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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 7037
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    INDEX
    Explanations

    references to dietary habits and food consumption patterns

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

    Food groups or dietary patterns

    np_acts-logits-general · gemini-2.0-flash

    healthy eating choices

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    原始内容存档于
    -0.67
    __*/
    -0.66
     protoimpl
    -0.62
    MENAFN
    -0.60
    TypedDataSet
    -0.58
     intangible
    -0.57
    AddTagHelper
    -0.57
    loxy
    -0.56
    ₽
    -0.56
     تانيه
    -0.56
    POSITIVE LOGITS
     moderate
    0.62
     moderation
    0.58
     protein
    0.56
     frequent
    0.56
     Moderate
    0.53
    <!--[
    0.52
     consumption
    0.51
     eating
    0.51
     low
    0.50
     weekly
    0.49
    Activations Density 0.193%

    No Known Activations