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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. 11-RES-JB
    11. 24083
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    INDEX
    Explanations

    information related to achievements and performances in sports competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to Olympic events and achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    address
    -0.73
    Warning
    -0.72
    horn
    -0.66
    PDATED
    -0.63
    FIX
    -0.63
    ressing
    -0.63
    info
    -0.62
    /-
    -0.62
    Copy
    -0.61
    wait
    -0.60
    POSITIVE LOGITS
     tournaments
    1.06
     Worlds
    1.04
     qualifiers
    0.95
     Wim
    0.92
     nationals
    0.91
     finals
    0.90
     Championships
    0.90
     Sochi
    0.88
     championships
    0.88
     competitions
    0.88
    Activations Density 0.207%

    No Known Activations