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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. 6-RES-JB
    11. 533
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    INDEX
    Explanations

    comparisons indicating superiority or improvement

    oai_token-act-pair · gpt-3.5-turbo

    comparative expressions indicating superiority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xy
    -0.72
    uum
    -0.72
    urther
    -0.71
    LIN
    -0.68
    reenshot
    -0.68
    VT
    -0.67
    aque
    -0.66
    ern
    -0.66
    ural
    -0.64
    hran
    -0.64
    POSITIVE LOGITS
    lihood
    0.81
    average
    0.80
     ours
    0.79
     anybody
    0.75
     anything
    0.72
     average
    0.72
     anywhere
    0.72
     theirs
    0.69
     usual
    0.69
     averages
    0.68
    Activations Density 0.057%

    No Known Activations