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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. 13829
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    Explanations

    phrases introducing a professional or academic position or title, possibly part of a quote or article

    oai_token-act-pair · gpt-3.5-turbo

    references to professionals and their qualifications

    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
    bucks
    -0.71
    fuck
    -0.69
    tumblr
    -0.68
     proves
    -0.64
     proved
    -0.64
    rats
    -0.62
     premiered
    -0.60
     differed
    -0.60
     barg
    -0.59
     hinges
    -0.59
    POSITIVE LOGITS
    veland
    0.76
     sociology
    0.73
    vale
    0.71
     Liberties
    0.69
    itsch
    0.69
    olulu
    0.68
     dean
    0.67
    etz
    0.66
    orney
    0.66
    keye
    0.65
    Activations Density 0.127%

    No Known Activations