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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. 7210
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    Explanations

    phrases related to numbers and quantities, especially statistical information

    oai_token-act-pair · gpt-3.5-turbo
    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
     VIDEOS
    -0.65
     ¯
    -0.61
    catentry
    -0.60
    ¬¼
    -0.58
    wcsstore
    -0.58
    inventoryQuantity
    -0.55
    )</
    -0.55
    itsch
    -0.54
    soType
    -0.53
     Hiro
    -0.52
    POSITIVE LOGITS
     apiece
    0.88
    ogether
    0.74
     compared
    0.72
     ranging
    0.69
     equivalents
    0.69
     Including
    0.68
     collectively
    0.68
     respectively
    0.63
     totaling
    0.63
    total
    0.62
    Activations Density 1.093%

    No Known Activations