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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. 7-RES-JB
    11. 10987
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    Explanations

    locations or addresses, particularly in Panama, San Jose, Boston, London, Fairfax, Detroit, Vancouver, Tel Aviv, Ohio, Ontario, Halifax, Baghdad, Massachusetts, Portland, Oakland, San Diego, and other specific cities

    oai_token-act-pair · gpt-3.5-turbo

    locations and geographical references in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contingency
    -0.71
     successes
    -0.64
     positives
    -0.64
     crop
    -0.62
    =/
    -0.61
     punishments
    -0.59
     enrol
    -0.58
     shortages
    -0.58
    ISA
    -0.57
     openings
    -0.57
    POSITIVE LOGITS
     Junction
    0.88
     Heights
    0.81
     Township
    0.78
     suburb
    0.75
    opolis
    0.75
     Springs
    0.74
    hess
    0.73
    uyomi
    0.73
    ibia
    0.69
    ensis
    0.69
    Activations Density 0.310%

    No Known Activations