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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 1330
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    INDEX
    Explanations

    terms related to food and cooking

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

    Foods served in restaurants

    np_acts-logits-general · gemini-2.0-flash

    food items served with descriptions

    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
    beho
    -0.46
     Schwerpunkt
    -0.45
     flèche
    -0.45
     JpaRepository
    -0.42
     tratto
    -0.42
    homonymie
    -0.40
     mochilas
    -0.40
     capuz
    -0.40
     oamen
    -0.40
     salg
    -0.40
    POSITIVE LOGITS
     served
    0.57
    SourceChecksum
    0.56
    served
    0.50
     servido
    0.50
     fluff
    0.48
    ingeki
    0.44
    astify
    0.43
     plate
    0.43
     Served
    0.43
     DELIVERY
    0.43
    Activations Density 0.140%

    No Known Activations