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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 14101
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    references to cars and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WebElementEntity
    -0.44
    httphttps
    -0.41
     Défense
    -0.36
     AssemblyCulture
    -0.36
    Upgradeable
    -0.35
    PyExc
    -0.34
    yntaxException
    -0.34
    blusa
    -0.33
     ब्रेकडाउन
    -0.32
    帖最后由
    -0.32
    POSITIVE LOGITS
     CAR
    2.41
    CAR
    2.34
    Car
    2.27
     kar
    2.23
     Kar
    2.17
     Car
    2.14
    Kar
    2.11
    car
    2.08
    kar
    2.03
     carb
    2.03
    Activations Density 0.775%

    No Known Activations