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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12174
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    Explanations

    references to urban living and population dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     препратки
    -0.55
    ScopeManager
    -0.49
    acamata
    -0.44
    WriteAttribute
    -0.43
    ilustrasi
    -0.42
    assage
    -0.41
    adə
    -0.39
    paksa
    -0.39
    válasz
    -0.38
     verksam
    -0.38
    POSITIVE LOGITS
     urban
    2.64
    urban
    2.16
     Urban
    2.05
    Urban
    2.02
     URBAN
    1.93
    URBAN
    1.82
     urbano
    1.77
     urbanos
    1.74
     urbana
    1.73
     cities
    1.69
    Activations Density 0.495%

    No Known Activations