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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 21-GEMMASCOPE-RES-16K
    6. 15760
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    Explanations

    references to transportation and logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 21-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_21/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.21.hook_resid_post
    Hook Layer
    21
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     initComponents
    -0.61
     educativos
    -0.44
     pensamiento
    -0.40
    CPtr
    -0.39
     graduación
    -0.39
     costumbre
    -0.38
     promoción
    -0.37
     humanidad
    -0.37
     invitación
    -0.36
     razonable
    -0.36
    POSITIVE LOGITS
     warehouse
    1.03
     warehousing
    0.93
     cargo
    0.92
     warehouses
    0.90
     Warehouse
    0.90
     freight
    0.90
     Logistics
    0.84
     logistics
    0.84
     Cargo
    0.84
     Shipment
    0.82
    Activations Density 0.367%

    No Known Activations