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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 13560
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    INDEX
    Explanations

    content related to clothing descriptions and contexts

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

    associated with clothing, especially pants

    np_acts-logits-general · gemini-2.0-flash

    pants and waist measurements

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Neck
    -0.53
     Neck
    -0.51
     neck
    -0.51
     pescoço
    -0.50
     necks
    -0.50
     cuello
    -0.48
    rungsseite
    -0.46
     cráneo
    -0.45
     hals
    -0.45
     brazo
    -0.44
    POSITIVE LOGITS
     pants
    0.86
     thighs
    0.85
     jeans
    0.78
     trouser
    0.78
     Pants
    0.77
     trousers
    0.77
    👖
    0.76
     knee
    0.75
     waistband
    0.74
     thigh
    0.74
    Activations Density 0.289%

    No Known Activations