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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
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    Explanations

    the word "doctors" occurring in various contexts, including prescribing medications, medical recommendations, and healthcare challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to doctors and their roles in medical practices

    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
     Territories
    -0.99
     Flavoring
    -0.84
    uble
    -0.61
    ptions
    -0.61
    regate
    -0.61
     Rivals
    -0.60
     Liberation
    -0.60
    âĸ¬
    -0.59
     Dwar
    -0.59
     Strongh
    -0.59
    POSITIVE LOGITS
     prescribing
    0.95
     doctor
    0.94
    doctor
    0.89
    icians
    0.89
     specializing
    0.86
     practitioner
    0.85
     examiner
    0.85
     treating
    0.82
     physician
    0.82
     doctors
    0.81
    Activations Density 0.039%

    No Known Activations