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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. 9-RES-JB
    11. 8766
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    INDEX
    Explanations

    sports team names and their related performance statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics or performance metrics in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bidden
    -0.80
    icter
    -0.75
    acted
    -0.73
    endants
    -0.70
    imately
    -0.68
    £
    -0.67
    hire
    -0.67
    farious
    -0.66
    fam
    -0.64
    tracks
    -0.64
    POSITIVE LOGITS
     playoffs
    0.83
     postseason
    0.80
     overtime
    0.74
     defeats
    0.73
     rematch
    0.69
     shootout
    0.67
    ĪĴ
    0.67
     Highlights
    0.66
    NRS
    0.66
     wins
    0.64
    Activations Density 0.164%

    No Known Activations