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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 87835
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    Explanations

    descriptions of food quality and variety in culinary contexts

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

    food descriptions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    -------------</
    -0.60
    enumi
    -0.56
    ésult
    -0.53
     nonUne
    -0.52
    DockStyle
    -0.52
    damping
    -0.51
     المعيارى
    -0.51
    hidro
    -0.51
     ruines
    -0.50
     lenker
    -0.50
    POSITIVE LOGITS
     inventive
    0.60
     beautifully
    0.57
     creative
    0.57
     skillfully
    0.57
     fresh
    0.54
     flavors
    0.54
     taste
    0.52
     quality
    0.52
     creatively
    0.52
     exquisitely
    0.52
    Activations Density 0.011%

    No Known Activations