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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7390
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    Explanations

    references to various types of equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GOTREF
    -0.44
    TintMode
    -0.40
     нажмите
    -0.38
    rise
    -0.36
     cadeia
    -0.35
    TryParse
    -0.35
    XmlAccessorType
    -0.34
    push
    -0.34
    αρα
    -0.34
     scorso
    -0.34
    POSITIVE LOGITS
     equipment
    3.92
     Equipment
    3.66
    Equipment
    3.50
    equipment
    3.50
     EQUIPMENT
    3.28
    EQUIPMENT
    3.02
     equipments
    2.89
     Equip
    2.52
    équipement
    2.44
     equipamento
    2.42
    Activations Density 0.062%

    No Known Activations