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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 116689
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    INDEX
    Explanations

    references to cereals in various contexts and forms

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

    cereal, cereals, cerebral

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     geograf
    -0.42
    ampiyon
    -0.39
     armp
    -0.39
    ógrafo
    -0.39
     distancia
    -0.39
    abspath
    -0.38
     Robson
    -0.38
     autorisation
    -0.38
     authorship
    -0.37
     lives
    -0.37
    POSITIVE LOGITS
     Cereal
    2.11
     cereal
    2.09
     cereals
    1.74
     Cere
    1.32
     cereales
    1.29
    Cere
    1.23
    cere
    1.20
    ereal
    1.02
     céré
    0.91
     cere
    0.86
    Activations Density 0.002%

    No Known Activations