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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16274
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    Explanations

    descriptions of injuries in sports

    oai_token-act-pair · gpt-3.5-turbo

    references to sports injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sylv
    -0.83
    soDeliveryDate
    -0.75
    Reviewer
    -0.68
    DragonMagazine
    -0.68
    isans
    -0.66
    izens
    -0.66
    Guide
    -0.65
    umerable
    -0.65
    enth
    -0.65
     Cosponsors
    -0.65
    POSITIVE LOGITS
     illness
    1.55
     injury
    1.48
     injuries
    1.44
     concussion
    1.38
     pneumonia
    1.28
     hamstring
    1.23
     ailments
    1.21
     leukemia
    1.17
     illnesses
    1.16
     inflammation
    1.16
    Activations Density 0.171%

    No Known Activations