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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. 4-RES-JB
    11. 2941
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    INDEX
    Explanations

    mentions of future time frames, particularly the upcoming year

    oai_token-act-pair · gpt-3.5-turbo

    references to the upcoming year

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

    No Comments

    Negative Logits
    gotten
    -0.78
    ocker
    -0.74
    esse
    -0.67
    Case
    -0.67
    76561
    -0.64
    nered
    -0.62
    ById
    -0.60
    otto
    -0.59
     footh
    -0.59
     downside
    -0.57
    POSITIVE LOGITS
    cture
    0.86
    oldown
    0.71
     onwards
    0.70
    ruary
    0.70
    livion
    0.69
    interstitial
    0.67
    fuck
    0.63
     Rampage
    0.63
    nings
    0.61
    study
    0.61
    Activations Density 0.061%

    No Known Activations