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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. 12023
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    Explanations

    various forms of clothing and attire

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

    about clothing or garments

    np_acts-logits-general · gemini-2.0-flash

    dress and clothing

    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
    moduleId
    -0.46
    ApiProperty
    -0.44
     Hv
    -0.44
     Tito
    -0.44
    contentLoaded
    -0.43
    MATT
    -0.42
    ≽
    -0.41
     parseFrom
    -0.40
    setcounter
    -0.40
     Rodney
    -0.40
    POSITIVE LOGITS
    ineno
    0.52
    fjspx
    0.50
    Dress
    0.49
    Clothes
    0.46
     Clothes
    0.46
     Dress
    0.45
     Kleider
    0.44
     seragam
    0.44
     poupée
    0.44
    Hochspringen
    0.42
    Activations Density 0.472%

    No Known Activations