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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. 7-RES-JB
    6. 15419
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    INDEX
    Explanations

    descriptions or mentions of something being sleazy

    oai_token-act-pair · gpt-3.5-turbo

    terms related to laziness or a lack of activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nas
    -0.74
    cake
    -0.72
    interrupted
    -0.67
    eous
    -0.66
    ians
    -0.65
     Kush
    -0.62
    iates
    -0.62
    LESS
    -0.61
     Kore
    -0.61
    pour
    -0.61
    POSITIVE LOGITS
    azy
    1.08
    igh
    1.01
    eker
    0.99
    pload
    0.94
    ppings
    0.92
    asure
    0.92
    vati
    0.88
    uth
    0.86
    eper
    0.86
    combe
    0.85
    Activations Density 0.021%

    No Known Activations