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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9030
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    Explanations

    references to different types of bags and their uses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.51
    interopRequire
    -0.43
    libft
    -0.42
     Normdatei
    -0.42
     henvisninger
    -0.41
    ètement
    -0.41
     Pavia
    -0.40
     Neale
    -0.40
    eroy
    -0.38
    didSet
    -0.38
    POSITIVE LOGITS
     bag
    3.06
     bags
    2.84
    bag
    2.63
     Bag
    2.58
    Bag
    2.53
     Bags
    2.44
    bags
    2.38
     BAG
    2.36
    Bags
    2.28
    BAG
    2.19
    Activations Density 0.389%

    No Known Activations