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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 1541
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    Explanations

    references to transportation and carrying capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zkopf
    -0.42
     Moraes
    -0.40
     Änderung
    -0.39
    balleur
    -0.39
     nadzieję
    -0.38
    FUENTE
    -0.38
     privada
    -0.36
     Marek
    -0.36
     tinggal
    -0.36
    latego
    -0.35
    POSITIVE LOGITS
     cargo
    0.65
     loads
    0.63
     load
    0.62
     Loads
    0.60
    cargo
    0.60
     carrying
    0.57
     Load
    0.56
    載
    0.56
     Carrying
    0.56
     payload
    0.56
    Activations Density 0.590%

    No Known Activations