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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 7247
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    Explanations

    references to dining experiences and meals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ditemp
    -0.34
     syke
    -0.34
     élo
    -0.34
    decorate
    -0.33
     ministerio
    -0.33
     مباش
    -0.33
     bertanggung
    -0.32
    REQUIRE
    -0.32
     kağıdı
    -0.31
    minecraftforge
    -0.31
    POSITIVE LOGITS
     dinner
    2.52
     lunch
    2.48
     Dinner
    2.11
    dinner
    2.09
    Dinner
    2.09
     Lunch
    2.06
    lunch
    2.06
    Lunch
    2.02
     DINNER
    1.98
     dinners
    1.94
    Activations Density 0.305%

    No Known Activations