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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. 759
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    Explanations

    references to universal concepts or ideas

    oai_token-act-pair · gpt-3.5-turbo

    references to universal concepts and principles

    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
    mosp
    -0.88
    regon
    -0.78
     Khe
    -0.76
    manship
    -0.73
    cano
    -0.72
    ritz
    -0.72
    ometimes
    -0.70
    --------------------------------------------------------
    -0.69
    herty
    -0.69
    omez
    -0.69
    POSITIVE LOGITS
    ization
    1.08
    isation
    1.04
    ized
    1.01
    ised
    1.01
    isable
    0.98
    itarian
    0.98
    ITY
    0.96
    izable
    0.94
    ities
    0.93
     acclaim
    0.86
    Activations Density 0.018%

    No Known Activations