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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. 146
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    Explanations

    words related to special teams in sports, particularly football

    oai_token-act-pair · gpt-3.5-turbo

    references to special operations and teams

    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
    ãĤ¨ãĥ«
    -0.71
    stein
    -0.70
    connection
    -0.69
    atu
    -0.69
    bid
    -0.69
    banks
    -0.68
    amaz
    -0.67
    dash
    -0.67
    abase
    -0.66
    azaki
    -0.65
    POSITIVE LOGITS
     units
    0.79
     raids
    0.74
     Squadron
    0.73
     operative
    0.73
     unit
    0.73
     operatives
    0.72
    rared
    0.66
     sle
    0.66
     Forces
    0.66
     Organizations
    0.66
    Activations Density 0.072%

    No Known Activations