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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 0-GEMMASCOPE-RES-65K
    11. 7196
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    Explanations

    terms related to vehicle models and their descriptions, particularly emphasizing bold formatting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_65k/average_l0_73
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    contentLoaded
    -0.78
    ⓧ
    -0.69
    <?
    -0.66
    basicConfig
    -0.65
    UnusedPrivate
    -0.64
    ."],
    -0.63
     plafond
    -0.61
     تضيفلها
    -0.60
    bitField
    -0.59
    __.__
    -0.57
    POSITIVE LOGITS
     Vehicle
    0.85
     dares
    0.82
    Vehicle
    0.76
     Vehicles
    0.71
     daring
    0.70
     berani
    0.67
     dared
    0.66
    +#+#
    0.66
     Dare
    0.66
     wager
    0.63
    Activations Density 0.053%

    No Known Activations