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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 6-GEMMASCOPE-RES-16K
    6. 166
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    Explanations

    mentions of furniture and furnishings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CodeAttribute
    -0.70
     برانيه
    -0.64
    RequestParam
    -0.64
     Caw
    -0.64
    WriteAttribute
    -0.63
     glyphicon
    -0.61
    thread
    -0.61
    Kaw
    -0.61
     MessageBoxIcon
    -0.59
     Marchand
    -0.59
    POSITIVE LOGITS
     furniture
    1.49
    Furniture
    1.44
     Furniture
    1.42
     FURNITURE
    1.32
    furniture
    1.31
     furnishings
    1.19
     Furn
    1.17
     meub
    1.12
     furn
    1.09
    Furn
    1.07
    Activations Density 0.063%

    No Known Activations