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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. 3-RES-JB
    11. 5124
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    INDEX
    Explanations

    various occurrences and discussions of different phenomena

    oai_token-act-pair · gpt-3.5-turbo

    references to various significant events or situations described as "phenomenon."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.95
    zar
    -0.81
    gar
    -0.79
    zik
    -0.78
    bey
    -0.72
    oglu
    -0.71
    zer
    -0.69
    llah
    -0.68
    zos
    -0.67
    rib
    -0.66
    POSITIVE LOGITS
     phenomenon
    1.04
    ually
    0.98
    ĸļ
    0.94
     phenomena
    0.87
    ively
    0.83
    pmwiki
    0.78
     occurrence
    0.77
     whereby
    0.75
    ional
    0.75
    rences
    0.74
    Activations Density 0.009%

    No Known Activations