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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14050
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    Explanations

    patterns of time management and personal scheduling in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Waray
    -0.52
    ponses
    -0.42
     Administrativna
    -0.42
    protoc
    -0.41
    Décès
    -0.41
    ContentLoaded
    -0.41
    saber
    -0.40
     Photocase
    -0.39
    ggiamento
    -0.39
    acamata
    -0.39
    POSITIVE LOGITS
     schedule
    1.08
     scheduling
    1.06
     devoting
    0.97
     schedules
    0.96
     Scheduling
    0.90
     devote
    0.90
    schedule
    0.85
     dedicate
    0.85
     dedicar
    0.84
     scheduled
    0.82
    Activations Density 0.475%

    No Known Activations