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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10517
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    INDEX
    Explanations

    references to thin materials or layers

    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
    Not in Any Lists

    No Comments

    Negative Logits
    +#+
    -0.57
    Américaine
    -0.47
     Sprache
    -0.47
     températures
    -0.47
    ualitas
    -0.45
    Przypisy
    -0.45
     كومونز
    -0.44
     camiset
    -0.44
     enggak
    -0.44
     tatou
    -0.44
    POSITIVE LOGITS
     thin
    1.84
     Thin
    1.70
    Thin
    1.61
     thinner
    1.40
    thin
    1.36
     heavy
    1.33
     Heavy
    1.29
    heavy
    1.28
     slim
    1.22
     heavier
    1.20
    Activations Density 0.075%

    No Known Activations