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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 12-GEMMASCOPE-RES-16K
    6. 15132
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    Explanations

    references to types of materials, specifically stone and wood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     themſelves
    -1.01
     myſelf
    -0.98
     himſelf
    -0.95
     whoſe
    -0.93
    >")
    -0.92
     Majefty
    -0.89
    pidou
    -0.88
    bibfield
    -0.87
    逅
    -0.87
    )"),
    -0.86
    POSITIVE LOGITS
     Wood
    0.81
    Wood
    0.81
    wood
    0.77
    b
    0.76
    car
    0.76
    Stone
    0.76
    k
    0.76
    Slf
    0.75
     Stone
    0.74
    t
    0.72
    Activations Density 0.057%

    No Known Activations