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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 11715
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    Explanations

    references to various types of meat and cooking methods

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

    meat

    np_acts-logits-general · gemini-2.0-flash

    meat, poultry, and fish

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
    InitVars
    -0.42
     poussière
    -0.41
     seeds
    -0.40
     Seed
    -0.40
     seed
    -0.38
     Seeds
    -0.34
    setStart
    -0.34
     jang
    -0.34
    月号
    -0.34
    Seed
    -0.34
    POSITIVE LOGITS
     meat
    1.10
    Meat
    0.94
     Meat
    0.93
    meat
    0.92
     MEAT
    0.90
     meats
    0.88
     steaks
    0.83
     vlees
    0.83
    🥩
    0.82
    🍖
    0.79
    Activations Density 0.201%

    No Known Activations