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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. 3-RES-JB
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    Explanations

    mentions of winning gold medals in sports competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to gold medals and their significance in competitive sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    othe
    -0.82
    rir
    -0.79
    APTER
    -0.74
    nu
    -0.73
    href
    -0.73
    ________________________
    -0.72
    Ware
    -0.72
    dfx
    -0.72
    lectic
    -0.69
    DragonMagazine
    -0.69
    POSITIVE LOGITS
     medal
    1.29
     Medal
    1.06
     medals
    0.98
     semifinals
    0.97
     finals
    0.95
     podium
    0.93
     trophy
    0.93
    iership
    0.91
     winner
    0.86
     championship
    0.85
    Activations Density 0.016%

    No Known Activations