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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 9511
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    Explanations

    terms and phrases related to physical activity and exercise assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words and phrases describing steep inclines, elevation changes, and challenging topographical features.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.48
     Audiodateien
    -0.46
     createSlice
    -0.45
     CURIAM
    -0.42
    SharedCtor
    -0.40
    elemField
    -0.40
     насељу
    -0.39
    MessageOf
    -0.39
     kasarigan
    -0.39
    verwijspagina
    -0.38
    POSITIVE LOGITS
     slope
    1.68
     uphill
    1.57
     slopes
    1.55
     steep
    1.55
     downhill
    1.52
     hill
    1.52
     steeper
    1.43
     hills
    1.42
     Slope
    1.40
     sloping
    1.39
    Activations Density 0.282%

    No Known Activations