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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
    11. 6655
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    Explanations

    speed-related technical terms like data transfer speeds and frequencies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data transmission speeds and audio/video specifications

    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
    Not in Any Lists

    No Comments

    Negative Logits
    neys
    -0.81
    Austral
    -0.75
     prow
    -0.68
     resemblance
    -0.68
    ellar
    -0.68
    alus
    -0.67
     Fathers
    -0.67
    opic
    -0.67
    isner
    -0.66
    usky
    -0.65
    POSITIVE LOGITS
     increments
    0.99
    bps
    0.95
    ï¸ı
    0.86
     Mbps
    0.85
    +.
    0.83
    elsius
    0.77
    cale
    0.76
    fps
    0.76
     apiece
    0.75
    ±
    0.75
    Activations Density 0.016%

    No Known Activations