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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 14014
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    Explanations

    references to various types of equipment and machinery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fjspx
    -0.50
     NSCoder
    -0.42
    ToBounds
    -0.41
     AssemblyCulture
    -0.39
     ExecuteAsync
    -0.39
    chränk
    -0.38
     angekommen
    -0.37
     mant
    -0.37
     hardened
    -0.36
    <bos>
    -0.35
    POSITIVE LOGITS
     Equipment
    1.05
    Equipment
    1.00
     EQUIPMENT
    0.99
     equipment
    0.97
    equipment
    0.95
     equipments
    0.93
     equip
    0.91
     Equip
    0.89
    EQUIPMENT
    0.84
    équipement
    0.82
    Activations Density 0.299%

    No Known Activations