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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10670
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    Explanations

    information related to hiking trails and recreational areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     city
    -0.37
     ciudad
    -0.34
     natt
    -0.32
     neón
    -0.31
    城市
    -0.31
     différences
    -0.30
    ennemi
    -0.30
     EMEA
    -0.29
    Océ
    -0.28
    city
    -0.28
    POSITIVE LOGITS
     hiked
    0.88
     hikers
    0.86
     hike
    0.85
     hiking
    0.85
     hiker
    0.80
     Hiking
    0.77
     Hike
    0.77
     hikes
    0.74
    hiking
    0.73
    Hiking
    0.71
    Activations Density 0.264%

    No Known Activations