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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. 5658
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    Explanations

    references to meat dishes and cooking techniques

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

    Types of meat and their preparation

    np_acts-logits-general · gemini-2.0-flash

    meats and poultry

    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
     Kloster
    -0.37
     bardak
    -0.36
     Seeds
    -0.36
     очки
    -0.35
    Seed
    -0.35
     yoga
    -0.35
     kwiat
    -0.35
    Seeds
    -0.34
     seeds
    -0.34
     sucre
    -0.33
    POSITIVE LOGITS
     meat
    1.11
     Meat
    0.98
     meats
    0.94
    Meat
    0.93
    meat
    0.93
     MEAT
    0.93
     vlees
    0.93
     daging
    0.92
     viande
    0.90
    🥩
    0.90
    Activations Density 0.182%

    No Known Activations