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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14328
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    terms related to vehicle features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TabLayout
    -0.57
    Lugares
    -0.55
    odo
    -0.51
    lorum
    -0.51
    fillType
    -0.50
    InitStruct
    -0.47
     alberga
    -0.46
    Airlines
    -0.45
    layoutManager
    -0.45
    zmir
    -0.45
    POSITIVE LOGITS
     machine
    0.76
     vehicle
    0.76
     device
    0.67
     vessel
    0.66
     vehículo
    0.65
     véhicule
    0.65
     instrument
    0.64
     unit
    0.64
     beast
    0.63
     Gerät
    0.61
    Activations Density 1.356%

    No Known Activations