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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 33235
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    Explanations

    phrases related to food consumption and eating habits

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

    eating and hunger

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InjectAttribute
    -0.49
    +#+
    -0.49
    Begriffsklä
    -0.46
     ujednoznacz
    -0.45
    +#+#
    -0.45
    POSE
    -0.44
    ConstraintMaker
    -0.43
    TabIndex
    -0.43
    DoubleQuotes
    -0.43
     Computational
    -0.43
    POSITIVE LOGITS
     eating
    0.64
    Eating
    0.50
     diet
    0.48
     diets
    0.47
     Eating
    0.46
     eaten
    0.46
     famine
    0.46
     hambre
    0.45
     eaters
    0.44
     hungry
    0.44
    Activations Density 0.040%

    No Known Activations