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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 16k
    5. 9-GEMMASCOPE-RES-16K
    6. 6583
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    Explanations

    references to urban areas and the impact of human activities on these environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sliding
    -0.46
    Gambas
    -0.45
     Gior
    -0.44
     noten
    -0.41
     MAIL
    -0.41
    ℕ
    -0.41
    Климат
    -0.40
    lido
    -0.40
    istung
    -0.40
    luigi
    -0.40
    POSITIVE LOGITS
     urban
    1.76
    Urban
    1.56
     Urban
    1.55
    urban
    1.44
     urbanos
    1.38
     URBAN
    1.36
     urbano
    1.33
    URBAN
    1.30
     urbanas
    1.27
     urbaine
    1.24
    Activations Density 0.178%

    No Known Activations