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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to patients in medical contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to patients in medical contexts

    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
    ģ«
    -0.88
    angular
    -0.83
    oras
    -0.76
    redits
    -0.76
    argon
    -0.72
    eryl
    -0.71
    ordan
    -0.71
    eele
    -0.71
    dor
    -0.70
    ORED
    -0.68
    POSITIVE LOGITS
     patient
    0.86
     patients
    0.84
    killer
    0.82
     Patient
    0.79
     confidentiality
    0.79
    ients
    0.77
    isky
    0.76
     Patients
    0.75
    killers
    0.74
    bay
    0.74
    Activations Density 0.015%

    No Known Activations