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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. 6-RES-JB
    11. 13578
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    INDEX
    Explanations

    the word "limited" with varying degrees of emphasis or relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of limitations or restrictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashington
    -0.81
    tha
    -0.73
    CENT
    -0.71
    HEAD
    -0.69
    lyn
    -0.69
    NOR
    -0.68
    Oak
    -0.68
    ilon
    -0.67
    Mount
    -0.67
    mol
    -0.67
    POSITIVE LOGITS
     minded
    0.88
    inous
    0.85
     amount
    0.82
     amounts
    0.79
     collateral
    0.78
     exceptions
    0.77
     liability
    0.75
     lifespan
    0.74
     editions
    0.73
    restricted
    0.72
    Activations Density 0.028%

    No Known Activations