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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 2126
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    Explanations

    the word "which" and its variations in context

    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-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     חיצוניים
    -0.78
    typeorm
    -0.77
    évaluateur
    -0.77
     ddelweddau
    -0.67
    Referanser
    -0.65
     发表于
    -0.64
    Външни
    -0.62
    stateProvider
    -0.62
     समीक्षक
    -0.61
    kháu
    -0.61
    POSITIVE LOGITS
     Which
    0.95
    Which
    0.91
     lesquelles
    0.90
     denen
    0.85
     whereof
    0.84
    which
    0.82
     which
    0.82
     lesquels
    0.80
     WHICH
    0.80
     laquelle
    0.78
    Activations Density 0.164%

    No Known Activations