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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 4080
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    references to sports training and preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    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
    -0.75
    InjectAttribute
    -0.60
    󠁣
    -0.56
    DllImport
    -0.55
    fjspx
    -0.54
    ThroughAttribute
    -0.53
     linho
    -0.53
    şört
    -0.52
    MessageOf
    -0.52
     EconPapers
    -0.52
    POSITIVE LOGITS
     training
    0.66
     PRACTICE
    0.62
     practice
    0.60
    training
    0.59
    Practice
    0.58
    Training
    0.57
    練習
    0.57
    PRACTICE
    0.57
     latihan
    0.55
    practice
    0.55
    Activations Density 0.238%

    No Known Activations