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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. 5321
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    INDEX
    Explanations

    technical acronyms and abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    prominent characters or entities in a narrative context

    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
     indexes
    -0.73
     probabilities
    -0.70
     organs
    -0.69
     rats
    -0.67
     dogs
    -0.67
     disks
    -0.67
     directions
    -0.66
     rooms
    -0.65
     cigars
    -0.65
     motions
    -0.64
    POSITIVE LOGITS
    ccording
    1.11
    uthor
    0.99
    nikov
    0.94
    etus
    0.90
    fter
    0.82
    aurus
    0.80
    ritz
    0.79
    ylum
    0.78
    zona
    0.78
    heim
    0.77
    Activations Density 0.225%

    No Known Activations