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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11487
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    Explanations

    words related to containers and serving items, particularly in a food or beverage context

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

    relating to containers

    np_acts-logits-general · gemini-2.0-flash

    filled containers, vessels

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.44
    Рабо
    -0.40
    Personensuche
    -0.40
     getProperty
    -0.39
    featureID
    -0.39
    EditorBrowsable
    -0.37
    webElementXpaths
    -0.37
    emlrt
    -0.36
     bint
    -0.36
     onResponse
    -0.36
    POSITIVE LOGITS
    fuls
    0.82
    ful
    0.77
    IContainer
    0.62
     FILLER
    0.54
     Bucket
    0.51
    CppMethod
    0.50
     full
    0.50
     brimming
    0.50
     Lid
    0.49
    celain
    0.49
    Activations Density 0.444%

    No Known Activations