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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 998
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    Explanations

    terms related to mountains and mountainous landscapes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    躇
    -0.77
     DELHI
    -0.76
     ujednoznacz
    -0.74
     InputDecoration
    -0.69
     Depp
    -0.66
     Erfurt
    -0.66
     CHICAGO
    -0.66
    ARGB
    -0.64
    новниш
    -0.63
     BEDROOM
    -0.63
    POSITIVE LOGITS
     mountain
    1.82
     Mountain
    1.79
    Mountain
    1.65
     mountains
    1.63
     MOUNTAIN
    1.50
    mountain
    1.49
     Mountains
    1.48
     Mount
    1.46
     hill
    1.42
    Mount
    1.39
    Activations Density 0.070%

    No Known Activations