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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 1498
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    Explanations

    the word "very" as well as references to mechanical parts related to gear systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    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
    -0.56
    WaitGroup
    -0.46
    EndContext
    -0.44
    argout
    -0.44
     désolés
    -0.43
    errHandler
    -0.42
    Descarga
    -0.39
     Homme
    -0.39
    endphp
    -0.39
     zac
    -0.39
    POSITIVE LOGITS
     gear
    0.78
     sense
    0.70
    gear
    0.67
    sense
    0.66
     Gear
    0.66
     Bewußt
    0.66
    Gear
    0.64
     GEAR
    0.57
     very
    0.55
    RTGC
    0.52
    Activations Density 0.211%

    No Known Activations