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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12723
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    Explanations

    terms related to transportation infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    complexContent
    -0.49
     Street
    -0.45
    piram
    -0.43
    RenderAtEndOf
    -0.42
     pungkasnya
    -0.42
     CascadeType
    -0.41
    Referencias
    -0.39
     '\\;'
    -0.39
     AssemblyCulture
    -0.38
    spitze
    -0.38
    POSITIVE LOGITS
     dirt
    0.60
     track
    0.55
     bridle
    0.53
     winding
    0.53
     tracks
    0.52
    dirt
    0.50
     Magist
    0.48
     sealed
    0.48
     surfaced
    0.48
     connecting
    0.47
    Activations Density 0.472%

    No Known Activations