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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11291
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    Explanations

    references to railways 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 @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dhabi
    -0.54
    licone
    -0.53
    PickerController
    -0.52
     nakalista
    -0.52
     resourceCulture
    -0.52
     Palmas
    -0.50
    tvguidetime
    -0.50
    EDEFAULT
    -0.48
    ellido
    -0.47
     ddelweddau
    -0.47
    POSITIVE LOGITS
     railroad
    1.16
     railway
    1.13
     rail
    1.07
     Railway
    1.02
     Railroad
    1.00
     train
    0.99
     Railways
    0.94
    Rail
    0.93
     railways
    0.91
    Railway
    0.91
    Activations Density 0.246%

    No Known Activations