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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 6228
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    elements related to legal and driving infractions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tvguidetime
    -0.53
    setVerticalGroup
    -0.41
     menyem
    -0.40
    landır
    -0.39
     protoimpl
    -0.39
     kece
    -0.38
    fohlen
    -0.38
    irchen
    -0.36
    xodo
    -0.36
    FieldOffsetTable
    -0.36
    POSITIVE LOGITS
     driver
    2.53
     driving
    2.42
     drivers
    2.25
     Driver
    2.17
     Driving
    2.16
    driving
    2.13
    driver
    2.11
    Driving
    2.08
     Drivers
    2.03
    Driver
    2.02
    Activations Density 0.377%

    No Known Activations