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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 11148
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    Explanations

    references to vehicle components, particularly focusing on the front section

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CODES
    -0.62
     Autorizaciones
    -0.62
     Numerade
    -0.59
     Reisedaten
    -0.59
     Paglinawan
    -0.57
    oa̍t
    -0.57
    كويكب
    -0.57
    IsMutable
    -0.56
     AssemblyCulture
    -0.55
     BufferedWriter
    -0.55
    POSITIVE LOGITS
    ########.
    0.41
     []:
    0.34
     extra
    0.34
    特
    0.33
    基本
    0.31
    huur
    0.31
    >{@
    0.31
     fuzz
    0.31
     InputDecoration
    0.30
    ">//
    0.30
    Activations Density 0.255%

    No Known Activations