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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. 10-RES-JB
    6. 21968
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    INDEX
    Explanations

    words and phrases related to sports teams and franchise management

    oai_token-act-pair · gpt-3.5-turbo

    terms related to franchises in sports or entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izoph
    -0.84
    board
    -0.79
    ynthesis
    -0.74
    rough
    -0.73
    sonian
    -0.72
    afa
    -0.71
    amples
    -0.69
    ools
    -0.67
    boards
    -0.66
    paces
    -0.66
    POSITIVE LOGITS
    eers
    1.05
     cornerstone
    0.92
     franchise
    0.83
    arily
    0.83
     franchises
    0.81
    ally
    0.78
    rats
    0.74
    e
    0.74
     patriarch
    0.73
     owners
    0.72
    Activations Density 0.033%

    No Known Activations