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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6973
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    Explanations

    references to mountains or mountain ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    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
    -0.90
     makeStyles
    -0.80
    揄
    -0.79
    enumi
    -0.78
    enumii
    -0.78
     arşivlendi
    -0.71
     Fabrics
    -0.66
    люсы
    -0.66
    LEncoder
    -0.64
    LoadScene
    -0.64
    POSITIVE LOGITS
     Mountain
    3.78
     mountain
    3.73
    Mountain
    3.50
     MOUNTAIN
    3.25
    mountain
    3.21
     mountains
    2.73
     Mountains
    2.55
    mountains
    2.18
    Mountains
    2.11
     montaña
    2.07
    Activations Density 0.017%

    No Known Activations