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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5063
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    Explanations

    medical conditions or emergencies

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with acute conditions or experiences

    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
    wagen
    -0.97
    essee
    -0.80
    hov
    -0.79
    pherd
    -0.78
    vous
    -0.77
    hops
    -0.73
    yards
    -0.73
    ships
    -0.73
    tz
    -0.72
    ertodd
    -0.71
    POSITIVE LOGITS
     coronary
    0.85
     acute
    0.84
     exacerb
    0.79
     respiratory
    0.78
     poisoning
    0.76
     distress
    0.73
     sensitivity
    0.73
    ptoms
    0.72
    entimes
    0.71
     shortage
    0.71
    Activations Density 0.007%

    No Known Activations