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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 14356
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    Explanations

    references to mass in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Numerade
    -0.37
     CanadaChoose
    -0.35
    قایناقلار
    -0.33
     cherchés
    -0.32
    DNEY
    -0.31
    tagHelperRunner
    -0.30
    RTSN
    -0.30
    pherals
    -0.29
    ⤹
    -0.29
    calaure
    -0.28
    POSITIVE LOGITS
     mass
    4.25
    mass
    3.73
     Mass
    3.73
    Mass
    3.64
     MASS
    3.17
    MASS
    3.11
     masses
    2.95
     Massen
    2.91
     massa
    2.91
     masse
    2.84
    Activations Density 0.780%

    No Known Activations