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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 5001
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    Explanations

    Modal verbs and their usage in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     deinen
    -0.46
     Deinen
    -0.45
     Den
    -0.40
     we
    -0.40
     Ihren
    -0.38
     می‌توانید
    -0.37
    altezza
    -0.36
     meinen
    -0.36
     galite
    -0.35
     будешь
    -0.35
    POSITIVE LOGITS
     man
    0.94
     es
    0.91
     sie
    0.77
     der
    0.74
     sich
    0.72
     die
    0.66
     wir
    0.63
     er
    0.59
     ſie
    0.57
     faſt
    0.57
    Activations Density 0.107%

    No Known Activations