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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. 6487
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    Explanations

    phrases related to medical patients and their care

    oai_token-act-pair · gpt-3.5-turbo

    references to patients

    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
    pole
    -0.72
     Sphere
    -0.67
    official
    -0.66
    capt
    -0.65
    tag
    -0.64
    chain
    -0.64
    wagon
    -0.64
    trap
    -0.63
     Drake
    -0.62
     Babel
    -0.61
    POSITIVE LOGITS
     patients
    3.52
     Patients
    3.08
     patient
    2.34
     clinicians
    2.14
     physicians
    2.07
     Patient
    1.97
     surgeons
    1.94
     doctors
    1.85
     nurses
    1.85
    Doctors
    1.82
    Activations Density 0.014%

    No Known Activations