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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. 9-RES-JB
    11. 4302
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    Explanations

    references or mentions of specific books

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isu
    -0.90
    aceous
    -0.76
    nexus
    -0.69
    gpu
    -0.69
    ously
    -0.68
    uca
    -0.66
    assetsadobe
    -0.66
    ":""},{"
    -0.65
    embed
    -0.65
    rouse
    -0.65
    POSITIVE LOGITS
     Mormon
    0.95
     Lists
    0.94
     Contents
    0.93
     Spells
    0.87
     Memories
    0.85
     Bones
    0.82
     Ages
    0.79
     Causes
    0.78
     Records
    0.78
     Acts
    0.75
    Activations Density 0.059%

    No Known Activations