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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. 0-RES-JB
    11. 11579
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    Explanations

    athletic individuals or sports-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to athletes and athleticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trap
    -0.73
     Ghost
    -0.64
     moth
    -0.64
     dir
    -0.64
    Roaming
    -0.63
     Haunted
    -0.63
     Abandon
    -0.63
    anus
    -0.63
     Plague
    -0.62
     Reaper
    -0.61
    POSITIVE LOGITS
     athletes
    3.58
     athlete
    3.08
     Athlet
    2.73
     wrestlers
    2.08
     athletics
    1.99
     athletic
    1.93
     athlet
    1.91
     sports
    1.65
     Olympic
    1.61
     coaches
    1.58
    Activations Density 0.010%

    No Known Activations