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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 4783
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    Explanations

    references to the rear of objects or vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 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
     particulières
    -0.50
     artikelen
    -0.49
     препратки
    -0.48
    findpost
    -0.47
     miniaturka
    -0.47
     Konsequ
    -0.46
     stří
    -0.46
    aarrggbb
    -0.46
     almohada
    -0.45
     zoude
    -0.45
    POSITIVE LOGITS
     rear
    1.29
     Rear
    1.07
     REAR
    1.01
    Rear
    1.00
    rear
    0.94
     posterior
    0.77
     wet
    0.76
    后
    0.68
     Wet
    0.66
     Posterior
    0.65
    Activations Density 0.098%

    No Known Activations