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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. 1688
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    details about individuals' sports careers and achievements

    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
    RTGC
    -0.45
     defaultstate
    -0.39
    oznam
    -0.37
    RotationOrder
    -0.37
    Lähteet
    -0.37
     surla
    -0.37
     idéia
    -0.37
    EDEFAULT
    -0.36
     ivelany
    -0.36
     existencia
    -0.35
    POSITIVE LOGITS
     teaching
    0.86
     bart
    0.82
     coaching
    0.80
     owning
    0.76
     owned
    0.75
     teach
    0.75
     managing
    0.72
     running
    0.72
     run
    0.71
     runs
    0.71
    Activations Density 0.502%

    No Known Activations