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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12118
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    references to collagen and related cosmetic treatments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AutoScaleMode
    -0.54
    enterOuterAlt
    -0.47
    ]")]
    -0.44
    Pautan
    -0.42
     Infórmanos
    -0.42
    󠁴
    -0.41
    amerikanischer
    -0.39
     racks
    -0.39
     traductions
    -0.38
    tagHelperRunner
    -0.38
    POSITIVE LOGITS
     vård
    0.59
     intensely
    0.59
     repairing
    0.58
     intensively
    0.56
     hydrating
    0.52
     boosting
    0.50
     deeply
    0.49
     plump
    0.48
    Repair
    0.47
     nourishing
    0.47
    Activations Density 0.293%

    No Known Activations