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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 22275
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    Explanations

    instances of the modal verb "can" in various contexts

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

    can followed by verbs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     successfully
    -0.49
     efficiently
    -0.40
     meaningfully
    -0.37
     ultimately
    -0.37
     effectively
    -0.35
     accurately
    -0.35
     reliably
    -0.34
     secara
    -0.32
     decisively
    -0.32
     eenvoudig
    -0.32
    POSITIVE LOGITS
    ंदीखरीदारी
    0.72
    BufferException
    0.68
    whatever
    0.62
    ientí
    0.60
    AlterField
    0.59
    StoreMessageInfo
    0.59
     Geiſt
    0.59
     whatever
    0.59
     snippetHide
    0.58
    getMenuInflater
    0.57
    Activations Density 0.023%

    No Known Activations