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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 9113
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    Explanations

    titles of literary or cinematic works

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    findpost
    -0.68
    IntoConstraints
    -0.63
    KommentareTeilen
    -0.45
     resourceCulture
    -0.44
    исленность
    -0.43
    LayoutStyle
    -0.43
    WindowConstants
    -0.41
     الحره
    -0.40
     NSCoder
    -0.40
     onBind
    -0.39
    POSITIVE LOGITS
     Doctor
    0.90
    Doctor
    0.86
     regener
    0.76
     DOCTOR
    0.73
     UNIT
    0.73
     regeneration
    0.71
     Doctors
    0.70
     regenerate
    0.68
     regenerated
    0.68
    DOCTOR
    0.68
    Activations Density 0.221%

    No Known Activations