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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. 3-RES-JB
    11. 22910
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    INDEX
    Explanations

    keywords related to uncovering or revealing information

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "expose" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erent
    -0.69
    ricting
    -0.68
    tesy
    -0.67
    erva
    -0.66
    orders
    -0.65
    aque
    -0.65
    illard
    -0.65
     coordinate
    -0.63
    colo
    -0.63
    antry
    -0.63
    POSITIVE LOGITS
     exposing
    0.97
     Breach
    0.89
     Exposure
    0.81
     exposed
    0.80
     exposes
    0.80
     expose
    0.78
    é¾
    0.73
     sidel
    0.72
    itud
    0.71
    pose
    0.70
    Activations Density 0.013%

    No Known Activations