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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 13038
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    Explanations

    references to chairs and assignments related to them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Datuak
    -0.50
     &___
    -0.44
     iLocal
    -0.43
     docteur
    -0.43
     productivo
    -0.41
    TagMode
    -0.40
    strSql
    -0.39
     vetorial
    -0.39
     rootView
    -0.39
     CoreData
    -0.39
    POSITIVE LOGITS
     assigned
    1.07
     chairs
    0.95
     Assigned
    0.94
     seats
    0.90
     Chairs
    0.89
    assigned
    0.87
     chair
    0.85
     crop
    0.85
     Seats
    0.85
    Assigned
    0.82
    Activations Density 0.182%

    No Known Activations