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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 11796
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    terms related to exercise intensity and recovery techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.43
     barnen
    -0.37
    worst
    -0.37
     Sterne
    -0.36
     ску
    -0.36
    KommentareTeilen
    -0.36
    Worse
    -0.36
     bordados
    -0.36
    vergleich
    -0.36
     renseignements
    -0.36
    POSITIVE LOGITS
    QMetaType
    0.52
     autorytatywna
    0.50
    Carriera
    0.48
     workouts
    0.46
    GTCX
    0.45
    workout
    0.44
    endphp
    0.44
    ganu
    0.44
     трени
    0.43
    Training
    0.43
    Activations Density 0.098%

    No Known Activations