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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 14422
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    keywords related to organizational activities and efficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     
    -0.35
     the
    -0.35
     potest
    -0.35
     Toronto
    -0.32
     Canada
    -0.32
     railway
    -0.32
     work
    -0.31
     "
    -0.31
     skall
    -0.31
     oeuvres
    -0.30
    POSITIVE LOGITS
     realisation
    2.02
     optimisation
    2.02
     generalised
    1.97
     standardised
    1.95
     realises
    1.91
     optimise
    1.91
     specialise
    1.91
     optimised
    1.91
     organise
    1.89
     realising
    1.89
    Activations Density 0.140%

    No Known Activations