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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. 7-RES-JB
    11. 7436
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    INDEX
    Explanations

    quantitative comparisons between different entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparisons or multiplicative relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liction
    -0.91
    Reviewer
    -0.83
    aceous
    -0.80
    arty
    -0.76
    ja
    -0.75
    ists
    -0.73
    RAW
    -0.72
    ourt
    -0.71
    ategor
    -0.70
    mble
    -0.68
    POSITIVE LOGITS
     consecut
    0.82
    cale
    0.76
    avier
    0.75
    paces
    0.70
     magnification
    0.68
    bill
    0.67
     cheaper
    0.66
     faster
    0.66
    points
    0.64
     slower
    0.64
    Activations Density 0.029%

    No Known Activations