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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. 22785
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    Explanations

    Hospitals

    oai_token-act-pair · gpt-3.5-turbo

    references to hospitals

    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
    -0.70
    $$
    -0.67
     stack
    -0.67
    lf
    -0.64
    uzzle
    -0.64
     Trace
    -0.60
    liner
    -0.60
    arius
    -0.60
    IQ
    -0.58
    Prop
    -0.57
    POSITIVE LOGITS
     hospitals
    3.65
     Hosp
    2.36
     hospital
    2.21
     pharmacies
    2.02
     clinics
    2.00
     Hospital
    1.99
    hospital
    1.94
     surgeons
    1.92
     nurses
    1.91
     airports
    1.76
    Activations Density 0.008%

    No Known Activations