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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4814
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    INDEX
    Explanations

    phrases related to dietary choices and lifestyle recommendations

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

    Weight-loss/dieting topics

    np_acts-logits-general · gemini-2.0-flash

    weight loss and health outcomes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     мѣ
    -0.53
     pinball
    -0.51
     ujednoznacz
    -0.50
    ESTAMP
    -0.49
     Roskov
    -0.48
     gesloten
    -0.48
     Oppen
    -0.48
    :✨
    -0.47
     rico
    -0.47
    stry
    -0.47
    POSITIVE LOGITS
     weight
    1.91
     Weight
    1.70
     diet
    1.65
     dieting
    1.63
     WEIGHT
    1.61
    Weight
    1.60
    weight
    1.55
     slimming
    1.44
    WEIGHT
    1.42
    diet
    1.38
    Activations Density 0.417%

    No Known Activations