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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 11773
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    modal verbs and their usage in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DockStyle
    -0.48
    providedIn
    -0.48
    enumi
    -0.45
    guenos
    -0.44
    šče
    -0.43
    liceerd
    -0.43
    AutoField
    -0.41
    chuga
    -0.41
     quiera
    -0.40
     bruja
    -0.40
    POSITIVE LOGITS
     mit
    0.64
     als
    0.63
     auf
    0.61
     durch
    0.60
     unter
    0.57
     nach
    0.57
     zwischen
    0.57
     im
    0.57
     während
    0.56
     von
    0.55
    Activations Density 0.022%

    No Known Activations