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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. 10-RES-JB
    11. 8441
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    Explanations

    statistics in the form of numbers

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Introduced
    -0.59
    abus
    -0.58
    Acknowled
    -0.58
    wcsstore
    -0.57
     withdrew
    -0.57
     suppliers
    -0.56
     Bezos
    -0.55
     proceeding
    -0.55
    soon
    -0.55
    ggle
    -0.54
    POSITIVE LOGITS
     respectable
    0.99
     averages
    0.92
     422
    0.85
     career
    0.83
     121
    0.80
     346
    0.80
     averaged
    0.80
     totals
    0.79
     meager
    0.79
     344
    0.79
    Activations Density 0.126%

    No Known Activations