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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. 1-RES-JB
    11. 1010
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    Explanations

    words related to distraction or diverting attention

    oai_token-act-pair · gpt-3.5-turbo

    references to distraction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iders
    -0.68
    ikers
    -0.60
     Paradise
    -0.60
     fateful
    -0.59
     Fight
    -0.59
     Marathon
    -0.58
     Cors
    -0.57
     degree
    -0.57
    than
    -0.57
    nai
    -0.57
    POSITIVE LOGITS
     distract
    0.97
     distracted
    0.89
    wcs
    0.82
    ĸļ
    0.78
    ments
    0.76
     awa
    0.75
    alus
    0.74
     detract
    0.74
    TextColor
    0.71
    bus
    0.70
    Activations Density 0.012%

    No Known Activations