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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9350
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    INDEX
    Explanations

    modal verbs and their usage in context

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

    German language or grammar concepts

    np_acts-logits-general · gemini-2.0-flash

    modal verbs in German

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ScopeManager
    -1.02
     müſſen
    -0.78
     laſſen
    -0.77
    niſſe
    -0.75
    linawan
    -0.74
    iſchen
    -0.73
     AspNetCore
    -0.73
     Waſſer
    -0.73
     queſta
    -0.73
    GEBURTSDATUM
    -0.73
    POSITIVE LOGITS
     sich
    0.59
     we
    0.40
     they
    0.36
     you
    0.35
     it
    0.33
     zich
    0.31
     she
    0.26
     die
    0.24
     häl
    0.23
     he
    0.23
    Activations Density 0.033%

    No Known Activations