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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 13389
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    INDEX
    Explanations

    cooking instructions and techniques related to food preparation

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

    heating and cooling processes

    np_acts-logits-general · gemini-2.0-flash

    cooling or cooled materials

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.88
     snippetHide
    -0.84
    SequentialGroup
    -0.77
     >=",
    -0.68
    Παραπομπές
    -0.64
    GEBURTSDATUM
    -0.63
    InjectAttribute
    -0.63
     utafitiHapana
    -0.63
    NameInMap
    -0.61
    Зноскі
    -0.60
    POSITIVE LOGITS
     cooling
    0.90
     cooled
    0.83
     Cool
    0.82
    Cool
    0.82
     cooler
    0.82
     cool
    0.79
    Cooling
    0.77
     COOL
    0.76
    cool
    0.73
     Cooling
    0.69
    Activations Density 0.221%

    No Known Activations