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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 8308
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    Explanations

    terms related to moisture and wetness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ỡng
    -0.53
    GeoNames
    -0.50
    новниш
    -0.48
     препратки
    -0.47
     estekak
    -0.47
    vician
    -0.41
     barracks
    -0.41
    cedido
    -0.41
    ſelf
    -0.40
     polig
    -0.40
    POSITIVE LOGITS
     wet
    0.66
    Wet
    0.62
     wetter
    0.62
     rainy
    0.61
     Wet
    0.61
     Bob
    0.58
     húmedo
    0.57
    Bob
    0.56
     raining
    0.55
    wet
    0.54
    Activations Density 1.634%

    No Known Activations