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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 16258
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    terms related to nutrition and dietary components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Infórmanos
    -0.61
     EconPapers
    -0.60
     surla
    -0.58
     wiſſen
    -0.56
    ſchen
    -0.55
     geſch
    -0.54
     Geiſt
    -0.54
     Geſch
    -0.54
     Waſſer
    -0.52
    AccessorTable
    -0.52
    POSITIVE LOGITS
     and
    0.83
    ,
    0.49
    性和
    0.40
    力和
    0.40
    Referanser
    0.37
     or
    0.35
     democracy
    0.32
     &
    0.31
     및
    0.30
     Turquie
    0.30
    Activations Density 1.903%

    No Known Activations