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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. 7-RES-JB
    6. 10662
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    Explanations

    phrases related to comparison between things or concepts

    oai_token-act-pair · gpt-3.5-turbo

    comparisons or evaluations related to worth and significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pora
    -0.63
    oun
    -0.59
    othal
    -0.59
    ioxide
    -0.57
     unfocusedRange
    -0.54
     specifically
    -0.54
    utra
    -0.51
     clearly
    -0.50
    zik
    -0.49
     differently
    -0.49
    POSITIVE LOGITS
     imaginable
    0.57
    ERROR
    0.51
    EST
    0.51
    depending
    0.51
    é¾įå
    0.49
     BUR
    0.48
    *.
    0.48
    LECT
    0.48
     WARRANT
    0.48
    enance
    0.46
    Activations Density 1.004%

    No Known Activations