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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. 15711
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    INDEX
    Explanations

    references to sports standings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of game standings and rankings

    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
    covered
    -0.65
    demon
    -0.63
    inf
    -0.63
    lect
    -0.63
    mod
    -0.62
    dev
    -0.62
     param
    -0.61
    ted
    -0.60
    Material
    -0.60
    Mac
    -0.59
    POSITIVE LOGITS
     standings
    3.69
     rankings
    1.63
     scoreboard
    1.27
     Rankings
    1.26
     playoffs
    1.17
     rosters
    1.06
     fortunes
    1.03
     averages
    1.03
     championships
    1.02
     ratings
    1.02
    Activations Density 0.010%

    No Known Activations