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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 3636
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    Explanations

    modal verbs and their usage in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chieht
    -0.62
     bicchiere
    -0.50
     enfans
    -0.49
     pouvoit
    -0.49
    lück
    -0.49
     cappello
    -0.48
     nuo
    -0.47
    altham
    -0.46
     coute
    -0.45
     gezet
    -0.44
    POSITIVE LOGITS
    ţilor
    0.63
    itoare
    0.63
     Dumnezeu
    0.60
     Italij
    0.59
     paraître
    0.59
     bahía
    0.59
     infancia
    0.58
     muerta
    0.58
     herido
    0.57
     brasileño
    0.57
    Activations Density 0.048%

    No Known Activations