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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15477
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    Explanations

    names of notable individuals, particularly in academic and scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gespräch
    -0.57
    OGND
    -0.56
    httphttps
    -0.55
    geschäft
    -0.53
    ا
    -0.53
    gerät
    -0.50
    trice
    -0.49
    NewLabel
    -0.48
    dicts
    -0.48
    dairy
    -0.48
    POSITIVE LOGITS
    nnnn
    0.64
    n
    0.59
    nnn
    0.58
    nn
    0.49
    ned
    0.45
    ning
    0.45
     ویکی‌پدی
    0.43
    ed
    0.43
    sidemargin
    0.41
    rn
    0.39
    Activations Density 0.608%

    No Known Activations