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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 9456
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    INDEX
    Explanations

    sentences featuring modal verbs and their combinations

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

    German words and phrases such as "nicht", "finden", "löschen"

    np_acts-logits-general · gemini-2.0-flash

    german database or medical terms

    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
     whoſe
    -0.67
     purpoſe
    -0.66
     houſe
    -0.63
     itſelf
    -0.62
     myſelf
    -0.60
     ſtate
    -0.60
     martyrdom
    -0.59
     becauſe
    -0.59
     withal
    -0.58
     ſeveral
    -0.58
    POSITIVE LOGITS
     Desai
    0.40
     integri
    0.39
     rense
    0.39
     sho
    0.38
    ConstraintMaker
    0.38
    チール
    0.37
     down
    0.36
    alen
    0.36
    ecore
    0.36
    ؤية
    0.36
    Activations Density 0.016%

    No Known Activations