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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 2761
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    Explanations

    references to geographic features, particularly hills and mountains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ')")
    -0.38
     Fos
    -0.36
    atista
    -0.35
    番
    -0.34
    ADVERTISEMENT
    -0.34
     Fresco
    -0.33
    折
    -0.33
    ("}\
    -0.33
     elect
    -0.33
     lautet
    -0.33
    POSITIVE LOGITS
     mountains
    1.35
     hills
    1.34
     hill
    1.32
     mountain
    1.19
     river
    1.16
     hillside
    1.14
     cliffs
    1.12
    mountains
    1.11
     beach
    1.09
     cliff
    1.05
    Activations Density 0.414%

    No Known Activations