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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9420
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    Explanations

    references to lasers and their applications 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 @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İstinadlar
    -0.39
    httphttps
    -0.37
     kasarigan
    -0.35
     EconPapers
    -0.35
    ThemeOverlay
    -0.34
     plă
    -0.33
     ricette
    -0.33
    )\}
    -0.33
    Manbalar
    -0.32
    apprendre
    -0.32
    POSITIVE LOGITS
     laser
    1.98
     Laser
    1.67
     lasers
    1.66
    Laser
    1.63
    laser
    1.60
     láser
    1.57
     LASER
    1.51
     лазер
    1.48
     Lasers
    1.44
    激光
    1.41
    Activations Density 0.563%

    No Known Activations