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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. 0-RES-JB
    11. 6793
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    Explanations

    mentions of medical patients

    oai_token-act-pair · gpt-3.5-turbo

    references to patients in a medical or healthcare context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     feat
    -0.72
     blasphemy
    -0.70
     spoiler
    -0.64
     manned
    -0.62
     united
    -0.62
     Park
    -0.62
     lens
    -0.61
     OMG
    -0.61
     bat
    -0.60
     overt
    -0.60
    POSITIVE LOGITS
    ients
    4.92
    ient
    1.83
    iency
    1.76
    iencies
    1.57
    IENT
    1.42
    iences
    1.38
    ience
    1.34
    iances
    1.26
    encies
    1.21
    ivities
    1.20
    Activations Density 0.020%

    No Known Activations