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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. 6-RES-JB
    11. 19741
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    Explanations

    medical injuries and conditions, particularly related to sports

    oai_token-act-pair · gpt-3.5-turbo

    specific injuries, particularly those related to ligament tears and other sports injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parties
    -0.76
     POLIT
    -0.74
     Noir
    -0.74
     Restaur
    -0.73
    Pand
    -0.71
    xtap
    -0.70
    folk
    -0.69
     Rewards
    -0.68
    leground
    -0.68
     supermarkets
    -0.68
    POSITIVE LOGITS
     tendon
    1.37
     injury
    1.25
     lig
    1.22
     injuries
    1.18
     ankle
    1.13
     Injury
    1.04
     concussion
    1.02
     hamstring
    1.01
     groin
    1.00
     injured
    0.99
    Activations Density 0.159%

    No Known Activations