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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 6112
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    Explanations

    references to 'trimming' or 'adjusting' content, particularly in a technical or design context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.62
    enderror
    -0.57
    StoryboardSegue
    -0.55
     مرئيه
    -0.54
    IntoConstraints
    -0.51
     haram
    -0.50
    msgSender
    -0.50
     Aram
    -0.49
    AndEndTag
    -0.49
    Referanser
    -0.48
    POSITIVE LOGITS
     trim
    0.54
     simplified
    0.53
     trimming
    0.50
     consistency
    0.50
     trims
    0.48
     trimmed
    0.47
     streamlined
    0.46
     Consistency
    0.46
    trimmed
    0.45
     clarity
    0.45
    Activations Density 0.293%

    No Known Activations