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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12425
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    INDEX
    Explanations

    concepts related to point systems and rewards in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Earning points, credits, rewards, or rep

    np_acts-logits-general · gemini-2.0-flash

    earning points and credits

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    原始内容存档于
    -0.43
    detectChanges
    -0.41
    ModelAdmin
    -0.40
    ніципалі
    -0.38
    RUnlock
    -0.37
    SharedDtor
    -0.36
    脚注の使い方
    -0.36
    twimg
    -0.34
    ResumeLayout
    -0.34
    Geplaatst
    -0.34
    POSITIVE LOGITS
     accumulating
    0.72
     accumulate
    0.72
     accum
    0.71
     points
    0.71
     credits
    0.69
     accumulated
    0.67
     tokens
    0.66
     rewards
    0.65
     earn
    0.65
     accumulates
    0.65
    Activations Density 0.440%

    No Known Activations