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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1404
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    phrases related to sports teams and their performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدی
    -0.61
     Infórmanos
    -0.53
     nakalista
    -0.50
    Varint
    -0.50
    Personendaten
    -0.48
     ModelExpression
    -0.48
     surla
    -0.48
    UnusedPrivate
    -0.47
    neurial
    -0.45
    balleur
    -0.45
    POSITIVE LOGITS
     defensively
    0.42
     miserably
    0.40
    SpringBootTest
    0.40
     eivät
    0.39
     dangerously
    0.39
     realistically
    0.38
     badly
    0.38
    мужские
    0.38
     considérable
    0.37
    ukone
    0.37
    Activations Density 0.212%

    No Known Activations