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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. 10524
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    elements related to urgency and expensive processes

    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
    matchCondition
    -0.55
    richTextPanel
    -0.52
     ModelExpression
    -0.52
    tinyos
    -0.48
    +#+#
    -0.47
    WebElementEntity
    -0.47
    DockStyle
    -0.46
    rungsseite
    -0.46
    RTEE
    -0.45
    aarrggbb
    -0.44
    POSITIVE LOGITS
     fast
    3.06
     quick
    2.89
     quickly
    2.77
     rapid
    2.77
     rápido
    2.73
     cepat
    2.63
     faster
    2.59
     quicker
    2.59
     schnell
    2.58
     rápida
    2.47
    Activations Density 1.273%

    No Known Activations