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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 25-GEMMASCOPE-RES-16K
    6. 15387
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    terms related to microbiology and biochemical processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_25/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.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     downsides
    -0.52
     Bioinformatics
    -0.52
     screenshots
    -0.52
     affordability
    -0.52
     microbiome
    -0.51
    tanleria
    -0.50
     webcam
    -0.50
     selfies
    -0.50
     stakeholders
    -0.50
     genomics
    -0.50
    POSITIVE LOGITS
    tagHelperRunner
    0.47
    FieldNumber
    0.46
    faßt
    0.46
    contentLoaded
    0.44
     GenerationType
    0.43
     فريبيس
    0.40
    AsUp
    0.40
    ChildIndex
    0.38
     Recherches
    0.38
     AssemblyTitle
    0.37
    Activations Density 0.599%

    No Known Activations