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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. 15408
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    INDEX
    Explanations

    media and entertainment related terms, including TV, books, interviews, and reviews

    oai_token-act-pair · gpt-3.5-turbo

    references to events and activities related to media and 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
    cale
    -0.78
    fecture
    -0.77
    orah
    -0.76
    ressor
    -0.74
    uana
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.72
    rower
    -0.71
     plaintiff
    -0.70
     Located
    -0.69
    afia
    -0.67
    POSITIVE LOGITS
     announcements
    1.60
     presentations
    1.60
     speeches
    1.54
     essays
    1.45
     statements
    1.42
     jokes
    1.42
     videos
    1.41
     anecdotes
    1.39
     declarations
    1.38
     stories
    1.37
    Activations Density 0.617%

    No Known Activations