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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11987
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    Explanations

    names and identifiers related to maritime vessels and their details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Бележки
    -0.45
    queryInterface
    -0.44
    Билгалдахарш
    -0.44
     dAtA
    -0.43
     astonished
    -0.41
    Chham
    -0.40
    SpringRunner
    -0.40
    pantalones
    -0.39
     instinctive
    -0.39
    tagHelperRunner
    -0.38
    POSITIVE LOGITS
     ship
    0.71
     ships
    0.62
     vessel
    0.59
     navire
    0.56
     buque
    0.52
    ship
    0.51
    Ship
    0.50
     vessels
    0.49
    OGND
    0.48
     Ship
    0.47
    Activations Density 0.202%

    No Known Activations