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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9188
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    Explanations

    references to competitive cooking shows and their participants

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

    followed by names or titles

    np_acts-logits-general · gemini-2.0-flash

    Michelin chef and haute cuisine

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    🥤
    -0.66
    psack
    -0.59
    ariato
    -0.58
     subgraph
    -0.54
    afone
    -0.53
    Filmografia
    -0.53
    ☕
    -0.51
    seling
    -0.50
    CROSSTALK
    -0.50
    anias
    -0.49
    POSITIVE LOGITS
     Michelin
    0.86
     chef
    0.83
     chefs
    0.81
     Chef
    0.76
     éto
    0.76
     Chefs
    0.75
    Chef
    0.75
     menus
    0.74
     michelin
    0.70
     somme
    0.70
    Activations Density 0.172%

    No Known Activations