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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. 35991
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    Explanations

    references to wear and its related effects in mechanical or technical contexts

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

    wear and tear

    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
    IntoConstraints
    -0.92
     المعيارى
    -0.89
     surla
    -0.88
    PyExc
    -0.87
     <<<<<<<<<<<<<<
    -0.83
    ########.
    -0.78
    ftagPool
    -0.78
     Signalez
    -0.78
    LLocation
    -0.77
    yntaxException
    -0.76
    POSITIVE LOGITS
     wear
    0.68
     desgaste
    0.60
    Wear
    0.56
     Wear
    0.54
     worn
    0.53
     fatiga
    0.49
    worn
    0.46
    usure
    0.45
     WEAR
    0.44
     abrasion
    0.43
    Activations Density 0.008%

    No Known Activations