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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    places named "Richmond"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Richmond

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nato
    -0.74
     immunity
    -0.69
    bos
    -0.65
     adapters
    -0.65
    ãĥ¡
    -0.65
     wi
    -0.64
    DragonMagazine
    -0.64
    Bind
    -0.64
     Haku
    -0.64
     XD
    -0.63
    POSITIVE LOGITS
     Richmond
    3.67
    Rich
    1.75
     Hampton
    1.65
     Surrey
    1.52
     Norfolk
    1.48
     Charlottesville
    1.47
     Fairfax
    1.47
    Virginia
    1.47
     Albany
    1.39
     Virginia
    1.39
    Activations Density 0.014%

    No Known Activations