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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4966
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    references to valleys, particularly with a focus on elegance and geological features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ніципалі
    -0.48
     Díaz
    -0.45
     Johnny
    -0.44
    Johnny
    -0.43
    Friedrich
    -0.42
     Friedrich
    -0.42
     Macaulay
    -0.41
    ✷
    -0.41
    Jensen
    -0.40
     Ventura
    -0.40
    POSITIVE LOGITS
     étoit
    0.73
    Culti
    0.64
     refined
    0.63
     refine
    0.62
     elegant
    0.61
     pouvoit
    0.61
     refinement
    0.60
     Valley
    0.60
    culti
    0.60
     étoient
    0.59
    Activations Density 0.094%

    No Known Activations