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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. 2-RES-JB
    6. 12881
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    Explanations

    video titles urging viewers to watch

    oai_token-act-pair · gpt-3.5-turbo

    content that promotes or emphasizes the act of watching certain videos or shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recl
    -0.68
     academia
    -0.67
     nowhere
    -0.66
    urally
    -0.66
    clusively
    -0.65
     plagiar
    -0.65
     humble
    -0.64
     beet
    -0.63
     sucker
    -0.63
     disinteg
    -0.63
    POSITIVE LOGITS
     WATCH
    1.41
     WATCHED
    1.08
     Thumbnails
    1.06
     Watching
    1.06
     VIDEOS
    0.99
    WATCH
    0.94
    ]}
    0.92
     Watch
    0.89
    LIST
    0.81
    IELD
    0.81
    Activations Density 0.005%

    No Known Activations