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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 89157
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    Explanations

    concepts related to breakfast and its effects on metabolism and exercise performance

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

    meals and intervals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    archiviato
    -0.43
    ⓧ
    -0.41
     militia
    -0.40
     anonymously
    -0.37
    IUrlHelper
    -0.37
     Photocase
    -0.36
    invasion
    -0.35
     CURIAM
    -0.35
     Militia
    -0.35
     ngành
    -0.34
    POSITIVE LOGITS
     meal
    0.67
     eaten
    0.66
     eating
    0.66
     dinner
    0.64
     meals
    0.60
     Eating
    0.60
    󠁢
    0.59
     snack
    0.58
     supper
    0.58
    Dinner
    0.56
    Activations Density 0.063%

    No Known Activations