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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 9188
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    INDEX
    Explanations

    references to traditional dishes and culinary experiences

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

    Food-related opinions or descriptions

    np_acts-logits-general · gemini-2.0-flash

    food taste and preparation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glMatrixMode
    -0.51
     fusca
    -0.51
     capuz
    -0.50
     queſta
    -0.49
     vettoriale
    -0.48
     bluzka
    -0.44
     previs
    -0.44
     saveiro
    -0.44
     wektor
    -0.43
     Obispo
    -0.43
    POSITIVE LOGITS
     delicious
    0.93
     taste
    0.88
     tastes
    0.88
     cooked
    0.87
     tasted
    0.83
     flavored
    0.82
     flavor
    0.82
     tasting
    0.81
     tasty
    0.80
     culinary
    0.77
    Activations Density 0.430%

    No Known Activations