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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. 21998
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    INDEX
    Explanations

    phrases indicating inclusion or conjunction, such as "both" and "and"

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and patterns of paired relationships or comparisons

    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
    oops
    -0.79
    Reviewed
    -0.77
    odore
    -0.75
    uel
    -0.73
    ãĤ¨
    -0.71
    ventus
    -0.70
    raq
    -0.70
    notations
    -0.69
    eks
    -0.69
    noon
    -0.69
    POSITIVE LOGITS
     ours
    0.96
     theirs
    0.79
     hers
    0.78
     outright
    0.77
     yours
    0.75
     nons
    0.75
    nam
    0.73
     actual
    0.72
     otherwise
    0.71
     nonex
    0.68
    Activations Density 0.117%

    No Known Activations