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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 8406
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    Explanations

    references to mass or large quantities, often in various contexts

    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
    ︎
    -0.83
     rhubarb
    -0.82
     anticoag
    -0.81
     Nok
    -0.76
     Vivaldi
    -0.75
    🏻
    -0.75
     Veneto
    -0.74
    mények
    -0.72
     epileptic
    -0.72
     Ronde
    -0.72
    POSITIVE LOGITS
     MASS
    1.48
     Mass
    1.47
    MASS
    1.45
    Mass
    1.33
     mass
    1.32
    mass
    1.23
     Massa
    1.16
     masses
    1.11
     Masses
    1.10
     Massen
    1.00
    Activations Density 0.072%

    No Known Activations