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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. 5561
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    elements related to 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
     muchacha
    -0.63
     femei
    -0.62
     casada
    -0.61
    bebasan
    -0.60
     nostru
    -0.59
     băr
    -0.58
     său
    -0.57
     Dijo
    -0.57
     esposo
    -0.55
     llorando
    -0.55
    POSITIVE LOGITS
     optimieren
    0.48
     richten
    0.47
     fördern
    0.47
     legen
    0.47
     geben
    0.46
     berücksichtigen
    0.46
     schaffen
    0.46
     gestalten
    0.46
     fahren
    0.45
     móveis
    0.45
    Activations Density 0.019%

    No Known Activations