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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. 6-RES-JB
    6. 6331
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    INDEX
    Explanations

    information that includes numbers within parentheses, specifically high activation on (10) and (9) along with some (8) activations

    oai_token-act-pair · gpt-3.5-turbo

    multiple parentheses in a scientific or analytical context

    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
     Lumpur
    -0.76
     lull
    -0.71
    quished
    -0.69
     icy
    -0.65
     tempted
    -0.65
     glare
    -0.64
     swoop
    -0.64
     ally
    -0.63
     reneg
    -0.63
     beaten
    -0.62
    POSITIVE LOGITS
    see
    1.54
    including
    1.40
    Figure
    1.34
    sic
    1.31
    emphasis
    1.28
    excluding
    1.27
    both
    1.24
    which
    1.23
    such
    1.23
    typically
    1.23
    Activations Density 0.162%

    No Known Activations