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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 13676
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    references to training programs and related curricula

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     training
    -1.20
     trained
    -1.15
     Training
    -1.09
    training
    -1.08
     TRAINING
    -1.07
    Training
    -1.05
    train
    -0.98
    TRAINING
    -0.93
     Trained
    -0.92
    Trained
    -0.91
    POSITIVE LOGITS
     wheels
    0.73
     Roskov
    0.67
    wheels
    0.66
    +#+#
    0.64
     Wheels
    0.60
     regimens
    0.54
    #
    0.52
    Wheels
    0.52
     يتيمه
    0.52
    wreck
    0.52
    Activations Density 0.175%

    No Known Activations