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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. 857
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    Explanations

    medical terms and situations related to patients

    oai_token-act-pair · gpt-3.5-turbo

    references to patients in a medical context

    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
    ģ«
    -0.77
    dated
    -0.77
    redits
    -0.75
    inating
    -0.73
    Wars
    -0.70
    posted
    -0.69
    ãģ®å
    -0.69
    tein
    -0.66
    ordan
    -0.65
    é»Ĵ
    -0.64
    POSITIVE LOGITS
     patient
    1.07
     patients
    0.93
     Patient
    0.93
     Patients
    0.91
    ients
    0.82
    ient
    0.81
    bay
    0.80
    patient
    0.77
    atical
    0.73
     care
    0.72
    Activations Density 0.012%

    No Known Activations