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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9355
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    Explanations

    references to cars and vehicles in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adpleegd
    -0.54
     Gottfried
    -0.47
    IZABETH
    -0.46
     Blitz
    -0.46
    -------
    -0.44
    }),
    -0.44
     Grund
    -0.44
    entie
    -0.44
    olato
    -0.43
    desta
    -0.43
    POSITIVE LOGITS
     car
    1.55
    Car
    1.44
     Car
    1.42
    car
    1.34
     Cars
    1.27
     cars
    1.26
    cars
    1.20
    Cars
    1.15
    CAR
    1.05
     voiture
    0.99
    Activations Density 0.100%

    No Known Activations