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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. 13968
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    Explanations

    mentions of physical injuries or players being sidelined due to injuries

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries

    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
    zees
    -0.82
    zee
    -0.79
    rows
    -0.74
     Cosponsors
    -0.74
    avanaugh
    -0.73
    ullivan
    -0.68
     Coat
    -0.68
    eton
    -0.67
    rets
    -0.66
    ét
    -0.66
    POSITIVE LOGITS
     inflicted
    0.97
     incurred
    0.90
     prevention
    0.90
     injury
    0.89
     sustained
    0.85
     suffered
    0.83
     plagued
    0.82
     Injury
    0.80
     riddled
    0.80
     replacements
    0.79
    Activations Density 0.026%

    No Known Activations