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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5590
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    references to motorsport events and drivers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cyfarwyddwr
    -0.56
     муніципалі
    -0.51
    tagHelperRunner
    -0.48
    хьтан
    -0.45
    Aholisi
    -0.45
    Nuorodos
    -0.44
    InjectAttribute
    -0.44
     informée
    -0.43
    abetes
    -0.43
    RTDA
    -0.43
    POSITIVE LOGITS
     lap
    0.87
     qualifying
    0.71
     Qualifying
    0.68
    lap
    0.63
     laps
    0.60
     Lap
    0.59
    Lap
    0.57
     fastest
    0.56
     qualify
    0.56
     strategy
    0.54
    Activations Density 0.168%

    No Known Activations