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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6242
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    Explanations

    terms related to mass and large quantities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CanadaChoose
    -0.52
     tramonto
    -0.49
     Савезне
    -0.48
     onCancelled
    -0.45
    enumi
    -0.43
    criter
    -0.43
     VizieR
    -0.42
    MLLoader
    -0.41
     '{@
    -0.41
     vétérina
    -0.41
    POSITIVE LOGITS
     mass
    2.80
     Mass
    2.55
    mass
    2.53
    Mass
    2.53
     MASS
    2.17
    MASS
    2.16
     massa
    1.93
     masses
    1.92
     Massen
    1.88
     Masses
    1.82
    Activations Density 0.230%

    No Known Activations