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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of doctors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "doctors"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.78
    yss
    -0.75
     Sic
    -0.67
    Topics
    -0.65
     volatile
    -0.63
    148
    -0.63
     Sit
    -0.63
    ---------
    -0.62
     Huff
    -0.62
     Ferguson
    -0.62
    POSITIVE LOGITS
     doctors
    1.01
    amacare
    0.88
     doctor
    0.86
    inks
    0.85
     corrid
    0.83
     clinicians
    0.83
     Doctors
    0.83
    ettings
    0.83
    aret
    0.82
    icians
    0.81
    Activations Density 0.013%

    No Known Activations