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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9456
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    occurrences of medical conditions and their descriptors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.46
     оригіналу
    -0.42
    灌
    -0.39
    master
    -0.37
     dima
    -0.37
     plunge
    -0.36
    AppMethodBeat
    -0.36
    Din
    -0.36
    empty
    -0.35
    󠁣
    -0.35
    POSITIVE LOGITS
    GEBURTSDATUM
    0.68
     probabilities
    0.65
     rarity
    0.64
     rare
    0.63
     rarer
    0.56
     probability
    0.55
     infrequent
    0.54
     säll
    0.54
     rarest
    0.53
     proporción
    0.53
    Activations Density 1.451%

    No Known Activations