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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 59833
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    Explanations

    references to clothing, including actions related to wearing

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

    wearing or worn

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ChildScrollView
    -0.75
     nakalista
    -0.64
    حياته
    -0.63
     '\\;'
    -0.61
    脚注の使い方
    -0.61
    хьтан
    -0.59
    FunctionFlags
    -0.59
    Hentet
    -0.59
    featureID
    -0.56
     لينك
    -0.56
    POSITIVE LOGITS
     wear
    1.09
     Wear
    1.02
     wearing
    1.01
    Wear
    0.98
     WEAR
    0.93
     wears
    0.91
     worn
    0.85
     wore
    0.84
    wearing
    0.82
     wearable
    0.82
    Activations Density 0.024%

    No Known Activations