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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. 3974
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    INDEX
    Explanations

    mentions of sporting events and match scores

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive matchups or games

    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
    oola
    -0.84
    icter
    -0.80
    overed
    -0.79
    wcs
    -0.77
    rison
    -0.77
    tube
    -0.75
    zl
    -0.74
    pmwiki
    -0.73
    hemy
    -0.72
    gow
    -0.72
    POSITIVE LOGITS
     opponents
    0.83
     Notre
    0.79
     Suzuki
    0.78
     opponent
    0.77
     foes
    0.75
     Samoa
    0.74
     adversity
    0.71
     Giants
    0.68
     Mae
    0.68
     fellow
    0.68
    Activations Density 0.052%

    No Known Activations