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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10422
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    Explanations

    references to transportation infrastructure and road projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rhestr
    -0.58
     kasarigan
    -0.54
    /*++
    -0.53
     ComVisible
    -0.50
    StoryboardSegue
    -0.47
    endaft
    -0.44
     &___
    -0.44
    عرِّف
    -0.43
     Roskov
    -0.42
     resourceCulture
    -0.42
    POSITIVE LOGITS
     pavement
    0.82
     asphalt
    0.77
     Pavement
    0.74
     paving
    0.74
     Asphalt
    0.71
     Traffic
    0.65
     patching
    0.64
     roadway
    0.63
     road
    0.62
     Road
    0.61
    Activations Density 0.224%

    No Known Activations