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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. 4-RES-JB
    11. 19672
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    Explanations

    professionals and their areas of expertise

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to professionals and their specializations or roles

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

    No Comments

    Negative Logits
    ptoms
    -0.79
    ukong
    -0.76
    Ĥİ
    -0.70
    uden
    -0.70
     dehuman
    -0.69
     specificity
    -0.68
     dots
    -0.67
     disrespect
    -0.65
     humiliating
    -0.65
    WAY
    -0.63
    POSITIVE LOGITS
    Initialized
    0.76
     longtime
    0.69
    worker
    0.68
     Aires
    0.67
     managing
    0.66
    director
    0.66
     specializing
    0.66
    pires
    0.64
     overseeing
    0.64
    founder
    0.64
    Activations Density 0.462%

    No Known Activations