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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. 11509
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    Explanations

    references to hills, mountains, and laser technology

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     bahía
    -0.51
    Біографія
    -0.48
     anode
    -0.45
    ขอบคุณ
    -0.44
    </tfoot>
    -0.44
    sidemargin
    -0.43
     specchio
    -0.42
     flexibilidad
    -0.41
     AUSSI
    -0.41
     berp
    -0.40
    POSITIVE LOGITS
     mountains
    0.98
    mountains
    0.85
     Mountains
    0.85
     hills
    0.83
    Mountains
    0.80
     laser
    0.73
     Laser
    0.68
     imagination
    0.66
     montagnes
    0.66
     Imagination
    0.65
    Activations Density 0.094%

    No Known Activations