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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. 2480
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    phrases related to learning and character progression within a gaming context

    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
    RenderAtEndOf
    -0.59
    LLocation
    -0.56
     Incidents
    -0.48
    出版年
    -0.46
     nakalista
    -0.46
     ویکی‌پدی
    -0.45
     Infórmanos
    -0.44
    üyada
    -0.44
     <=",
    -0.44
     incidents
    -0.43
    POSITIVE LOGITS
     priest
    0.48
     healer
    0.47
     mage
    0.47
     Priest
    0.47
     tank
    0.46
     warrior
    0.44
     Priester
    0.41
     priestly
    0.41
     samurai
    0.40
    Priest
    0.40
    Activations Density 0.279%

    No Known Activations