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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 7534
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    Explanations

    keywords related to submitting and processing applications for various purposes, such as residency, loans, and permits

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "application."

    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
    ottesville
    -0.73
    ilight
    -0.70
    feeding
    -0.69
     Assassins
    -0.68
     msec
    -0.68
    vern
    -0.67
    anson
    -0.67
    ktop
    -0.65
     Beef
    -0.65
    ideshow
    -0.64
    POSITIVE LOGITS
    URI
    0.83
     paperwork
    0.81
     deadline
    0.81
     submitted
    0.79
     Fee
    0.79
     fee
    0.79
     filed
    0.78
     submissions
    0.76
    Applic
    0.73
     visas
    0.73
    Activations Density 0.050%

    No Known Activations