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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. 66609
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    Explanations

    references to specific types of female undergarments, particularly bras and corsets

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

    garments and supports

    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
    Климат
    -0.48
    Autoritní
    -0.47
    
    -0.47
    цезда
    -0.45
    }}]{
    -0.45
    Tē
    -0.44
    الحياه
    -0.44
    ']],
    -0.44
    sounding
    -0.42
    ')))
    -0.42
    POSITIVE LOGITS
     corset
    0.79
     headband
    0.64
     bandage
    0.54
     belt
    0.52
    UnusedPrivate
    0.51
     ceinture
    0.50
     strap
    0.49
     armband
    0.49
     straps
    0.48
     bodice
    0.48
    Activations Density 0.020%

    No Known Activations