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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 13-GEMMASCOPE-RES-16K
    6. 5549
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    Explanations

    references to snow, winter, and winter weather conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     createState
    -0.74
    JULY
    -0.72
     propOrder
    -0.69
    newArrayList
    -0.67
    gonic
    -0.66
    Vidite
    -0.65
     Juli
    -0.64
    djangoproject
    -0.63
    ImageIO
    -0.62
    geord
    -0.62
    POSITIVE LOGITS
     snow
    1.65
     Snow
    1.52
    snow
    1.51
    Snow
    1.50
     SNOW
    1.47
     snowfall
    1.41
    SNOW
    1.40
     ski
    1.29
     snowy
    1.28
     skiing
    1.26
    Activations Density 0.266%

    No Known Activations