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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 8089
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    Explanations

    diverse food types and nutritional elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rhestr
    -0.75
    tagext
    -0.62
     surla
    -0.60
     informée
    -0.59
    AddTagHelper
    -0.57
     $_(
    -0.56
     ciudadana
    -0.56
    ScopeManager
    -0.55
     confirmer
    -0.54
     plufieurs
    -0.54
    POSITIVE LOGITS
     grain
    0.79
     grains
    0.76
     Grain
    0.71
     Grains
    0.71
    grain
    0.69
    Grain
    0.64
    grains
    0.59
     granos
    0.57
     cereals
    0.56
     wheat
    0.55
    Activations Density 0.384%

    No Known Activations