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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 15187
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    references to elevations and altitudes in mountainous regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CascadeType
    -0.43
    脚注の使い方
    -0.43
     menyus
    -0.42
    RenderAtEndOf
    -0.40
     ProtoMessage
    -0.39
    ograma
    -0.39
    Shaped
    -0.38
    unnitel
    -0.38
     مرئيه
    -0.37
     Shaped
    -0.37
    POSITIVE LOGITS
     altitude
    0.84
     elevation
    0.71
    Altitude
    0.69
     Altitude
    0.69
    altitude
    0.65
     altitudes
    0.61
    elevation
    0.60
     Elevation
    0.58
     elevations
    0.57
     altitud
    0.56
    Activations Density 0.203%

    No Known Activations