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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10000
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    INDEX
    Explanations

    cooking instructions and related terms

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

    Preceding "medium," "low," "heat," or "water."

    np_acts-logits-general · gemini-2.0-flash

    cooking temperatures

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
    Datuak
    -0.82
    enumi
    -0.80
    kuuta
    -0.73
     الحره
    -0.71
     ujednoznacz
    -0.70
    enumii
    -0.69
    fjspx
    -0.66
    脚注の使い方
    -0.65
    TargetException
    -0.62
    XmlAccessType
    -0.62
    POSITIVE LOGITS
     medium
    0.69
    強
    0.59
     heat
    0.56
     moderate
    0.56
    medium
    0.54
    Sim
    0.51
     Medium
    0.51
    Medium
    0.50
     low
    0.49
    moderate
    0.49
    Activations Density 0.174%

    No Known Activations