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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 4016
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    Explanations

    references to specific vehicle makes and models, especially in relation to recalls or safety issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Einzelnachweise
    -0.61
    twimg
    -0.59
    dighet
    -0.59
     EconPapers
    -0.58
    WEBPACK
    -0.57
    addCriterion
    -0.54
    protoimpl
    -0.53
    ographia
    -0.52
    ographique
    -0.52
    Hochspringen
    -0.50
    POSITIVE LOGITS
     Volkswagen
    1.05
     Nissan
    1.02
     Ford
    0.97
    Volkswagen
    0.94
     Chevrolet
    0.94
    Mercedes
    0.92
     Mercedes
    0.92
     VW
    0.91
     Toyota
    0.91
     Mazda
    0.90
    Activations Density 0.348%

    No Known Activations