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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. 15821
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    references to various types of cabinets

    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
     InputDecoration
    -0.51
     plug
    -0.49
     defect
    -0.48
    icycle
    -0.47
     BeautifulSoup
    -0.47
     vettor
    -0.47
     conf
    -0.46
     direction
    -0.45
    ßerdem
    -0.45
    澄
    -0.45
    POSITIVE LOGITS
    \{\\
    0.58
    Acquisition
    0.55
    #
    0.52
     Acquisition
    0.50
     acquisition
    0.48
    comuna
    0.46
     Angebote
    0.46
    acquisition
    0.45
    cabinet
    0.44
    mergeFrom
    0.44
    Activations Density 0.264%

    No Known Activations