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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 3-GEMMASCOPE-RES-16K
    6. 9264
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    Explanations

    references to volume measurements and variations within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Heavy
    -0.65
    heavy
    -0.63
     heavy
    -0.63
    Heavy
    -0.58
     HEAVY
    -0.52
     vocês
    -0.47
     zwaar
    -0.41
     heaviest
    -0.41
     heavier
    -0.40
     réparer
    -0.40
    POSITIVE LOGITS
     volume
    0.84
    volume
    0.71
     volumen
    0.68
     Volume
    0.68
    Volume
    0.65
     VOLUME
    0.62
     volumes
    0.60
     Volumen
    0.58
     resourceCulture
    0.54
    VOLUME
    0.53
    Activations Density 0.046%

    No Known Activations