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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15632
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    elements related to urban development and infrastructure

    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
     Zweifel
    -0.49
     pinggang
    -0.44
     dziew
    -0.43
    antaranya
    -0.43
     gewöhnlich
    -0.43
     nubes
    -0.42
     preocupes
    -0.42
     Gesamt
    -0.41
    รส
    -0.41
     esfuer
    -0.40
    POSITIVE LOGITS
     cum
    0.75
    MigrationBuilder
    0.65
    MessageOf
    0.58
     equipments
    0.55
    Fiesta
    0.55
     timings
    0.54
    riages
    0.54
    Parcelize
    0.53
     doze
    0.52
    cum
    0.52
    Activations Density 0.351%

    No Known Activations