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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 6400
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    Explanations

    relationships involving water quality and environmental factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flä
    -0.41
    Elevator
    -0.37
    ArgumentParser
    -0.37
     GenerationType
    -0.37
     elevator
    -0.36
     Arquite
    -0.36
    encodeWith
    -0.35
     spindle
    -0.35
    XtraEditors
    -0.32
    SaveChangesAsync
    -0.32
    POSITIVE LOGITS
     dissolved
    0.79
     turbidity
    0.75
     Dissolved
    0.74
    Dissolved
    0.72
     nutrients
    0.64
     tributaries
    0.62
     surla
    0.62
     phosphorus
    0.61
     nutrient
    0.61
     discharges
    0.60
    Activations Density 0.292%

    No Known Activations