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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. 19534
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    Explanations

    words related to characteristics or descriptions of things

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to types and categories of experiences or phenomena

    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
    )</
    -0.72
     Signs
    -0.70
    ummies
    -0.65
    oppers
    -0.62
    eatures
    -0.62
    %);
    -0.62
     SQ
    -0.62
     Shed
    -0.62
    ovember
    -0.61
    ebus
    -0.59
    POSITIVE LOGITS
     imaginable
    0.72
     shenan
    0.70
     depending
    0.67
     guiActiveUnfocused
    0.67
    ··
    0.66
    manship
    0.65
    yip
    0.65
    ivalry
    0.62
    IBLE
    0.60
     arrangement
    0.60
    Activations Density 0.260%

    No Known Activations