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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. 9-RES-JB
    6. 6275
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    INDEX
    Explanations

    variations or differences in quantities, proportions, or characteristics in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to variability and differences

    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
    odore
    -0.81
    tur
    -0.78
    zyk
    -0.73
    stra
    -0.71
    swick
    -0.71
    Bern
    -0.68
    tri
    -0.68
    gets
    -0.68
    TE
    -0.67
    oops
    -0.65
    POSITIVE LOGITS
     wildly
    1.10
     degrees
    1.10
     depending
    1.02
     widely
    0.99
     markedly
    0.98
     geographically
    0.97
     between
    0.96
     considerably
    0.95
     greatly
    0.90
     enormously
    0.90
    Activations Density 0.064%

    No Known Activations