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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 278
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    Explanations

    references to specific types of equipment and their functional roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RetentionPolicy
    -0.47
     JpaRepository
    -0.38
    IVEREF
    -0.37
    曖昧さ回避
    -0.36
    UserDao
    -0.34
    Orb
    -0.33
    HtmlAttribute
    -0.33
     handkerchief
    -0.32
    postIndex
    -0.32
    MockBean
    -0.31
    POSITIVE LOGITS
     equipment
    3.08
    equipment
    2.66
     Equipment
    2.66
    Equipment
    2.52
     EQUIPMENT
    2.45
     equipments
    2.36
    EQUIPMENT
    2.30
     equip
    2.13
    equip
    2.13
     Equip
    2.11
    Activations Density 0.510%

    No Known Activations