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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to the platform "YouTube."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the platform YouTube

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    riott
    -0.74
    esthetic
    -0.72
    alez
    -0.70
     Ballard
    -0.67
    bery
    -0.67
    rieg
    -0.66
    agher
    -0.66
    omaly
    -0.66
     Sax
    -0.65
    luster
    -0.65
    POSITIVE LOGITS
    YouTube
    1.10
     videos
    0.99
    uploads
    0.90
     Videos
    0.89
     youtube
    0.88
    thumbnails
    0.87
     Video
    0.86
    plays
    0.85
    Video
    0.85
    Upload
    0.82
    Activations Density 0.010%

    No Known Activations