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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 388
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    references to professionals and their qualifications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    msgTypes
    -0.49
    providedIn
    -0.48
     StatelessWidget
    -0.41
    więks
    -0.41
    ✨:
    -0.40
     sostenible
    -0.40
    SequentialGroup
    -0.39
     Signed
    -0.39
    óculos
    -0.39
    flink
    -0.39
    POSITIVE LOGITS
     experts
    0.82
     expert
    0.76
    experts
    0.69
    expert
    0.65
     trained
    0.63
     engineers
    0.61
    experienced
    0.61
     experienced
    0.60
     skilled
    0.58
     specialists
    0.58
    Activations Density 0.463%

    No Known Activations