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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8643
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    INDEX
    Explanations

    references or citations in an academic context

    oai_token-act-pair · gpt-3.5-turbo

    reference indicators or citation links

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mindset
    -0.66
    ufact
    -0.63
     dominating
    -0.61
     scrim
    -0.61
     sophistication
    -0.59
     rece
    -0.59
     hous
    -0.58
     ploy
    -0.58
     ready
    -0.57
     autom
    -0.57
    POSITIVE LOGITS
    References
    1.29
    âĨij
    1.27
    External
    1.12
    Notes
    1.07
    Further
    1.04
    ibliography
    1.01
    Sources
    0.92
    Books
    0.92
    Wik
    0.89
    Reference
    0.88
    Activations Density 0.069%

    No Known Activations