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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. 1-RES-JB
    11. 547
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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 @ 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
    othing
    -0.72
     vib
    -0.68
     Leth
    -0.68
    riott
    -0.67
    bery
    -0.66
    alez
    -0.64
    esthetic
    -0.64
     quarters
    -0.64
    heid
    -0.64
    adium
    -0.63
    POSITIVE LOGITS
    YouTube
    1.27
     YouTube
    0.99
     videos
    0.99
     youtube
    0.97
     Videos
    0.88
     Channel
    0.83
    Tube
    0.83
    uploads
    0.83
     Youtube
    0.82
    video
    0.81
    Activations Density 0.009%

    No Known Activations