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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 60956
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    Explanations

    references to dust and particulate matter in various contexts

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

    dust and airborne particles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagext
    -0.42
    cydow
    -0.40
     velkommen
    -0.39
    ressum
    -0.39
    igno
    -0.38
    Життєпис
    -0.38
    vors
    -0.38
    }]
    -0.38
    hols
    -0.37
    kole
    -0.37
    POSITIVE LOGITS
     dust
    0.68
     poussière
    0.65
    Dust
    0.57
    dust
    0.55
     partículas
    0.53
     Dust
    0.52
     polvere
    0.52
     DUST
    0.52
    pirable
    0.50
     polvo
    0.49
    Activations Density 0.025%

    No Known Activations