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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10015
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    instances of chemical compound names or references in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     atracción
    -0.36
     perfectamente
    -0.35
     perfeitamente
    -0.35
     tranquilidad
    -0.34
     salvación
    -0.33
     rechazo
    -0.33
     lavadora
    -0.33
    eniendo
    -0.32
     explosión
    -0.31
     henkil
    -0.31
    POSITIVE LOGITS
    IUrlHelper
    0.66
    ContentAsync
    0.65
     ProtoMessage
    0.64
    expandindo
    0.64
     GLS
    0.62
    BufferException
    0.61
    Wa
    0.60
    发表于
    0.60
    Архівовано
    0.59
     Sense
    0.59
    Activations Density 0.304%

    No Known Activations