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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. 13451
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    Explanations

    the word "rib" at varying levels of specificity

    oai_token-act-pair · gpt-3.5-turbo

    references to ribs, both in anatomical and culinary contexts

    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
     Sunny
    -0.85
     GOODMAN
    -0.82
     SOS
    -0.76
     Ceres
    -0.75
    eanor
    -0.72
     Gunn
    -0.68
     Suc
    -0.68
    CHO
    -0.68
     Coastal
    -0.67
     largeDownload
    -0.66
    POSITIVE LOGITS
    bons
    1.34
    bones
    0.99
     rib
    0.98
    bed
    0.94
    bent
    0.94
     Rib
    0.92
    bon
    0.92
    bone
    0.90
     ribs
    0.89
    bit
    0.89
    Activations Density 0.004%

    No Known Activations