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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. 4577
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    Explanations

    specific types of food and dishes mentioned in a culinary context

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

    food and cuisine

    np_acts-logits-general · gemini-2.0-flash

    chicken dishes

    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
     kontinu
    -0.46
     témoignage
    -0.42
     détermination
    -0.42
     politiche
    -0.42
    éndolo
    -0.40
     cejas
    -0.40
     inneces
    -0.40
     capuz
    -0.39
     costuras
    -0.38
     confirmer
    -0.38
    POSITIVE LOGITS
     salad
    0.76
     grilled
    0.75
     fried
    0.69
     salads
    0.68
     sandwiches
    0.68
     grill
    0.67
     barbecue
    0.66
     roasted
    0.66
     pasta
    0.66
     barbe
    0.65
    Activations Density 0.210%

    No Known Activations