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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 766
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    Explanations

    information about weather conditions and related topics

    oai_token-act-pair · gpt-3.5-turbo

    references to weather conditions and temperature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.79
    cyclopedia
    -0.77
    mberg
    -0.75
     Ethics
    -0.74
    Voice
    -0.73
    sych
    -0.73
    ingen
    -0.72
    aughs
    -0.72
    acters
    -0.71
    advertising
    -0.71
    POSITIVE LOGITS
     rainy
    1.87
     rains
    1.87
     weather
    1.83
     winters
    1.79
     winter
    1.76
     rain
    1.74
     temperatures
    1.70
     storms
    1.64
     chilly
    1.62
     drought
    1.62
    Activations Density 0.673%

    No Known Activations