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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. 7-RES-JB
    11. 24178
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    Explanations

    mentions of hospitals

    oai_token-act-pair · gpt-3.5-turbo

    references to hospitals and hospital-related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lass
    -0.84
     Helpful
    -0.75
    yip
    -0.75
    ozy
    -0.72
    BOOK
    -0.72
    xual
    -0.72
    wcsstore
    -0.68
    chnology
    -0.66
    lang
    -0.66
    xit
    -0.66
    POSITIVE LOGITS
    itals
    0.98
    ity
    0.90
    ization
    0.83
     outpatient
    0.79
     patients
    0.78
     NHS
    0.77
    opath
    0.76
     Patients
    0.76
    ilitating
    0.75
     admissions
    0.75
    Activations Density 0.028%

    No Known Activations