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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. 2418
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    INDEX
    Explanations

    references to sports playoffs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of playoff games or competitions

    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
    irit
    -0.73
     Kus
    -0.69
     Gest
    -0.67
    hid
    -0.67
     Instruments
    -0.65
    imir
    -0.63
    Ul
    -0.63
    AH
    -0.62
    sel
    -0.62
    andestine
    -0.62
    POSITIVE LOGITS
     playoff
    3.24
     Playoff
    2.62
     postseason
    2.42
     playoffs
    2.24
     Playoffs
    2.00
     championship
    1.47
     Finals
    1.38
     preseason
    1.27
     relegation
    1.25
     championships
    1.23
    Activations Density 0.009%

    No Known Activations