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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. 14529
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    Explanations

    references to cabinets in a variety of contexts, including governmental and furniture-related uses

    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
     requestId
    -0.50
     maxWidth
    -0.45
     PeEnEo
    -0.44
     ElementRef
    -0.43
     getPassword
    -0.42
     FormData
    -0.42
     launching
    -0.40
    Ciao
    -0.40
    enterOuterAlt
    -0.40
    setPassword
    -0.39
    POSITIVE LOGITS
     Cabinet
    0.85
    Cabinet
    0.81
     cabinet
    0.80
    cabinet
    0.67
     shelves
    0.61
     shelf
    0.58
     cupboard
    0.58
     Shelves
    0.58
     étag
    0.57
     Routing
    0.56
    Activations Density 0.506%

    No Known Activations