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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. 4157
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    information related to player participation and contractual statuses in sports

    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
    Personendaten
    -0.37
    :✨
    -0.36
     meta
    -0.33
    Ap
    -0.33
    meta
    -0.32
    挿
    -0.32
     gev
    -0.32
     triomphe
    -0.31
    formula
    -0.30
     Ap
    -0.29
    POSITIVE LOGITS
     training
    1.09
     workouts
    1.04
     drills
    0.97
     camp
    0.97
     Training
    0.92
     practice
    0.91
     workout
    0.90
     trainings
    0.90
    training
    0.88
     entrenamiento
    0.87
    Activations Density 0.193%

    No Known Activations