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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. 17296
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    phrases related to medical emergencies and treatment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to medical emergencies and hospitalizations

    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
     monopoly
    -0.84
     monopol
    -0.82
     rebell
    -0.75
     bandwagon
    -0.73
     tyrann
    -0.72
     dynasty
    -0.70
     à¨
    -0.70
     rivalry
    -0.69
     hegemony
    -0.67
     envy
    -0.67
    POSITIVE LOGITS
     hospital
    1.05
     medically
    1.03
    utic
    1.01
     paramedics
    1.01
    ospital
    0.99
    EMS
    0.95
     Medical
    0.95
     psychiatric
    0.94
     hospitalized
    0.90
    Doctors
    0.90
    Activations Density 0.303%

    No Known Activations