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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9499
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    Explanations

    quantitative data or statistics related to financial or market metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    followed by "has," "is," or preposition

    np_acts-logits-general · gemini-2.0-flash

    quantifiable metrics and changes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lanterna
    -0.49
    Rhestr
    -0.47
     Wier
    -0.44
    rungsseite
    -0.43
     Acc
    -0.42
    iyor
    -0.42
    쩔
    -0.41
     Scho
    -0.41
     Cop
    -0.41
     daggers
    -0.40
    POSITIVE LOGITS
    цездатний
    0.47
    IsMutable
    0.42
     públicos
    0.37
    が増
    0.37
     резко
    0.36
    améliorer
    0.35
     migliorare
    0.35
     undergo
    0.35
     gewinnt
    0.35
    optionalTypeArgs
    0.35
    Activations Density 0.542%

    No Known Activations