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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. 2698
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    Explanations

    quotations or reported speech beginning with specific punctuation patterns

    oai_token-act-pair · gpt-3.5-turbo

    the repeated occurrence of a specific character or string in the text

    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
     CLR
    -0.73
     scattering
    -0.71
     backdrop
    -0.71
     tension
    -0.68
     blending
    -0.67
     Allied
    -0.66
     rotating
    -0.66
     contrasting
    -0.66
     alternating
    -0.64
     prevailing
    -0.64
    POSITIVE LOGITS
    ï¸ı
    1.09
    ebook
    0.91
    ese
    0.88
    mite
    0.87
    eah
    0.86
    t
    0.85
    s
    0.84
    eal
    0.84
    tain
    0.84
    abad
    0.81
    Activations Density 0.205%

    No Known Activations