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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. 11-RES-JB
    11. 22540
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    Explanations

    medical conditions or injuries in a hospital setting

    oai_token-act-pair · gpt-3.5-turbo

    information related to injuries and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.87
    soDeliveryDate
    -0.86
    ftime
    -0.78
    20439
    -0.75
    oun
    -0.73
    mega
    -0.70
    [_
    -0.69
    ustom
    -0.68
    itor
    -0.67
    issance
    -0.66
    POSITIVE LOGITS
     injuries
    1.33
     burns
    1.29
     bruises
    1.28
     wounds
    1.27
     gunshot
    1.22
     dehydration
    1.12
     bruising
    1.06
     scratches
    1.05
     respiratory
    1.04
     fractures
    1.03
    Activations Density 0.116%

    No Known Activations