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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. 1-RES-JB
    6. 4806
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    Explanations

    words or phrases related to watching or viewing content, such as "Watch" followed by a video title or description

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Watch."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctrl
    -0.78
    pex
    -0.73
     misunderstanding
    -0.66
    ãĤ¨ãĥ«
    -0.66
    interstitial
    -0.65
    acqu
    -0.65
     bleeding
    -0.64
     blunt
    -0.63
     academia
    -0.62
    xual
    -0.62
    POSITIVE LOGITS
     Watching
    1.28
    Watch
    1.26
    tower
    1.19
     Watch
    1.15
    watch
    1.07
     WATCH
    0.92
    Monitor
    0.86
    dog
    0.83
     watch
    0.83
     wat
    0.83
    Activations Density 0.008%

    No Known Activations