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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 305
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    concepts related to training processes and optimization in neural networks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.60
    verwijspagina
    -0.60
     ویکی‌پدی
    -0.58
    uxxxx
    -0.56
     Taktlose
    -0.55
     tartalomajánló
    -0.53
    StructEnd
    -0.53
    GTCX
    -0.53
    ]")]
    -0.52
    Tembelea
    -0.52
    POSITIVE LOGITS
     training
    0.48
     fit
    0.44
     lezioni
    0.43
     risult
    0.43
    reon
    0.42
    GenerationType
    0.42
     calibrate
    0.42
     confronti
    0.41
     aprendizagem
    0.41
     treinamento
    0.41
    Activations Density 1.215%

    No Known Activations