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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. 5-RES-JB
    6. 2005
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    Explanations

    technical terms related to equipment specifications

    oai_token-act-pair · gpt-3.5-turbo

    the character "ĸ" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arios
    -0.86
    olitan
    -0.82
     Gamb
    -0.78
    iewicz
    -0.73
     Lann
    -0.72
    raint
    -0.72
    raints
    -0.72
    iful
    -0.69
    inctions
    -0.68
     Afric
    -0.67
    POSITIVE LOGITS
    åĤ
    1.01
    nder
    0.93
    âĹ¼
    0.90
    ĸ
    0.90
    ¾
    0.90
    ï¸ı
    0.89
    çķ
    0.89
    gy
    0.86
    ħĭ
    0.86
    fter
    0.82
    Activations Density 0.006%

    No Known Activations