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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6945
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    Explanations

    references to utensils and their use in food consumption

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

    spoons and related cutlery

    np_acts-logits-general · gemini-2.0-flash

    spoon and eating utensils

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     BoxFit
    -0.61
    principalColumn
    -0.59
    BagConstraints
    -0.56
     Cours
    -0.54
     كومونز
    -0.54
    featureID
    -0.52
     мәкал
    -0.52
     محفوظة
    -0.52
     GenerationType
    -0.52
     calldata
    -0.50
    POSITIVE LOGITS
     spoon
    1.17
     cuchara
    1.02
     cuillère
    0.98
     cucchiaio
    0.98
     sendok
    0.97
     Spoon
    0.94
     spoons
    0.91
    Spoon
    0.91
    spoon
    0.89
    プーン
    0.81
    Activations Density 0.220%

    No Known Activations