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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. 5-RES-JB
    6. 19187
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    Explanations

    titles or names that are preceded by "Mr." and sometimes other titles as well

    oai_token-act-pair · gpt-3.5-turbo

    frequencies of the word "Mr." in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.97
    wcs
    -0.89
    izu
    -0.78
    ebook
    -0.77
     eleph
    -0.72
     coincide
    -0.70
    obyl
    -0.70
    arily
    -0.68
     calendars
    -0.67
    gypt
    -0.66
    POSITIVE LOGITS
    ItemTracker
    0.87
     Olympia
    0.80
     Venture
    0.73
     Surge
    0.72
     Incredible
    0.69
     Else
    0.68
     Jav
    0.68
     Stack
    0.67
     Hussein
    0.67
     Garrison
    0.67
    Activations Density 0.044%

    No Known Activations