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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9638
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    references to significant events and honors in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InputBorder
    -0.57
     AssemblyCulture
    -0.56
     fondamental
    -0.51
     Compens
    -0.51
     iload
    -0.50
    aggia
    -0.48
     Compensation
    -0.48
    checs
    -0.48
    TargetException
    -0.47
     torne
    -0.47
    POSITIVE LOGITS
     sideline
    0.96
     dugout
    0.83
     sidelines
    0.80
     warmup
    0.73
     warm
    0.73
     cheering
    0.73
     scoreboard
    0.72
     halftime
    0.71
     crowd
    0.71
    WARM
    0.71
    Activations Density 0.198%

    No Known Activations