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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. 2-RES-JB
    11. 18798
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    Explanations

    sports-related terms, specifically related to team activities and positions within a team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.78
     tremend
    -0.67
    ISC
    -0.66
    pir
    -0.64
     concess
    -0.63
    iosyncr
    -0.63
     fer
    -0.62
     harsh
    -0.62
     behold
    -0.61
    aft
    -0.61
    POSITIVE LOGITS
    mates
    0.97
    mate
    0.84
    team
    0.81
    sters
    0.81
     mates
    0.79
    liquid
    0.73
    alion
    0.70
    hedral
    0.70
    hesis
    0.68
    sheet
    0.68
    Activations Density 0.010%

    No Known Activations