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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. 93
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    INDEX
    Explanations

    references to hacking or hacker-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to hacking and cybersecurity

    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
    Lago
    -0.72
     citiz
    -0.71
    ufact
    -0.69
     heirs
    -0.65
    uana
    -0.65
    etus
    -0.64
    hani
    -0.63
    ña
    -0.63
    ttle
    -0.62
     Seym
    -0.61
    POSITIVE LOGITS
    tips
    0.68
    sels
    0.68
     Dull
    0.64
     Dirty
    0.62
    estern
    0.62
    fil
    0.60
    itiveness
    0.60
    cs
    0.58
     mouse
    0.57
    nuts
    0.57
    Activations Density 1.011%

    No Known Activations