    1.03
     lapangan
    1.00
     battlefield
    0.94
     FIELD
    0.93
    场上
    0.91
    field
    0.91
     Field
    0.90
    フィールド
    0.88
    Activations Density 0.264%

    No Known Activations