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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. 874
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    numerical data related to diabetes and health statistics

    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
    edding
    -0.52
    ">//
    -0.50
    dass
    -0.45
    VIAF
    -0.44
    asive
    -0.42
    aten
    -0.42
    Begriffsklä
    -0.42
    atal
    -0.41
    ted
    -0.41
    dillo
    -0.41
    POSITIVE LOGITS
    ️⃣
    0.80
    ⃣
    0.75
     Normdatei
    0.47
    ′
    0.44
    ″
    0.43
     ſta
    0.39
    Ƚ
    0.39
    elemField
    0.38
     NSCoder
    0.37
    şört
    0.36
    Activations Density 1.053%

    No Known Activations