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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. 1648
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    Explanations

    references to dining establishments and their seating arrangements

    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
    ValueGenerated
    -0.43
    elemField
    -0.39
     fieldNum
    -0.39
    setVerticalGroup
    -0.37
     ब्रेकडाउन
    -0.36
    httphttps
    -0.35
    Ārējās
    -0.34
    AndEndTag
    -0.34
    encodeWith
    -0.33
    batis
    -0.32
    POSITIVE LOGITS
     sentarse
    0.66
     seating
    0.65
     café
    0.61
     patio
    0.60
     Seating
    0.59
     cafe
    0.58
     cafés
    0.58
    Patio
    0.57
     lounge
    0.57
     Patio
    0.57
    Activations Density 0.185%

    No Known Activations