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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. 20489
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those of individuals

    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
    ModLoader
    -0.76
    etheless
    -0.74
    LEASE
    -0.72
     Melania
    -0.68
    theless
    -0.67
     underwater
    -0.66
     Millennials
    -0.66
     Oprah
    -0.65
    UTERS
    -0.65
     Alibaba
    -0.64
    POSITIVE LOGITS
    zen
    1.02
    atz
    0.96
    acci
    0.96
    burn
    0.95
    utsch
    0.94
    inger
    0.92
    itz
    0.92
    inski
    0.92
    ham
    0.91
    owski
    0.91
    Activations Density 0.331%

    No Known Activations