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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. 8-RES-JB
    11. 7195
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    Explanations

    references to doctors or medical professionals

    oai_token-act-pair · gpt-3.5-turbo

    references to doctors and physicians

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.95
     Flavoring
    -0.72
     Dwar
    -0.63
     Rivals
    -0.61
     Passage
    -0.61
    âĸ¬
    -0.60
     Transit
    -0.60
     Runner
    -0.59
    CHAT
    -0.59
    wm
    -0.59
    POSITIVE LOGITS
     prescribing
    0.98
     doctor
    0.97
     specializing
    0.88
    doctor
    0.88
     diagnosed
    0.86
     treating
    0.85
     diagnoses
    0.85
     prescribe
    0.84
     doctors
    0.84
     physician
    0.84
    Activations Density 0.040%

    No Known Activations