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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. 4977
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    INDEX
    Explanations

    references to sports teams: their strategies, players, achievements, and operations

    oai_token-act-pair · gpt-3.5-turbo

    references to teams and their activities or characteristics

    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
    conom
    -0.78
     grocer
    -0.73
    uphem
    -0.71
     prohibitions
    -0.69
     Starbucks
    -0.66
    oliberal
    -0.65
    idal
    -0.65
     corros
    -0.64
     Investor
    -0.64
     statute
    -0.63
    POSITIVE LOGITS
     disbanded
    1.00
     assembled
    0.84
     scrimmage
    0.82
     comprised
    0.81
     collabor
    0.81
     disband
    0.80
     consisting
    0.79
    iets
    0.78
    iHUD
    0.77
     preseason
    0.76
    Activations Density 0.581%

    No Known Activations