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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. 20283
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    technical specifications and measurements

    oai_token-act-pair · gpt-3.5-turbo

    the character "ĸ" in various contexts

    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
     Gamb
    -0.74
    arios
    -0.72
    olitan
    -0.71
    iewicz
    -0.70
     delinqu
    -0.69
     Lann
    -0.67
    inctions
    -0.66
    iful
    -0.66
     Afric
    -0.65
     Enlightenment
    -0.64
    POSITIVE LOGITS
    åĤ
    0.97
    gy
    0.96
    ï¸ı
    0.92
    ĸ
    0.91
    çķ
    0.91
    ¾
    0.90
    âĹ¼
    0.89
    nder
    0.83
    jab
    0.81
    git
    0.81
    Activations Density 0.003%

    No Known Activations