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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7683
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    references to tubes and tubular structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NOISE
    -0.45
     apost
    -0.41
    RADIO
    -0.40
     noise
    -0.40
     Naj
    -0.40
    tigkeits
    -0.39
     Bioaccumulative
    -0.38
     dié
    -0.38
    Noise
    -0.38
     combustível
    -0.38
    POSITIVE LOGITS
     bundle
    1.13
     Bundle
    1.02
     tube
    0.96
     capsule
    0.93
     tablet
    0.93
     bundles
    0.88
     Tube
    0.84
     tub
    0.83
    bundle
    0.83
     sleeve
    0.82
    Activations Density 0.108%

    No Known Activations