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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 9704
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    Explanations

    references to office furniture and storage solutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ьаж
    -0.58
    InjectAttribute
    -0.50
     ModelExpression
    -0.47
     صوتيه
    -0.44
     DbType
    -0.43
    kháu
    -0.42
     Ketten
    -0.41
     CreateTagHelper
    -0.40
    onFocus
    -0.40
     cour
    -0.38
    POSITIVE LOGITS
     cabinet
    1.87
     cabinets
    1.87
     cupboard
    1.82
     cupboards
    1.78
     closet
    1.75
     Cabinet
    1.64
     closets
    1.63
     Cabinets
    1.61
    cabinet
    1.61
    Cabinet
    1.54
    Activations Density 0.213%

    No Known Activations