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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13867
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    various types of sports and their associated terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCulture
    -0.52
    dafx
    -0.47
    RegistryLite
    -0.44
    erunner
    -0.44
    optionalTypeArgs
    -0.44
    RTRS
    -0.42
     <=",
    -0.41
    omitempty
    -0.40
     propOrder
    -0.40
    makeText
    -0.39
    POSITIVE LOGITS
     coaching
    0.52
     enthusiasts
    0.50
     Coaching
    0.50
     enthusiast
    0.47
     tournaments
    0.46
    Coaching
    0.46
     fans
    0.45
    coaching
    0.45
     coach
    0.45
     betting
    0.44
    Activations Density 0.227%

    No Known Activations