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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. 20700
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    Explanations

    names of athletes or sports-related terms

    oai_token-act-pair · gpt-3.5-turbo

    names or abbreviations related to players and teams in sports contexts

    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
     Feminist
    -0.82
     UNESCO
    -0.82
    enegger
    -0.76
     Capitalism
    -0.75
     Idle
    -0.74
     authorised
    -0.73
     unsupported
    -0.71
     Quartz
    -0.71
     Governments
    -0.71
     Merkel
    -0.69
    POSITIVE LOGITS
    NBA
    1.04
     rookie
    0.99
    ESPN
    0.98
    Coach
    0.98
     Rookie
    0.98
     teammate
    0.96
    Player
    0.95
    NFL
    0.95
     undrafted
    0.95
     fullback
    0.93
    Activations Density 0.241%

    No Known Activations