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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 7980
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    Explanations

    references to railroads or rail systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ſtate
    -0.72
     impre
    -0.68
    webElementXpaths
    -0.64
     unic
    -0.64
     faſt
    -0.64
    styleType
    -0.63
     houſe
    -0.62
     ſehen
    -0.62
     maxi
    -0.62
     promis
    -0.61
    POSITIVE LOGITS
    queles
    0.53
     nel
    0.53
     rails
    0.47
    pulseira
    0.46
     Rail
    0.45
     temprana
    0.44
     recientemente
    0.43
     conjunta
    0.43
    middels
    0.42
     ruinas
    0.42
    Activations Density 0.222%

    No Known Activations