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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 5738
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    Explanations

    references to railroads and related infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     abstrato
    -0.58
    FromNib
    -0.50
     negozi
    -0.43
     vertrouwen
    -0.42
     pagare
    -0.41
     peindre
    -0.41
    setPixel
    -0.41
    údos
    -0.40
     télévis
    -0.40
    nloa
    -0.40
    POSITIVE LOGITS
    rails
    0.91
    rail
    0.88
     rails
    0.84
     Rails
    0.78
    Rail
    0.73
     rail
    0.71
     RAIL
    0.71
    Rails
    0.68
     Rail
    0.67
    RAIL
    0.67
    Activations Density 0.317%

    No Known Activations