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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. 9-RES-JB
    6. 18777
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    INDEX
    Explanations

    anomalies or events that are out of the ordinary

    oai_token-act-pair · gpt-3.5-turbo

    the keyword "unprecedented" and variations of it, indicating significant or extraordinary events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeb
    -0.73
    amar
    -0.72
    iants
    -0.72
    burn
    -0.71
    elsen
    -0.69
    éĸ
    -0.69
    rx
    -0.68
    uel
    -0.67
    ruction
    -0.67
    ney
    -0.67
    POSITIVE LOGITS
     circumstances
    0.93
     occurrences
    0.85
    ITIES
    0.81
     occurrence
    0.81
    LY
    0.80
    ities
    0.79
    judicial
    0.76
     circumstance
    0.75
    amount
    0.73
     unanim
    0.73
    Activations Density 0.086%

    No Known Activations