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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. 1-RES-JB
    11. 3373
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    INDEX
    Explanations

    quantitative data or numerical figures, particularly related to measurements or statistics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "statistics" and related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uran
    -0.79
    nee
    -0.77
    rin
    -0.72
    por
    -0.71
    Interstitial
    -0.69
    minent
    -0.67
     amb
    -0.65
    rib
    -0.64
    hold
    -0.63
    gur
    -0.63
    POSITIVE LOGITS
     statistics
    1.17
    Statistics
    1.02
     stats
    0.88
     Statistics
    0.88
     statistic
    0.86
     figures
    0.80
    models
    0.77
    ãĤ¼ãĤ¦ãĤ¹
    0.77
     Figures
    0.74
     Bunny
    0.74
    Activations Density 0.016%

    No Known Activations