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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. 100583
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    Explanations

    words related to body image and physical appearance, particularly focusing on varying body types

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

    skinny, thin, tiny, 瘦, die

    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
     Utf
    -0.55
     DbSet
    -0.53
     ([
    -0.49
    ModelSerializer
    -0.49
    %
    -0.49
     setId
    -0.48
    Eid
    -0.47
     setIs
    -0.47
     [(
    -0.46
    SBATCH
    -0.46
    POSITIVE LOGITS
     skinny
    1.98
    skinny
    1.90
     Skinny
    1.79
    Skinny
    1.77
     thin
    0.66
    Thin
    0.62
    瘦
    0.60
     SKIN
    0.59
     Kinney
    0.58
    tiny
    0.57
    Activations Density 0.001%

    No Known Activations