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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6060
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    Explanations

    items and conditions related to different categories of physical objects and quantities, particularly focusing on cleaning and electronic devices, food products, demographic groups, health conditions, and environmental factors

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

    before commas

    np_acts-logits-general · gemini-2.0-flash

    medical and health-related terms

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     zwiſchen
    -0.65
    iſchen
    -0.65
     deſſen
    -0.64
    unknownFields
    -0.64
     IBOutlet
    -0.63
     erſten
    -0.63
    
    -0.62
    ᔢ
    -0.62
     tartalo
    -0.60
    <unused7>
    -0.60
    POSITIVE LOGITS
    RTEX
    0.38
    にほんブログ村
    0.33
    ništvo
    0.32
    atalos
    0.31
     Wochenende
    0.31
     Mol
    0.29
     lune
    0.29
     luf
    0.28
     typelib
    0.28
    Coordenadas
    0.28
    Activations Density 0.448%

    No Known Activations