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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5686
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    Explanations

    elements related to project execution and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.48
    FirstResponder
    -0.47
     solde
    -0.45
    ArrowToggle
    -0.45
     NSCoder
    -0.44
     rétro
    -0.42
    JNIEnv
    -0.42
    ftagPool
    -0.40
     retro
    -0.40
    carbonyl
    -0.40
    POSITIVE LOGITS
     fastest
    0.67
    Time
    0.63
    Speed
    0.63
     speed
    0.63
     faster
    0.62
    Fastest
    0.62
     Time
    0.61
     Fastest
    0.61
     timed
    0.59
    Tiempo
    0.57
    Activations Density 0.306%

    No Known Activations