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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. 31-GEMMASCOPE-RES-131K
    6. 64346
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    INDEX
    Explanations

    references to the term "Fanconi anemia" and its related concepts

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

    fan and related names or words

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paglinawan
    -0.48
    addCriterion
    -0.41
     חיצוניים
    -0.39
     onCreateView
    -0.36
    ModelAdmin
    -0.36
    TagHelper
    -0.34
     createState
    -0.34
    richTextPanel
    -0.34
    NameValuePair
    -0.33
    EventQueue
    -0.33
    POSITIVE LOGITS
     fan
    0.69
    Fan
    0.67
    fan
    0.66
     Fan
    0.65
     FAN
    0.63
     hâm
    0.61
    FAN
    0.60
     Fanning
    0.54
     Fans
    0.53
    ファン
    0.53
    Activations Density 0.021%

    No Known Activations