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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. 16860
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    Explanations

    sports-related terms and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to sports and gaming

    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
     Chiefs
    -0.74
    votes
    -0.67
     Replacement
    -0.66
     TRUMP
    -0.66
    aye
    -0.65
    otte
    -0.65
     (<
    -0.65
     Pension
    -0.64
     DHS
    -0.64
     Lauder
    -0.61
    POSITIVE LOGITS
     flourished
    0.97
    ateurs
    0.95
     fascinated
    0.89
     traditionally
    0.88
     booming
    0.86
     rife
    0.84
     inherently
    0.83
     evolving
    0.81
     pioneer
    0.81
    genre
    0.79
    Activations Density 0.589%

    No Known Activations