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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. 16604
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    Explanations

    numeric values with an 'x' in between for magnification settings

    oai_token-act-pair · gpt-3.5-turbo

    references to magnification factors and their associated values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    kson
    -0.74
     Lauder
    -0.69
     abiding
    -0.68
     contrace
    -0.68
    llah
    -0.67
    sburgh
    -0.66
    getic
    -0.64
     Aval
    -0.64
     Verge
    -0.62
     Garry
    -0.62
    POSITIVE LOGITS
    digit
    0.96
    LP
    0.91
    5
    0.81
    3
    0.80
    4
    0.80
    2
    0.79
    6
    0.79
    large
    0.78
     magnification
    0.78
    Large
    0.77
    Activations Density 0.019%

    No Known Activations