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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 8392
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    Explanations

    incidents related to pedestrian and vehicle interactions, particularly involving jaywalking and traffic accidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    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
    -0.82
    OGND
    -0.71
     InputDecoration
    -0.57
    LookAnd
    -0.56
    sidemargin
    -0.52
     Meksiku
    -0.52
     '\\;'
    -0.50
    SupportActionBar
    -0.47
     autorytatywna
    -0.46
     AssemblyCulture
    -0.46
    POSITIVE LOGITS
     pedestrian
    0.52
     crossing
    0.49
     blocking
    0.48
     Pedestrian
    0.47
     obstructing
    0.46
    blocking
    0.45
    crossing
    0.45
     crossings
    0.44
    plates
    0.43
     fresh
    0.43
    Activations Density 0.665%

    No Known Activations