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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9994
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    Explanations

    references to magnetic properties and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wikimedijinoj
    -0.39
    ี้ย
    -0.33
     survey
    -0.33
     circonst
    -0.33
     Survey
    -0.33
     huom
    -0.33
     camp
    -0.32
     committee
    -0.31
    er
    -0.30
    =()
    -0.30
    POSITIVE LOGITS
     rail
    0.96
    Magnetic
    0.95
     Magnetic
    0.95
     magnetic
    0.95
    magnetic
    0.93
     Rail
    0.91
    rail
    0.91
    磁
    0.82
     rails
    0.82
     RAIL
    0.80
    Activations Density 0.080%

    No Known Activations