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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. 14116
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    Explanations

    references to specific car models and features

    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
    tagHelperRunner
    -0.63
     Normdatei
    -0.55
    Medida
    -0.52
     للمعارف
    -0.48
    medida
    -0.48
     velikost
    -0.48
    estris
    -0.48
    getSystemService
    -0.48
     ResourceManager
    -0.48
    measure
    -0.47
    POSITIVE LOGITS
     mileage
    0.73
     пробе
    0.71
     registered
    0.70
     rebuilt
    0.69
     ownership
    0.66
     Mileage
    0.64
     totaled
    0.63
     od
    0.62
    Mechan
    0.61
     VIN
    0.61
    Activations Density 0.106%

    No Known Activations