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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. 6-RES-JB
    11. 7425
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    INDEX
    Explanations

    information about sports matches, players, and their statistics

    oai_token-act-pair · gpt-3.5-turbo

    events or milestones related to sports performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    instead
    -0.62
     Siber
    -0.59
    eday
    -0.58
    anwhile
    -0.55
    icter
    -0.54
     nep
    -0.54
    sylv
    -0.54
    enegger
    -0.54
     somet
    -0.53
    ascript
    -0.53
    POSITIVE LOGITS
     overtake
    0.62
     comeback
    0.60
     Belfast
    0.59
    \":
    0.59
     unbeaten
    0.59
     NRL
    0.57
     rebound
    0.56
     airstrike
    0.55
     Xperia
    0.55
     USL
    0.54
    Activations Density 1.396%

    No Known Activations