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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7215
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    terms related to rail systems and lenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Grüsse
    -0.43
    zahn
    -0.43
     supporters
    -0.41
    mbert
    -0.40
     Duggan
    -0.40
    ContentAlignment
    -0.39
    imedes
    -0.39
     desc
    -0.38
     fou
    -0.38
    licas
    -0.38
    POSITIVE LOGITS
    SequentialGroup
    0.95
     privilege
    0.68
     rail
    0.67
     lens
    0.66
    privilege
    0.65
     Lens
    0.61
    Lens
    0.61
     RAIL
    0.60
     Stimulus
    0.60
     stimulus
    0.60
    Activations Density 0.386%

    No Known Activations