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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
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    Explanations

    words related to distraction and being distracted

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distraction and the act of diverting attention

    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
    iders
    -0.68
     Marathon
    -0.61
     accepted
    -0.60
    cko
    -0.59
    owder
    -0.59
    DNA
    -0.58
     Laurel
    -0.58
    stood
    -0.58
    anne
    -0.56
    nai
    -0.56
    POSITIVE LOGITS
     distract
    0.90
    bus
    0.81
    wcs
    0.78
    ragon
    0.77
     distractions
    0.77
     distraction
    0.75
    staff
    0.74
     distracted
    0.74
    alus
    0.72
    rums
    0.72
    Activations Density 0.013%

    No Known Activations