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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5361
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    Explanations

    terms related to health risks and medical conditions associated with substances or environmental factors

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

    Preceding words "can," "that," or "may"

    np_acts-logits-general · gemini-2.0-flash

    causes negative outcomes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
     виправивши
    -0.66
    醐
    -0.63
     hoffe
    -0.59
     Monfieur
    -0.56
     Efq
    -0.56
     insuring
    -0.54
    ſelf
    -0.54
     poffible
    -0.54
     affording
    -0.53
     achieving
    -0.52
    POSITIVE LOGITS
     wre
    0.71
     negatively
    0.69
     adversely
    0.61
     resourceCulture
    0.60
     impair
    0.58
     Messing
    0.58
     predis
    0.55
     damages
    0.55
     Réponses
    0.54
     cause
    0.54
    Activations Density 0.285%

    No Known Activations