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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 16215
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    keywords related to rugby matches and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_25/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.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mira
    -0.52
     Numerade
    -0.48
     Pans
    -0.45
    RTSC
    -0.45
     biais
    -0.45
     pistolet
    -0.45
    bibli
    -0.44
     kasarigan
    -0.44
     ElementRef
    -0.42
    RODUCTION
    -0.42
    POSITIVE LOGITS
     rugby
    0.71
     Rugby
    0.66
    rugby
    0.63
    Rugby
    0.55
    🏉
    0.52
    mergeFrom
    0.45
     كومونز
    0.38
     scrum
    0.37
    ⃣
    0.36
     pungkasnya
    0.35
    Activations Density 0.100%

    No Known Activations