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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 4032
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    Explanations

    certain types of specialized items and their descriptions in a commercial context, particularly focusing on marine engineering and sewing materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Espèce
    -0.50
    Sucesor
    -0.46
     Gegenwart
    -0.46
     trekken
    -0.46
    inerja
    -0.45
     barbati
    -0.45
    */].
    -0.44
    sianic
    -0.44
     Beſ
    -0.43
     Ră
    -0.43
    POSITIVE LOGITS
    ंदीखरीदारी
    0.43
    enumii
    0.41
    AndEndTag
    0.40
     ammunition
    0.40
     ammo
    0.40
    IBarButtonItem
    0.40
     tires
    0.39
     Pel
    0.39
    Externé
    0.39
     qualified
    0.38
    Activations Density 1.185%

    No Known Activations