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

    mentions of the location "Salt Lake City"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Salt Lake City."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.72
    milo
    -0.72
     streng
    -0.71
     arrang
    -0.70
    schild
    -0.69
    bodied
    -0.66
    ãĤ¯
    -0.65
     conclud
    -0.63
     behavi
    -0.63
    payment
    -0.63
    POSITIVE LOGITS
     City
    0.99
    ois
    0.90
     County
    0.84
    adelphia
    0.81
    Leaks
    0.80
    orgetown
    0.78
    ites
    0.77
    ville
    0.75
     Lake
    0.75
     Confederation
    0.75
    Activations Density 0.009%

    No Known Activations