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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1375
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    Explanations

    words related to medical conditions, particularly tumors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    ending in "ise", "sed", "our", or "ising"

    np_acts-logits-general · gemini-2.0-flash

    tumour, favourable, characterised

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MLLoader
    -0.56
    Permalink
    -0.52
     fVar
    -0.49
     препратки
    -0.43
     AssemblyVersion
    -0.42
    IMPORTED
    -0.42
    _^
    -0.41
     vôtre
    -0.41
     endforeach
    -0.40
    σθαι
    -0.40
    POSITIVE LOGITS
     tumour
    1.16
     neighbourhood
    1.16
     favour
    1.15
     colour
    1.15
     favourable
    1.14
     favoured
    1.10
     watercolour
    1.10
     neighbourhoods
    1.10
     programme
    1.09
    colour
    1.09
    Activations Density 0.690%

    No Known Activations