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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. 11-RES-JB
    11. 6211
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    Explanations

    words related to medical patients and medical treatment

    oai_token-act-pair · gpt-3.5-turbo

    references and mentions of patients in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oras
    -0.76
     actionGroup
    -0.71
    UTF
    -0.70
     Dunk
    -0.69
    ordan
    -0.68
    dust
    -0.68
    ãĥ©ãĥ³
    -0.65
     Skydragon
    -0.64
    auga
    -0.63
    angular
    -0.62
    POSITIVE LOGITS
     suffering
    1.08
     undergoing
    1.07
     diagnosed
    1.06
     hospitalized
    1.05
     patients
    1.05
     Patients
    1.03
    ysis
    0.99
     patient
    0.98
    ients
    0.90
     Patient
    0.88
    Activations Density 0.054%

    No Known Activations