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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. 10850
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    terms related to attracting attention or interest

    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
    transQ
    -0.72
     $_(
    -0.69
    ConstraintMaker
    -0.68
     $_"
    -0.67
     виправивши
    -0.63
     Efq
    -0.63
     '\\;'
    -0.61
     MessageBoxIcon
    -0.61
     poffible
    -0.60
     Roskov
    -0.60
    POSITIVE LOGITS
     attract
    0.61
     attracting
    0.45
     attracted
    0.44
     gather
    0.43
     attractions
    0.43
     ser
    0.41
     fin
    0.41
     Gather
    0.40
     gathering
    0.39
     Gathering
    0.39
    Activations Density 0.307%

    No Known Activations