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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 15289
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    INDEX
    Explanations

    specific car brands and model names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Nissan or Pathfinder

    np_acts-logits-general · gemini-2.0-flash

    Nissan cars and models

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Bronnen
    -0.64
     HasFactory
    -0.63
    bellar
    -0.62
    GEBURTSDATUM
    -0.58
    Nazionale
    -0.54
     Shar
    -0.53
    oléon
    -0.53
     poliéster
    -0.53
     Jonny
    -0.52
    astify
    -0.52
    POSITIVE LOGITS
    ########.
    0.60
     gái
    0.47
     Вікі
    0.47
    (:,:,
    0.47
    Попис
    0.46
    shadowOpacity
    0.46
    عرِّف
    0.46
    yii
    0.45
    EndTag
    0.44
    ್ಯ
    0.43
    Activations Density 0.412%

    No Known Activations