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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. 12413
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    INDEX
    Explanations

    mentions of specific names or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals and places

    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
    enegger
    -0.93
    rophic
    -0.85
    dimensional
    -0.72
    astered
    -0.70
    oggles
    -0.69
     headset
    -0.69
    izoph
    -0.68
    gamer
    -0.68
    otropic
    -0.66
     probable
    -0.66
    POSITIVE LOGITS
     Sana
    0.98
     Aman
    0.90
    ql
    0.90
    Ò
    0.89
    egu
    0.82
    uine
    0.79
    uthor
    0.78
    ji
    0.76
    ffe
    0.76
    ce
    0.76
    Activations Density 0.006%

    No Known Activations