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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 12511
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    Explanations

    references to woodland areas and vegetation

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

    woodland(s)

    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
     Мексичка
    -0.50
    getWriter
    -0.44
    rungsseite
    -0.43
     autorytatywna
    -0.43
     disambiguazione
    -0.42
    homonymie
    -0.41
    
    -0.39
     Verhält
    -0.39
     Mess
    -0.38
     rig
    -0.38
    POSITIVE LOGITS
     Woodland
    0.75
    Woodland
    0.65
     woodland
    0.52
    mittent
    0.50
    ⤹
    0.50
    AILABLE
    0.49
     dziecię
    0.48
    zeiro
    0.47
     Rondo
    0.46
    galus
    0.46
    Activations Density 0.015%

    No Known Activations