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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 34-GEMMASCOPE-RES-16K
    6. 5860
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    specific company names and their details related to maritime operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     flown
    -0.44
     aéro
    -0.42
    MessageTagHelper
    -0.39
     loue
    -0.38
     aerob
    -0.37
     destrucción
    -0.36
     CGRectMake
    -0.36
     sensación
    -0.36
     houſe
    -0.35
     treason
    -0.35
    POSITIVE LOGITS
    RTGC
    0.66
     shipping
    0.65
     vessels
    0.62
     vessel
    0.62
     IMO
    0.60
     container
    0.58
     Shipping
    0.58
     Vessels
    0.57
    Shipping
    0.56
     Pana
    0.56
    Activations Density 0.277%

    No Known Activations