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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. 8577
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    Explanations

    references to public parks and recreational trails

    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
     propOrder
    -0.52
    évaluateur
    -0.47
    ########.
    -0.45
     ComVisible
    -0.41
     HFILL
    -0.39
     Zacks
    -0.39
     menuItem
    -0.37
    ibouti
    -0.37
    лючение
    -0.36
    المراجع
    -0.35
    POSITIVE LOGITS
     parks
    1.17
     park
    1.16
     picnic
    0.98
     playgrounds
    0.97
     recreation
    0.89
     playground
    0.87
     parques
    0.85
     jogging
    0.84
     Parks
    0.84
    parks
    0.84
    Activations Density 0.347%

    No Known Activations