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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6228
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    Explanations

    elements related to transportation, particularly biking and pedestrian infrastructures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.63
    webElementXpaths
    -0.60
    BufferException
    -0.60
    󠁴
    -0.59
     للاسماء
    -0.57
    StoryboardSegue
    -0.53
    makeText
    -0.52
    GOTREF
    -0.50
    رشف
    -0.50
    pushFollow
    -0.49
    POSITIVE LOGITS
     pedestrians
    0.86
     pedestrian
    0.83
     traffic
    0.81
     Pedestrian
    0.68
    traffic
    0.65
    Traffic
    0.60
     Traffic
    0.60
     sidewalk
    0.57
     sidewalks
    0.57
     TRAFFIC
    0.56
    Activations Density 0.206%

    No Known Activations