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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 2140
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    Explanations

    mentions of titanium and nickel in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.67
     оригіналу
    -0.67
    thâu
    -0.66
     bayonet
    -0.65
     ſee
    -0.63
     NSCoder
    -0.63
     auxili
    -0.61
    setVerticalGroup
    -0.60
    Демографія
    -0.60
     yoda
    -0.59
    POSITIVE LOGITS
     ti
    0.86
     Ti
    0.80
     linked
    0.79
     Ty
    0.79
     referenced
    0.77
     ty
    0.76
     associated
    0.74
     ти
    0.71
     ni
    0.69
    TY
    0.68
    Activations Density 0.130%

    No Known Activations