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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 35858
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    Explanations

    references to various types of cooking vessels or containers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    cooking pans

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UIAlert
    -0.48
     existence
    -0.46
     nakalista
    -0.44
    ,$_
    -0.40
    <%@
    -0.39
    tiap
    -0.39
     tartalomajánló
    -0.39
     Wach
    -0.39
     absolute
    -0.38
    istoitu
    -0.38
    POSITIVE LOGITS
     pan
    0.93
     pans
    0.90
     saucepan
    0.88
     sartén
    0.79
     skillet
    0.74
    cepan
    0.60
    帖最后由
    0.58
    Basin
    0.57
     للمعارف
    0.56
     poêle
    0.56
    Activations Density 0.006%

    No Known Activations