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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. 3249
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    proper nouns and names of entities

    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
    脚注の使い方
    -0.57
    AttributeSet
    -0.56
    PyExc
    -0.55
    InjectAttribute
    -0.55
    tanleria
    -0.54
     betweenstory
    -0.54
     виправивши
    -0.52
     препратки
    -0.52
     defStyle
    -0.52
    WireFormatLite
    -0.52
    POSITIVE LOGITS
    '
    0.47
    ʼ
    0.47
    ❜
    0.46
    ’
    0.42
    `
    0.38
    ʻ
    0.35
    ’
    0.32
    ズ
    0.32
    ʹ
    0.32
    '&:
    0.30
    Activations Density 0.392%

    No Known Activations