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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12985
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    names of people and entities involved in real estate or architecture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     egens
    -0.59
     vanskelig
    -0.55
     hjælp
    -0.54
    IndentedString
    -0.54
    hæng
    -0.53
     Normdatei
    -0.52
     muligt
    -0.52
     /\.(
    -0.52
     nødven
    -0.51
     problemer
    -0.51
    POSITIVE LOGITS
     Norwegian
    1.00
     Norway
    0.93
    Norwegian
    0.84
     Norwe
    0.83
     Norvège
    0.81
     Noruega
    0.80
    Norway
    0.79
     Danish
    0.78
    Ø
    0.77
     Oslo
    0.77
    Activations Density 0.317%

    No Known Activations