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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14787
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    INDEX
    Explanations

    elements related to character performance and dialogue quality in films

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

    Negative sentiment or criticism

    np_acts-logits-general · gemini-2.0-flash

    little bit informal

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.71
     '\\;'
    -0.69
    #
    -0.68
    liosis
    -0.60
    ImageContext
    -0.59
    ännande
    -0.58
     utford
    -0.58
    Filmographie
    -0.57
    ellingham
    -0.57
    UrlResolution
    -0.54
    POSITIVE LOGITS
     boring
    1.34
     bland
    1.19
     uninteresting
    1.13
    boring
    1.11
     Boring
    1.08
     dull
    1.08
    Boring
    1.06
    bland
    1.01
     yawn
    1.00
     monotonous
    0.97
    Activations Density 0.455%

    No Known Activations