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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. 10-RES-JB
    11. 5456
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    INDEX
    Explanations

    medical terms and phrases related to patient care

    oai_token-act-pair · gpt-3.5-turbo

    references to patients and their conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oras
    -0.81
    OPA
    -0.75
    argon
    -0.73
    angular
    -0.69
     Dunk
    -0.68
    ordan
    -0.67
    UTF
    -0.67
     actionGroup
    -0.66
    å°Ĩ
    -0.65
    dust
    -0.65
    POSITIVE LOGITS
     patients
    1.12
     hospitalized
    1.05
     patient
    1.04
     Patients
    1.03
    ients
    1.02
     suffering
    1.00
     diagnosed
    1.00
     undergoing
    0.95
    ysis
    0.90
     Patient
    0.88
    Activations Density 0.047%

    No Known Activations