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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. 8528
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    Explanations

    text related to medical procedures and hospital activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical procedures and surgeries

    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
     Strongh
    -0.95
     Rebellion
    -0.79
    wagen
    -0.74
     Electoral
    -0.74
     snowball
    -0.72
     bragging
    -0.72
     iPod
    -0.69
     pixels
    -0.68
     geopolitical
    -0.68
    chev
    -0.68
    POSITIVE LOGITS
     patients
    1.34
     Doctors
    1.34
     doctors
    1.30
     Canaver
    1.26
     nurses
    1.24
     medical
    1.23
    Doctors
    1.20
     outpatient
    1.19
     physicians
    1.19
     Patients
    1.18
    Activations Density 0.592%

    No Known Activations