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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8514
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    references to specific road infrastructure and projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    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
    -0.59
     ComVisible
    -0.54
    /*++
    -0.50
     kasarigan
    -0.47
    عرِّف
    -0.46
     resourceCulture
    -0.45
    makeConstraints
    -0.44
     Roskov
    -0.43
     Chwiliwch
    -0.43
     ddelweddau
    -0.43
    POSITIVE LOGITS
     pavement
    0.81
     Pavement
    0.74
     paving
    0.72
     asphalt
    0.71
     Asphalt
    0.65
     roadside
    0.57
     pavements
    0.57
     roadway
    0.55
     PAV
    0.54
     road
    0.52
    Activations Density 0.236%

    No Known Activations